From 345669a19866b90e8ae751e8f4813f7facdca798 Mon Sep 17 00:00:00 2001
From: Alex Rojas <a.rojas8907@gmail.com>
Date: Thu, 14 Mar 2024 18:03:29 -0700
Subject: [PATCH] updated build-env.sh to use conda instead of mamba. Edited
 the GapDS code using original code from forest server.

---
 .../GEDI-L1B-2021-URLS-checkpoint.txt         |  524 ++++++
 .../GEDI-L2A-2021-URLS-checkpoint.txt         |  524 ++++++
 ...MAINS-HSE-2020to2023-edited-checkpoint.csv |   20 +
 .ipynb_checkpoints/build-env-checkpoint.sh    |   19 +
 .ipynb_checkpoints/environment-checkpoint.yml |   16 +
 .../get_gedi_data-checkpoint.py               |   35 +
 .ipynb_checkpoints/main-checkpoint.py         |  230 +++
 .ipynb_checkpoints/pgap-checkpoint.py         |  322 ++++
 .ipynb_checkpoints/run-checkpoint.sh          |   17 +
 GEDI-L1B-2021-URLS.txt                        |    4 -
 GEDI-L2A-2021-URLS.txt                        | 1050 ++++++------
 NEON-DOMAINS-HSE-2020to2023-edited.csv        |    2 +-
 __pycache__/get_gedi_data.cpython-312.pyc     |  Bin 1920 -> 1911 bytes
 __pycache__/pgap.cpython-312.pyc              |  Bin 13781 -> 13781 bytes
 build-env.sh                                  |    9 +-
 main.py                                       |   68 +-
 .../run-gedi-biomass-checkpoint.ipynb         | 1508 ++++++++++++++++-
 notebooks/run-gedi-biomass.ipynb              | 1215 ++++++++++++-
 pgap.py                                       |    6 +-
 run.sh                                        |    4 +-
 20 files changed, 4938 insertions(+), 635 deletions(-)
 create mode 100644 .ipynb_checkpoints/GEDI-L1B-2021-URLS-checkpoint.txt
 create mode 100644 .ipynb_checkpoints/GEDI-L2A-2021-URLS-checkpoint.txt
 create mode 100644 .ipynb_checkpoints/NEON-DOMAINS-HSE-2020to2023-edited-checkpoint.csv
 create mode 100644 .ipynb_checkpoints/build-env-checkpoint.sh
 create mode 100644 .ipynb_checkpoints/environment-checkpoint.yml
 create mode 100644 .ipynb_checkpoints/get_gedi_data-checkpoint.py
 create mode 100644 .ipynb_checkpoints/main-checkpoint.py
 create mode 100644 .ipynb_checkpoints/pgap-checkpoint.py
 create mode 100644 .ipynb_checkpoints/run-checkpoint.sh

diff --git a/.ipynb_checkpoints/GEDI-L1B-2021-URLS-checkpoint.txt b/.ipynb_checkpoints/GEDI-L1B-2021-URLS-checkpoint.txt
new file mode 100644
index 0000000..5836dfd
--- /dev/null
+++ b/.ipynb_checkpoints/GEDI-L1B-2021-URLS-checkpoint.txt
@@ -0,0 +1,524 @@
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diff --git a/.ipynb_checkpoints/GEDI-L2A-2021-URLS-checkpoint.txt b/.ipynb_checkpoints/GEDI-L2A-2021-URLS-checkpoint.txt
new file mode 100644
index 0000000..e2c9c47
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\ No newline at end of file
diff --git a/.ipynb_checkpoints/NEON-DOMAINS-HSE-2020to2023-edited-checkpoint.csv b/.ipynb_checkpoints/NEON-DOMAINS-HSE-2020to2023-edited-checkpoint.csv
new file mode 100644
index 0000000..4442320
--- /dev/null
+++ b/.ipynb_checkpoints/NEON-DOMAINS-HSE-2020to2023-edited-checkpoint.csv
@@ -0,0 +1,20 @@
+domain,alpha,beta,a,b,alpha_R2,alpha_rmse,beta_R2,beta_rmse,HSE,k
+D01,2.1572,0.6012,0.3861,2.4172,0.7948,0.6186,0.6737,0.2475,2.1698,0.1374
+D02,2.271,0.6878,0.3844,1.8789,0.8567,0.6814,0.8163,0.2526,1.6368,0.4157
+D03,2.41,0.5978,0.1554,1.9862,0.7237,1.0622,0.6068,0.3779,1.9355,0.6481
+D04,3.4556,0.3366,0.0487,2.5282,0.553,1.2323,0.3851,0.2721,3.4865,0.0829
+D05,2.4488,0.6189,0.1375,2.3758,0.8349,0.6954,0.7739,0.2372,1.7829,0.4439
+D06,2.8204,0.5321,0.1342,2.0938,0.8734,0.7112,0.6918,0.3004,1.9383,0.4634
+D07,2.3704,0.631,0.2226,2.2403,0.8375,0.75,0.8015,0.2866,1.799,0.3486
+D08,2.6336,0.636,0.1501,2.1019,0.8372,0.8452,0.7857,0.2568,1.5109,0.6445
+D09,,,,,,,,,1.56,
+D10,1.8393,0.5969,0.2969,1.6349,0.5313,0.8107,0.597,0.2815,2.5111,0.6488
+D11,2.9187,0.5095,0.1542,1.6502,0.8263,0.6523,0.6997,0.249,2.0065,0.9081
+D12,2.8231,0.5426,0.0492,1.9606,0.8793,0.7181,0.8643,0.2395,1.8628,1.7008
+D13,2.229,0.7632,0.1119,0.91,0.738,0.7827,0.6317,0.3532,1.3917,11.4434
+D14,,0.8936,,0.5258,,,0.4397,0.2172,1.56,
+D15,2.3559,0.155,0.7807,2.3267,0.4221,0.7376,0.0872,0.2551,1.8628,0.0
+D16,2.1004,0.801,0.3335,1.3291,0.8866,0.6551,0.8748,0.2875,1.3965,1.4735
+D17,2.2601,0.7142,0.2322,1.0253,0.754,1.0605,0.813,0.3402,1.5404,4.0151
+D19,2.7256,0.6659,0.0487,1.4185,0.8095,0.7548,0.6888,0.2925,1.2777,7.1902
+D20,2.7748,0.5558,0.0535,2.0948,0.737,1.1261,0.7135,0.3204,1.8238,1.3068
diff --git a/.ipynb_checkpoints/build-env-checkpoint.sh b/.ipynb_checkpoints/build-env-checkpoint.sh
new file mode 100644
index 0000000..802ebb2
--- /dev/null
+++ b/.ipynb_checkpoints/build-env-checkpoint.sh
@@ -0,0 +1,19 @@
+#!/bin/bash
+
+# source activate base
+basedir=$( cd "$(dirname "$0")" ; pwd -P)
+echo installing environment...
+mamba env create --name osgeo-env -f ${basedir}/environment.yml
+# conda create --name osgeo-env --clone base
+# source activate osgeo-env
+# mamba install -c conda-forge scipy -y
+# mamba install -c conda-forge h5py -y
+# mamba install -c conda-forge geopandas -y
+
+# Install the maap.py environment
+echo trying to install maap-py...
+source activate osgeo-env
+git clone --single-branch --branch v3.0.1 https://github.com/MAAP-Project/maap-py.git
+cd maap-py
+pip install -e .
+echo installed maap-py package!
diff --git a/.ipynb_checkpoints/environment-checkpoint.yml b/.ipynb_checkpoints/environment-checkpoint.yml
new file mode 100644
index 0000000..e3512e4
--- /dev/null
+++ b/.ipynb_checkpoints/environment-checkpoint.yml
@@ -0,0 +1,16 @@
+name: osgeo-env
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  - boto3
+  - botocore
+  - fsspec
+  - s3fs
+  - geopandas
+  - geopandas-base
+  - h5py
+  - numpy
+  - pandas
+  - python
+  - scipy
\ No newline at end of file
diff --git a/.ipynb_checkpoints/get_gedi_data-checkpoint.py b/.ipynb_checkpoints/get_gedi_data-checkpoint.py
new file mode 100644
index 0000000..13606fb
--- /dev/null
+++ b/.ipynb_checkpoints/get_gedi_data-checkpoint.py
@@ -0,0 +1,35 @@
+
+import sys
+import h5py
+import boto3
+import botocore
+import fsspec
+import requests
+from maap.maap import MAAP
+maap = MAAP(maap_host="api.maap-project.org")
+import os
+
+
+def lpdaac_gedi_https_to_s3(url):
+    dir_comps = url.split("/")
+    return f"s3://lp-prod-protected/{dir_comps[6]}/{dir_comps[8].strip('.h5')}/{dir_comps[8]}"
+
+def get_gedi_data(url):
+    credentials = maap.aws.earthdata_s3_credentials(
+        'https://data.lpdaac.earthdatacloud.nasa.gov/s3credentials'
+    )
+
+    s3 = fsspec.filesystem(
+        "s3",
+        key=credentials['accessKeyId'],
+        secret=credentials['secretAccessKey'],
+        token=credentials['sessionToken']
+    )
+    basename = os.path.basename(url)
+    outfp = f"output/{basename}"
+    gedi_ds = h5py.File(s3.open(lpdaac_gedi_https_to_s3(url), "rb"), "r")
+    with h5py.File(outfp, 'w') as dst:
+        for obj in gedi_ds.keys():        
+            gedi_ds.copy(obj, dst)   
+    gedi_ds.close()
+    return outfp
\ No newline at end of file
diff --git a/.ipynb_checkpoints/main-checkpoint.py b/.ipynb_checkpoints/main-checkpoint.py
new file mode 100644
index 0000000..5cef74c
--- /dev/null
+++ b/.ipynb_checkpoints/main-checkpoint.py
@@ -0,0 +1,230 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Mon Oct 24 10:20:58 2022
+
+@author: arojas
+
+"""
+
+import pandas as pd
+import numpy as np
+import os
+import sys
+import geopandas as gpd
+import h5py
+import multiprocessing as mp
+from pgap import GapDS
+from pgap import wf_smooth
+import re
+import glob
+from get_gedi_data import get_gedi_data
+
+#####################
+## Global Parameters
+#####################
+
+## GET CWD of file to locate path
+CWD = os.path.dirname(os.path.abspath(__file__))
+
+#####################
+#####################
+
+## Function to return beam dataframe with some meta data
+def get_beam_gdf(beam):
+    # Create gdf to filter for GEDI returns
+    shot_number = l1b_ds[beam]["shot_number"][:]
+    lat = l1b_ds[beam]['geolocation']['latitude_bin0'][:]
+    lon = l1b_ds[beam]['geolocation']['longitude_bin0'][:]
+    degrade = l1b_ds[beam]['geolocation']['degrade'][:]
+    sf = l1b_ds[beam]['stale_return_flag'][:]
+    l2_qf = l2a_ds[beam]['quality_flag'][:]
+    modis_nonveg = l2a_ds[beam]['land_cover_data']["modis_nonvegetated"][:]
+
+    # create geodataframe to filter for each domain
+    beam_gdf = gpd.GeoDataFrame({"shot_number":shot_number, "lat":lat, "lon":lon,
+                                 "sf":sf, "degrade":degrade, "qf":l2_qf, "modis_nonveg":modis_nonveg},
+                                geometry=gpd.points_from_xy(lon,lat),
+                                crs="EPSG:4326")
+    return beam_gdf
+
+
+def gedi_bioindex(index):
+    wfCount = l1b_ds[beam]['rx_sample_count'][index] # Number of samples in the waveform
+    wfStart = int(l1b_ds[beam]['rx_sample_start_index'][index] - 1)  # Subtract one because python array indexing starts at 0 not 1
+    noise_mean_corrected = l1b_ds[beam]['noise_mean_corrected'][index]
+    # Grab the elevation recorded at the start and end of the full waveform capture
+    zStart = l1b_ds[f'{beam}/geolocation/elevation_bin0'][index] # Height of the start of the rx window
+    zEnd = l1b_ds[f'{beam}/geolocation/elevation_lastbin'][index]
+    # level 2 metrics
+    zGround = l2a_ds[beam]['elev_lowestmode'][index] # ground
+    zTop = l2a_ds[beam]['elev_highestreturn'][index] # top of canopy (rh100)
+    rh100 = l2a_ds[beam]['rh'][index][-2]
+
+    ## Calculate bioindex from waveform
+    elev_arr = np.linspace(zStart, zEnd, wfCount)
+    # convert elev to ht by subtracting ground
+    ht_arr = elev_arr - zGround
+    
+    # Retrieve the waveform sds layer using the sample start index and sample count information to slice the correct dimensions
+    waveform = l1b_ds[beam]['rxwaveform'][wfStart: wfStart + wfCount]
+    waveform_noisermvd = waveform - noise_mean_corrected
+    # smooth waveform
+    waveform_smooth = wf_smooth(waveform_noisermvd)
+    
+    # get bioindex using HSE from NEON db analysis
+    beam_domain = beam_filt.loc[index]['DomainID']
+    try:
+        if pd.isnull(beam_domain):
+            cval = 1.63 #
+        else:
+            cval =  allom_df[allom_df['domain']==beam_domain]['HSE'].values[0]
+
+        # get pgap
+        pgap = GapDS(waveform_smooth, ht_arr, np.array([rh100]),
+                               calc_refl_vg = False,
+                               utm_x=None,utm_y=None,cval=cval)
+    except:
+        # bad data (fix for future)
+        return (np.nan,np.nan,np.nan,np.nan,np.nan)
+    # return a tuple of biwf and bfp
+    return (pgap.biWF[0], pgap.biFP[0], np.nanmin(pgap.gap), np.nanmax(pgap.lai), rh100, cval)
+
+
+##########
+## Process entire CONUS data
+##########
+if __name__ == '__main__':
+    
+    # File handling
+    l1b_url = sys.argv[1] # first index is python file name, second is arg1, etc
+    l2a_url = sys.argv[2] # e.g. 'GEDI01_B' or 'GEDI02_A'
+    outdir = sys.argv[3]
+
+    # Get filenames for downloaded gedi
+    l1b_basename = os.path.basename(l1b_url)
+    l2a_basename = os.path.basename(l2a_url)
+    
+    # Read in domain polys and allom data
+    domain_poly_fp = os.path.join(CWD, "NEON_Domains/NEON_Domains.shp")
+    domain_polys = gpd.read_file(domain_poly_fp)
+    allom_fp = os.path.join(CWD, "NEON-DOMAINS-HSE-2020to2023-edited.csv")
+    allom_df = pd.read_csv(allom_fp)
+    
+    
+    try:
+        # get level 1 and level 2 data
+        print(l1b_basename)
+        print(l2a_basename)
+        l1b_fp = get_gedi_data(l1b_url)
+        l2a_fp = get_gedi_data(l2a_url)
+        l1b_ds = h5py.File(l1b_fp, "r")
+        l2a_ds = h5py.File(l2a_fp, "r")
+    except Exception as e:
+        # Some raw L1B files are corrupt?
+        print("Corrupt file: ", l1b_basename)
+        print(e)
+        sys.exit()
+    
+    
+    # Init output file path
+    orbit_num = re.findall("O[0-9]{5}", l1b_basename)[0]
+    track_num = re.findall("T[0-9]{5}", l1b_basename)[0]
+    date_str = re.findall("[0-9]{13}", l1b_basename)[0]
+    # outfp = os.path.join(outdir, "output",f"GEDI_bioindex_{date_str}_{orbit_num}_{track_num}.csv")
+    outfp = os.path.join(outdir, f"GEDI_bioindex_{date_str}_{orbit_num}_{track_num}.csv")
+    
+    
+    ####################
+    ## Loop through each beam
+    ####################
+    
+    # init df_list to concat afterwards
+    df_list = []
+    beamNames = [g for g in l1b_ds.keys() if g.startswith('BEAM')]
+    for beam in beamNames:
+        
+        # get the beam gdf
+        try:
+            beam_gdf = get_beam_gdf(beam)
+        except:
+            print(f"File {l1b_basename} has an issue at {beam}")
+            continue
+        
+        # quality flag filter
+        beam_gdf = beam_gdf.loc[beam_gdf['qf']==1]
+
+        # Spatially filter beam_gdf (fastest approach)
+        beam_filt = gpd.sjoin(beam_gdf, domain_polys[["DomainID", 'geometry']],
+                              predicate='intersects', how="inner")
+        if len(beam_filt)==0:
+            continue
+
+        # get shotnumber indices
+        idx = beam_filt.index.to_list()
+        if not isinstance(idx, list):
+            idx = [idx]
+
+        # run function in parallel (not available in MAAP)
+        # pool = mp.Pool(10)
+        # results = pool.map(gedi_bioindex, idx)
+        # results = pool.starmap(gedi_bioindex, zip(idx, repeat(l1b_ds), repeat(l2a_ds)))
+
+        # biWF_list = [bi[0] for bi in results]
+        # biFP_list = [bi[1] for bi in results]
+        # gap_list = [bi[2] for bi in results]
+        # lai_list = [bi[3] for bi in results]
+        # rh_list = [bi[4] for bi in results]
+
+
+        biWF_list = []
+        biFP_list = []
+        gap_list = []
+        lai_list = []
+        rh_list = []
+        cval_list = []
+        print("Running pgap iteratively...")
+        for i in idx:
+            results = gedi_bioindex(i)
+            # save to lists
+            biWF_list.append(results[0])
+            biFP_list.append(results[1])
+            gap_list.append(results[2])
+            lai_list.append(results[3])
+            rh_list.append(results[4])
+            cval_list.append(results[5])
+        print("Done!")
+
+        # Create out_df to output as csv
+        new_df = beam_filt[['shot_number', "lat", "lon", 'qf',"DomainID"]].copy().reset_index(drop=True)
+        ## Add new variables
+        new_df['beam'] = beam
+        new_df['biwf'] = np.round(biWF_list,3)
+        new_df['bifp'] = np.round(biFP_list,3)
+        new_df['gap'] = np.round(gap_list,3)
+        new_df['lai'] = np.round(lai_list,3)
+        new_df['rh'] = np.round(rh_list,3)
+        new_df['cval'] = np.round(cval_list,3)
+        
+        # append to df_list
+        df_list.append(new_df)
+        
+    ####################
+    ####################
+
+    ## Save results
+    try:
+        out_df = pd.concat(df_list, ignore_index=True)
+        out_df.to_csv(outfp, index=False)
+        # Close h5py files and delete so they are not saved!
+        l1b_ds.close()
+        l2a_ds.close()
+        os.remove(l1b_fp)
+        os.remove(l2a_fp)
+    except Exception as e:
+        print("Couldnt save file: ", l1b_basename)
+        print("outdir: ", outdir)
+        print("outfp: ", outfp)
+        print(e)
+        sys.exit()
+
diff --git a/.ipynb_checkpoints/pgap-checkpoint.py b/.ipynb_checkpoints/pgap-checkpoint.py
new file mode 100644
index 0000000..f91dfbd
--- /dev/null
+++ b/.ipynb_checkpoints/pgap-checkpoint.py
@@ -0,0 +1,322 @@
+# Import libraries
+import numpy as np
+from scipy.spatial import KDTree
+import warnings
+warnings.filterwarnings("ignore")
+from scipy import ndimage
+
+# --------------------------DATA STRUCTURE FOR PGAP PROCESSED WAVEFORM-------------------------- #
+
+class GapDS:
+    
+
+    """Calculates gap probability and bioindex using full waveform lidar data.
+
+    Parameters
+    ----------
+    wf : ndarray
+        Input directory with LVIS level 1 (.h5) and level 2 (.TXT) files to be joined.
+    ht : ndarray
+        Output directory to save the joined LVIS files. Default is None, which output to the same directory as the input files.
+    rh : array-like
+        1d array or list of RH values indicating canopy top.
+    calc_refl_vg : bool
+        Calculate reflectance of vegetation / reflectance of ground. Default is set to False and refl_v/refl_g attribute is set to 1.
+    
+
+    """
+
+
+    def __init__(self, wf, ht, rh, calc_refl_vg = False,
+        utm_x=None,utm_y=None,cval=2, **kwargs):
+
+            
+        """
+        Constructor method
+        """
+    
+        self.wf = np.copy(wf)
+        if wf.ndim == 1:
+            self.wf = np.expand_dims(wf, axis=0)
+        self.ht = np.copy(ht)
+        if wf.ndim == 1:
+            self.wf = np.expand_dims(wf, axis=0)
+        self.rh = rh
+        self.c = cval
+        self.refl_vg = np.array([1.0] * len(self.wf)) # init to 1
+        self.dz = self.ht[0][0] - self.ht[0][1]
+        
+        if calc_refl_vg is True:
+            self.utmx=utm_x
+            self.utmy=utm_y
+            self.refl_v = np.array([1.0] * len(self.wf))
+            self.refl_g = np.array([1.0] * len(self.wf))
+            
+        self.calc_refl_vg = calc_refl_vg
+
+        # Get the extra kwargs and save as attributes of same name
+        # (e.g szn=[15,30,45,60])
+        for attr in kwargs.keys():
+            self.__dict__[attr] = kwargs[attr]
+
+        # call the functin below to get gap, etc.
+        self.lvisMainProcessFunc(c=cval)
+
+    # Define properties for wf and ht data
+    @property
+    def wf(self):
+        return self._wf
+    @wf.setter
+    def wf(self, value):
+        if not isinstance(value, np.ndarray):
+            raise TypeError('wf must be an ndarray, where each row is a seperate waveform.')
+        if value.ndim == 1:
+            value = np.expand_dims(value, axis=0)
+        self._wf = value
+
+    @property
+    def ht(self):
+        return self._ht
+    @ht.setter
+    def ht(self, value):
+        if not isinstance(value, np.ndarray):
+            raise TypeError('ht must be an ndarray of heights same shape as the waveforms.')
+        if value.ndim == 1:
+            value = np.expand_dims(value, axis=0)
+        if value.shape != self.wf.shape:
+            raise TypeError("wf and ht arrays are of different shapes.")
+        self._ht = value
+
+    @property
+    def rh(self):
+        return self._rh
+    @rh.setter
+    def rh(self, value):
+        if (not isinstance(value, list)) and (not isinstance(value, np.ndarray)):
+            raise TypeError('rh must be a list or an array of values that correspond to the relative' \
+                        "heights for each waveform from which gap probability is calculated to the ground.")
+        if len(value) != len(self.wf):
+            raise TypeError("rh must be same length as the wf and ht arrays.")
+        self._rh = value
+
+
+    def lvisMainProcessFunc(self, c):
+        
+        ## First, seperate ground and vegetation return (use the function vegGroundSep())
+        
+        # Call function to seperate vegetation from ground
+        self.vegGroundSep()
+        
+        if self.calc_refl_vg is True:
+            # concat the utmx and utmy values
+            utm_xy = np.concatenate([self.utmx.reshape(-1,1),self.utmy.reshape(-1,1)],axis=1)
+            # calculate nearest neighbor using sklearn KDtree
+            tree = KDTree(utm_xy)
+            nearest_dist, nearest_ind = tree.query(utm_xy, k=2) 
+            self.nn = nearest_ind[:, 1]     # drop id
+        
+        # call function to calculate gap and foliage
+        self.gap_fol_calc()
+        # Calculate biWF and biFP
+        self.bioWF()
+        self.bioFP()
+        
+    def vegGroundSep(self):
+        # Get the first vegetation indices (RH100) for each wf
+        in_bools = self.ht<=np.reshape(self.rh, (-1, 1))
+        i_veg_first = np.argmax(in_bools,1)
+
+        # Loop through the waveforms and seperate ground and vegetation
+        # init lists to save data
+        i_grd_list=[]
+        i_grd_last_list=[]
+        i_veg_last_list=[]
+        waveNorm_list=[]
+        dpdz_list=[]
+        for i in range(len(self.wf)):
+            # Save the wf and ht to variables
+            wf = self.wf[i]
+            ht = self.ht[i]
+            # Get the ground idx
+            grd = np.where(np.absolute(ht) == np.min(np.absolute(ht)))
+            i_grd = grd[0][0]
+            i_grd_list.append(i_grd)
+
+            noise = 2 * np.std(wf[0:i_veg_first[i]])
+            grnd_in = np.where(wf[i_grd:] < noise)
+
+            try:
+                i_grd_last = i_grd + np.min(grnd_in)
+            except:
+                noise = 2 * np.std(wf[0:i_grd-1])
+                grnd_in = np.where(wf[i_grd:] < noise)
+                i_grd_last = i_grd + np.min(grnd_in)
+                
+            i_grd_last_list.append(i_grd_last)
+            # Last veg return index
+            temp_veg = np.min([5, -ht[i_grd_last]])
+            i_veg_last = np.max(np.where(ht >= temp_veg))            
+            i_veg_last_list.append(i_veg_last)
+
+            ## Update waveform and heights
+            self.wf[i][0:i_veg_first[i]-1] = np.nan
+            self.wf[i][i_grd_last+1:] = np.nan
+            self.ht[i][0:i_veg_first[i]-1] = np.nan
+            self.ht[i][i_grd_last+1:] = np.nan
+
+            # Normalize waveform (wf/sum(wf))
+            temp_wfnorm = np.divide(self.wf[i], np.nansum(self.wf[i]))
+            waveNorm = temp_wfnorm
+            waveNorm_list.append(waveNorm)
+            # Add a variable dpdz
+            dpdz = temp_wfnorm / self.dz
+            # Correct for negative return values AR 4.12
+            dpdz[dpdz<0]=0
+            dpdz_list.append(dpdz)
+            
+            
+        # Add data to class (as arrays for easier data manipulation)
+        self.i_veg_first = i_veg_first
+        self.i_grd = np.array(i_grd_list)
+        self.i_grd_last = np.array(i_grd_last_list)
+        self.i_veg_last = np.array(i_veg_last_list)
+        self.waveNorm = np.array(waveNorm_list)
+        self.dpdz = np.array(dpdz_list)
+        
+    
+    def gap_fol_calc(self):
+        
+        ## Rho_vg calculation
+        # cur_wf = self.dpdz
+        cur_veg_first = self.i_veg_first
+        cur_veg_last = self.i_veg_last
+        cur_grd_last = self.i_grd_last
+        
+        ## Calculating sum of veg return and ground return
+        cols = np.arange(self.dpdz.shape[1]).reshape(-1, 1)
+        # Current
+        tmask = (cur_veg_first <= cols) & (cols<cur_veg_last)
+        R_cur_v = np.nansum(self.dpdz.T*tmask,axis=0)
+        tmask = (cur_veg_last+1 <= cols) & (cols<cur_grd_last)
+        R_cur_g = np.nansum(self.dpdz.T*tmask,axis=0)
+        
+        if self.calc_refl_vg is True:
+
+            ## Calcualte Rv/Rg
+            # Get the nn wf and veg and ground indices
+            nearestn = self.nn
+            neb_wf = self.dpdz[nearestn]
+            nn_veg_first = self.i_veg_first[nearestn]
+            nn_veg_last = self.i_veg_last[nearestn]
+            nn_grd_last = self.i_grd_last[nearestn]
+            # Neighbor calculate sum of veg and ground return
+            tmask = (nn_veg_first <= cols) & (cols<nn_veg_last)
+            R_neb_v = np.nansum(neb_wf.T*tmask,axis=0)
+            tmask = (nn_veg_last+1 <= cols) & (cols<nn_grd_last)
+            R_neb_g = np.nansum(neb_wf.T*tmask,axis=0)
+
+            del neb_wf
+            
+            R_vg=(R_cur_v - R_neb_v)/(R_neb_g - R_cur_g)
+            # Calculate R_v and R_g
+            R_v = (R_neb_g*R_cur_v - R_cur_g*R_neb_v) / (R_neb_g - R_cur_g)
+            R_g = (R_cur_g*R_neb_v - R_neb_g*R_cur_v) / (R_neb_v - R_cur_v)
+
+            self.refl_v = R_v
+            self.refl_g = R_g
+            self.refl_vg = R_vg
+            
+        # Save Rv/Rg to variable
+        R_vg=self.refl_vg
+
+        # Calculate vegetation cover
+        veg_cover = R_cur_v / (R_cur_v + (R_vg)*R_cur_g)
+        veg_cover2 = R_cur_v / (R_cur_v + R_cur_g)
+
+        # Vegetation return dz
+        tmask = (cur_veg_first <= cols) & (cols<cur_veg_last)
+        R_cur_vz = np.nancumsum(self.dpdz.T*tmask,axis=0)
+        
+        # Calculate gap probability
+        pgap = 1-(R_cur_vz.T / (R_cur_v.reshape(-1,1) + R_vg.reshape(-1,1) * R_cur_g.reshape(-1,1)))
+        pgap[~tmask.T]=np.nan
+
+        # Foliage accum and density
+        foliage_accum =  -(np.log(pgap)) / 0.5
+        foliage_dens = (self.dpdz * (1/pgap)) / 0.5
+
+        # Save vals to attributes
+        self.cov = veg_cover
+        self.covUncorr = veg_cover2
+        self.gap = pgap
+        self.fdp = foliage_dens
+        self.lai = foliage_accum
+        
+    def bioWF(self):
+        ## Waveform based biomass index
+        dp = np.absolute(np.diff(self.gap, append=np.nan))
+        # biowf = self.ht**self.c * dp
+        self.biWF = np.nansum(self.ht**self.c * dp, axis=1)
+
+    def bioFP(self):
+        ## Foliage profile based biomass index
+        dp = np.absolute(np.diff(self.gap, append=np.nan))
+        # biofp = (self.ht**self.c * dp) / self.gap
+        self.biFP = np.nansum((self.ht**self.c * dp) / self.gap, axis=1)
+
+    # def biomassFP(self):
+
+    #     ## Testing for tropical forests (Mondah Forest, Gabon)
+    #     beta = 0.5
+    #     b = np.exp(1.2)
+    #     alpha = 3.854
+    #     a = np.exp(2.346)
+    #     G = 0.5
+    #     gamma = 1
+    #     F = 0.6
+    #     rho = 0.55
+
+
+    #     k_coef = (np.pi / 40) * ((b**(-2/beta) * F * rho) / (a * G * gamma * Fa)
+
+
+#############
+## FullWF Utilities
+#############
+
+def wf_smooth(wfarr,sigmean=None,sd=5):
+    
+    """
+    Parameters
+    ----------
+    wfarr : ndarray
+        Array of lvis data. 2d for multiple waveforms or 1d for single wf.
+    sigmean : array_like
+        Mean signal noise.
+    sd : None or int
+        Standard deviation for Gaussian kernel. (Default is 5)
+        The larger the smoother the function.
+
+    Returns
+    ----------
+    Waveforms with mean signal noise removed and
+    smoothed using a gaussian 1D kernel.
+
+    """
+     
+    # Read the waveforms and perform a gaussian smooth
+    if sigmean is not None:
+        if isinstance(sigmean, int):
+             wfarr = wfarr-sigmean
+        else:
+            if isinstance(sigmean, list):
+                sigmean = np.array(sigmean) 
+            if wfarr.ndim != sigmean.ndim:
+                sigmean = sigmean.reshape(-1,1)
+            wfarr = wfarr - sigmean # 2
+    smoothwfs = ndimage.gaussian_filter1d(wfarr,sd)
+
+    # Return the smoothed wf
+    return smoothwfs
+
+
diff --git a/.ipynb_checkpoints/run-checkpoint.sh b/.ipynb_checkpoints/run-checkpoint.sh
new file mode 100644
index 0000000..4a8471e
--- /dev/null
+++ b/.ipynb_checkpoints/run-checkpoint.sh
@@ -0,0 +1,17 @@
+#!/bin/bash
+
+# Gets directory of .sh file
+basedir=$( cd "$(dirname "$0")" ; pwd -P)
+
+# Activate environment that was created in the builed-env.sh file
+# source activate osgeo-env
+
+# Create output dir
+# OUTPUTDIR="${PWD}/output"
+# mkdir -p output
+# INPUT_FILES
+L1B_URL=$1
+L2A_URL=$2 # e.g. GEDI01_B or GEDI02_A
+# YR=$3
+# python ${basedir}/main.py ${L1B_URL} ${L2A_URL} ${OUTPUTDIR}
+python ${basedir}/main.py ${L1B_URL} ${L2A_URL} output
diff --git a/GEDI-L1B-2021-URLS.txt b/GEDI-L1B-2021-URLS.txt
index 9ebe599..5836dfd 100644
--- a/GEDI-L1B-2021-URLS.txt
+++ b/GEDI-L1B-2021-URLS.txt
@@ -22,7 +22,6 @@ https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.03/GEDI01_B_20
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.03/GEDI01_B_2021154232048_O14023_03_T07119_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.04/GEDI01_B_2021155005343_O14024_03_T09966_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.04/GEDI01_B_2021155022637_O14025_03_T09814_02_005_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.04/GEDI01_B_2021155162246_O14034_02_T09364_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.04/GEDI01_B_2021155175540_O14035_02_T03520_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.04/GEDI01_B_2021155192835_O14036_02_T00675_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.05/GEDI01_B_2021156170914_O14050_02_T01653_02_005_02_V002.h5
@@ -72,7 +71,6 @@ https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.11/GEDI01_B_20
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.11/GEDI01_B_2021162201506_O14145_03_T08389_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.11/GEDI01_B_2021162214800_O14146_03_T11236_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.11/GEDI01_B_2021162232055_O14147_03_T03969_02_005_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.12/GEDI01_B_2021163131702_O14156_02_T09211_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.12/GEDI01_B_2021163144957_O14157_02_T06366_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.12/GEDI01_B_2021163162251_O14158_02_T07790_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.06.12/GEDI01_B_2021163175545_O14159_02_T09061_02_005_02_V002.h5
@@ -511,7 +509,6 @@ https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.28/GEDI01_B_20
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.28/GEDI01_B_2021240124133_O15349_03_T03232_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.28/GEDI01_B_2021240141429_O15350_03_T04656_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.28/GEDI01_B_2021240154725_O15351_03_T08773_02_005_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.28/GEDI01_B_2021240172020_O15352_03_T05928_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.29/GEDI01_B_2021241071643_O15361_02_T11170_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.29/GEDI01_B_2021241084938_O15362_02_T09595_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.29/GEDI01_B_2021241102234_O15363_02_T06750_02_005_02_V002.h5
@@ -519,7 +516,6 @@ https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.29/GEDI01_B_20
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.29/GEDI01_B_2021241132826_O15365_03_T03753_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.29/GEDI01_B_2021241150122_O15366_03_T06600_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.29/GEDI01_B_2021241163417_O15367_03_T10870_02_005_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.31/GEDI01_B_2021243054435_O15391_02_T05248_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.31/GEDI01_B_2021243071731_O15392_02_T06672_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.31/GEDI01_B_2021243085026_O15393_02_T08096_02_005_02_V002.h5
 https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.08.31/GEDI01_B_2021243102322_O15394_02_T09367_02_005_02_V002.h5
diff --git a/GEDI-L2A-2021-URLS.txt b/GEDI-L2A-2021-URLS.txt
index 289de5d..e2c9c47 100644
--- a/GEDI-L2A-2021-URLS.txt
+++ b/GEDI-L2A-2021-URLS.txt
@@ -1,528 +1,524 @@
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243150209_O15397_03_T09217_02_003_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243132914_O15396_03_T10792_02_003_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243115618_O15395_03_T06522_02_003_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243102322_O15394_02_T09367_02_003_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243085026_O15393_02_T08096_02_003_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243071731_O15392_02_T06672_02_003_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243054435_O15391_02_T05248_02_003_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.29/GEDI02_A_2021241163417_O15367_03_T10870_02_003_02_V002.h5
-https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.29/GEDI02_A_2021241150122_O15366_03_T06600_02_003_02_V002.h5
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+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.25/GEDI02_A_2021237145940_O15304_03_T05482_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.25/GEDI02_A_2021237163236_O15305_03_T09752_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.25/GEDI02_A_2021237180532_O15306_03_T08330_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.26/GEDI02_A_2021238080155_O15315_02_T10726_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.26/GEDI02_A_2021238093451_O15316_02_T09151_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.26/GEDI02_A_2021238110746_O15317_02_T10575_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.26/GEDI02_A_2021238124042_O15318_02_T00615_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.26/GEDI02_A_2021238141338_O15319_03_T03309_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.26/GEDI02_A_2021238154634_O15320_03_T07579_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.26/GEDI02_A_2021238171930_O15321_03_T10426_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.27/GEDI02_A_2021239084848_O15331_02_T06978_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.27/GEDI02_A_2021239102144_O15332_02_T08402_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.27/GEDI02_A_2021239115440_O15333_02_T11249_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.27/GEDI02_A_2021239132736_O15334_03_T06828_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.27/GEDI02_A_2021239150031_O15335_03_T08252_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.27/GEDI02_A_2021239163327_O15336_03_T05254_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.28/GEDI02_A_2021240080246_O15346_02_T04805_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.28/GEDI02_A_2021240093541_O15347_02_T08922_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.28/GEDI02_A_2021240110837_O15348_02_T08923_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.28/GEDI02_A_2021240124133_O15349_03_T03232_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.28/GEDI02_A_2021240141429_O15350_03_T04656_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.28/GEDI02_A_2021240154725_O15351_03_T08773_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.29/GEDI02_A_2021241071643_O15361_02_T11170_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.29/GEDI02_A_2021241084938_O15362_02_T09595_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.29/GEDI02_A_2021241102234_O15363_02_T06750_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.29/GEDI02_A_2021241115530_O15364_03_T00906_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.29/GEDI02_A_2021241132826_O15365_03_T03753_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.29/GEDI02_A_2021241150122_O15366_03_T06600_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.29/GEDI02_A_2021241163417_O15367_03_T10870_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243071731_O15392_02_T06672_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243085026_O15393_02_T08096_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243102322_O15394_02_T09367_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243115618_O15395_03_T06522_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243132914_O15396_03_T10792_02_003_02_V002.h5
+https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.08.31/GEDI02_A_2021243150209_O15397_03_T09217_02_003_02_V002.h5
\ No newline at end of file
diff --git a/NEON-DOMAINS-HSE-2020to2023-edited.csv b/NEON-DOMAINS-HSE-2020to2023-edited.csv
index 0c400ec..4442320 100644
--- a/NEON-DOMAINS-HSE-2020to2023-edited.csv
+++ b/NEON-DOMAINS-HSE-2020to2023-edited.csv
@@ -13,7 +13,7 @@ D11,2.9187,0.5095,0.1542,1.6502,0.8263,0.6523,0.6997,0.249,2.0065,0.9081
 D12,2.8231,0.5426,0.0492,1.9606,0.8793,0.7181,0.8643,0.2395,1.8628,1.7008
 D13,2.229,0.7632,0.1119,0.91,0.738,0.7827,0.6317,0.3532,1.3917,11.4434
 D14,,0.8936,,0.5258,,,0.4397,0.2172,1.56,
-D15,2.3559,0.155,0.7807,2.3267,0.4221,0.7376,0.0872,0.2551,11.546,0.0
+D15,2.3559,0.155,0.7807,2.3267,0.4221,0.7376,0.0872,0.2551,1.8628,0.0
 D16,2.1004,0.801,0.3335,1.3291,0.8866,0.6551,0.8748,0.2875,1.3965,1.4735
 D17,2.2601,0.7142,0.2322,1.0253,0.754,1.0605,0.813,0.3402,1.5404,4.0151
 D19,2.7256,0.6659,0.0487,1.4185,0.8095,0.7548,0.6888,0.2925,1.2777,7.1902
diff --git a/__pycache__/get_gedi_data.cpython-312.pyc b/__pycache__/get_gedi_data.cpython-312.pyc
index bb8e2b51b5bf9b27091d82bf6cb2c4d04f0e57ab..724a447389755f5f99a1194696432c9f26bc1707 100644
GIT binary patch
delta 314
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diff --git a/__pycache__/pgap.cpython-312.pyc b/__pycache__/pgap.cpython-312.pyc
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diff --git a/build-env.sh b/build-env.sh
index 802ebb2..56bface 100644
--- a/build-env.sh
+++ b/build-env.sh
@@ -3,17 +3,12 @@
 # source activate base
 basedir=$( cd "$(dirname "$0")" ; pwd -P)
 echo installing environment...
-mamba env create --name osgeo-env -f ${basedir}/environment.yml
-# conda create --name osgeo-env --clone base
-# source activate osgeo-env
-# mamba install -c conda-forge scipy -y
-# mamba install -c conda-forge h5py -y
-# mamba install -c conda-forge geopandas -y
+conda env create --name osgeo-env -f ${basedir}/environment.yml
 
 # Install the maap.py environment
 echo trying to install maap-py...
 source activate osgeo-env
-git clone --single-branch --branch v3.0.1 https://github.com/MAAP-Project/maap-py.git
+git clone --single-branch --branch v3.1.4 https://github.com/MAAP-Project/maap-py.git
 cd maap-py
 pip install -e .
 echo installed maap-py package!
diff --git a/main.py b/main.py
index b0f0536..5cef74c 100644
--- a/main.py
+++ b/main.py
@@ -10,25 +10,28 @@ Created on Mon Oct 24 10:20:58 2022
 import pandas as pd
 import numpy as np
 import os
+import sys
 import geopandas as gpd
 import h5py
+import multiprocessing as mp
+from pgap import GapDS
+from pgap import wf_smooth
 import re
 import glob
-import sys
-from itertools import repeat
-# Import pgap function from wenge 
-from pgap import GapDS, wf_smooth
-# import custom functions, etc.
-# from download_gedi import download_gedi
-# from get_gedi_data import get_gedi_data
-from get_gedi_data_fsspec import get_gedi_data
+from get_gedi_data import get_gedi_data
 
+#####################
+## Global Parameters
+#####################
 
 ## GET CWD of file to locate path
 CWD = os.path.dirname(os.path.abspath(__file__))
 
+#####################
+#####################
+
 ## Function to return beam dataframe with some meta data
-def get_beam_gdf(beam,l1b_ds,l2a_ds):
+def get_beam_gdf(beam):
     # Create gdf to filter for GEDI returns
     shot_number = l1b_ds[beam]["shot_number"][:]
     lat = l1b_ds[beam]['geolocation']['latitude_bin0'][:]
@@ -46,7 +49,7 @@ def get_beam_gdf(beam,l1b_ds,l2a_ds):
     return beam_gdf
 
 
-def gedi_bioindex(index,l1b_ds,l2a_ds, beam, beam_filt, allom_df):
+def gedi_bioindex(index):
     wfCount = l1b_ds[beam]['rx_sample_count'][index] # Number of samples in the waveform
     wfStart = int(l1b_ds[beam]['rx_sample_start_index'][index] - 1)  # Subtract one because python array indexing starts at 0 not 1
     noise_mean_corrected = l1b_ds[beam]['noise_mean_corrected'][index]
@@ -73,20 +76,21 @@ def gedi_bioindex(index,l1b_ds,l2a_ds, beam, beam_filt, allom_df):
     beam_domain = beam_filt.loc[index]['DomainID']
     try:
         if pd.isnull(beam_domain):
-            cval = 1.63
+            cval = 1.63 #
         else:
             cval =  allom_df[allom_df['domain']==beam_domain]['HSE'].values[0]
+
         # get pgap
-        pgap = GapDS(waveform_smooth, ht_arr, np.array([rh100]), calc_refl_vg = False,
-                        utm_x=None,utm_y=None,cval=cval)
+        pgap = GapDS(waveform_smooth, ht_arr, np.array([rh100]),
+                               calc_refl_vg = False,
+                               utm_x=None,utm_y=None,cval=cval)
     except:
         # bad data (fix for future)
-        return (np.nan,np.nan,np.nan,np.nan,np.nan,np.nan)
+        return (np.nan,np.nan,np.nan,np.nan,np.nan)
     # return a tuple of biwf and bfp
     return (pgap.biWF[0], pgap.biFP[0], np.nanmin(pgap.gap), np.nanmax(pgap.lai), rh100, cval)
 
 
-
 ##########
 ## Process entire CONUS data
 ##########
@@ -112,7 +116,6 @@ if __name__ == '__main__':
         # get level 1 and level 2 data
         print(l1b_basename)
         print(l2a_basename)
-        CWD = os.path.dirname(os.path.abspath(__file__))
         l1b_fp = get_gedi_data(l1b_url)
         l2a_fp = get_gedi_data(l2a_url)
         l1b_ds = h5py.File(l1b_fp, "r")
@@ -120,9 +123,11 @@ if __name__ == '__main__':
     except Exception as e:
         # Some raw L1B files are corrupt?
         print("Corrupt file: ", l1b_basename)
+        print(e)
         sys.exit()
-        
-    # Init output file
+    
+    
+    # Init output file path
     orbit_num = re.findall("O[0-9]{5}", l1b_basename)[0]
     track_num = re.findall("T[0-9]{5}", l1b_basename)[0]
     date_str = re.findall("[0-9]{13}", l1b_basename)[0]
@@ -130,22 +135,28 @@ if __name__ == '__main__':
     outfp = os.path.join(outdir, f"GEDI_bioindex_{date_str}_{orbit_num}_{track_num}.csv")
     
     
+    ####################
+    ## Loop through each beam
+    ####################
+    
     # init df_list to concat afterwards
     df_list = []
-    # Loop through each beam
     beamNames = [g for g in l1b_ds.keys() if g.startswith('BEAM')]
     for beam in beamNames:
-
+        
         # get the beam gdf
         try:
-            beam_gdf = get_beam_gdf(beam,l1b_ds,l2a_ds)
+            beam_gdf = get_beam_gdf(beam)
         except:
             print(f"File {l1b_basename} has an issue at {beam}")
             continue
-        beam_gdf = beam_gdf.loc[beam_gdf['qf']==1] # quality flag filter
+        
+        # quality flag filter
+        beam_gdf = beam_gdf.loc[beam_gdf['qf']==1]
 
         # Spatially filter beam_gdf (fastest approach)
-        beam_filt = gpd.sjoin(beam_gdf, domain_polys[["DomainID", 'geometry']], op='intersects', how="inner")
+        beam_filt = gpd.sjoin(beam_gdf, domain_polys[["DomainID", 'geometry']],
+                              predicate='intersects', how="inner")
         if len(beam_filt)==0:
             continue
 
@@ -174,7 +185,7 @@ if __name__ == '__main__':
         cval_list = []
         print("Running pgap iteratively...")
         for i in idx:
-            results = gedi_bioindex(i,l1b_ds,l2a_ds,beam,beam_filt, allom_df)
+            results = gedi_bioindex(i)
             # save to lists
             biWF_list.append(results[0])
             biFP_list.append(results[1])
@@ -197,12 +208,15 @@ if __name__ == '__main__':
         
         # append to df_list
         df_list.append(new_df)
+        
+    ####################
+    ####################
 
-    # Save
+    ## Save results
     try:
-        out_df = pd.concat(df_list, axis=0, ignore_index=True)
+        out_df = pd.concat(df_list, ignore_index=True)
         out_df.to_csv(outfp, index=False)
-        # Close h5py files and delete so they are note saved!
+        # Close h5py files and delete so they are not saved!
         l1b_ds.close()
         l2a_ds.close()
         os.remove(l1b_fp)
diff --git a/notebooks/.ipynb_checkpoints/run-gedi-biomass-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/run-gedi-biomass-checkpoint.ipynb
index 363fcab..ca555ed 100644
--- a/notebooks/.ipynb_checkpoints/run-gedi-biomass-checkpoint.ipynb
+++ b/notebooks/.ipynb_checkpoints/run-gedi-biomass-checkpoint.ipynb
@@ -1,6 +1,1510 @@
 {
- "cells": [],
- "metadata": {},
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "25172537-794b-4135-bb28-63c0fcefbb68",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "\n",
+    "import os\n",
+    "import re\n",
+    "from maap.maap import MAAP\n",
+    "import re\n",
+    "# maap = MAAP(maap_host='api.maap-project.org')\n",
+    "maap = MAAP(maap_host='api.maap-project.org')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f176e75b-5104-478b-ade6-a84006e966b0",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f203a6c0-852b-4645-a3a5-4b65c462f4f5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b0d65f96-5dad-44e9-ae85-9d4086c4b29f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "b39e76ac-d765-4b8c-baf1-fe41f3296de9",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Change to appropriate filepaths for urls\n",
+    "l1b_urls_fpath = \"../GEDI-L1B-2021-URLS.txt\"\n",
+    "l2a_urls_fpath = \"../GEDI-L2A-2021-URLS.txt\"\n",
+    "# l1b_urls_fpath = \"/projects/biomass-gedi-conus/data/GEDI-L1B-2022-URLS.txt\"\n",
+    "# l2a_urls_fpath = \"/projects/biomass-gedi-conus/data/GEDI-L2A-2022-URLS.txt\"\n",
+    "\n",
+    "with open(l1b_urls_fpath) as f:\n",
+    "    l1b_fpaths = f.read().splitlines()\n",
+    "with open(l2a_urls_fpath) as f:\n",
+    "    l2a_fpaths = f.read().splitlines()\n",
+    "\n",
+    "# Get matching string pattern and run main.py\n",
+    "jobs_list = []\n",
+    "counter=1\n",
+    "for l1b_fp in l1b_fpaths:\n",
+    "    # Get string pattern\n",
+    "    str_pattern = re.findall(\"[0-9]{13}\", os.path.basename(l1b_fp))[0] \n",
+    "    try:\n",
+    "        l2a_fp = [s for s in l2a_fpaths if str_pattern in s][0]\n",
+    "    except:\n",
+    "        print(\"No matching L2 file!\", l1b_fp)\n",
+    "        continue\n",
+    "    \n",
+    "    # print(l1b_fp)\n",
+    "    # print(l2a_fp)\n",
+    "    job = maap.submitJob(identifier=\"GEDI-biomass-2022\",\n",
+    "                   algo_id=\"arojas_biomass_gedi\",\n",
+    "                   version=\"master\",\n",
+    "                   username=\"arojearthdata\",\n",
+    "                   queue=\"maap-dps-worker-16gb\",\n",
+    "                   L1B_URL=l1b_fp,\n",
+    "                   L2A_URL=l2a_fp)\n",
+    "    jobs_list.append(job)\n",
+    "    \n",
+    "    if counter%20==0:\n",
+    "        print(\"on file num: \", counter, end='\\r')\n",
+    "        break\n",
+    "        # break\n",
+    "        # time.sleep(1200)\n",
+    "    counter+=1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "8f0b9f73-ffb1-40b7-be0e-b31480571a4a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "529"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "counter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4f6093c5-1f63-4556-abb8-02714f560ad1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "7fe1c6f4-37c5-4fe7-b9ff-51e17b7a5cf0",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running\n",
+      "f2d0f231-4565-4f7b-a460-5b824de4639e\n"
+     ]
+    }
+   ],
+   "source": [
+    "# View job status\n",
+    "for job in jobs_list:\n",
+    "    print(job.retrieve_status())\n",
+    "    print(job.id)\n",
+    "    break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "2018077f-9640-4e70-bd01-a9d939b3626a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Succeeded\n",
+      "6152410f-1e33-4561-965a-83fd364e3767\n"
+     ]
+    }
+   ],
+   "source": [
+    "# View job status\n",
+    "for job in jobs_list:\n",
+    "    print(job.retrieve_status())\n",
+    "    print(job.id)\n",
+    "    break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "873e9ea7-d6cb-4bb9-b082-5bffb4026615",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Succeeded 528\n"
+     ]
+    },
+    {
+     "ename": "IndexError",
+     "evalue": "list index out of range",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[21], line 16\u001b[0m\n\u001b[1;32m     13\u001b[0m         f_list\u001b[38;5;241m.\u001b[39mappend(status)\n\u001b[1;32m     15\u001b[0m \u001b[38;5;28mprint\u001b[39m(s_list[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;28mlen\u001b[39m(s_list))\n\u001b[0;32m---> 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mr_list\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m, \u001b[38;5;28mlen\u001b[39m(r_list))\n\u001b[1;32m     17\u001b[0m \u001b[38;5;28mprint\u001b[39m(f_list[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;28mlen\u001b[39m(f_list))\n",
+      "\u001b[0;31mIndexError\u001b[0m: list index out of range"
+     ]
+    }
+   ],
+   "source": [
+    "# View job status\n",
+    "f_list = []\n",
+    "s_list = []\n",
+    "r_list = []\n",
+    "\n",
+    "for job in jobs_list:\n",
+    "    status = job.retrieve_status()\n",
+    "    if status==\"Succeeded\":\n",
+    "        s_list.append(status)\n",
+    "    elif status==\"Running\":\n",
+    "        r_list.append(status)\n",
+    "    elif status==\"Failed\":\n",
+    "        f_list.append(status)\n",
+    "        \n",
+    "print(s_list[0], len(s_list))\n",
+    "print(r_list[0], len(r_list))\n",
+    "print(f_list[0], len(f_list))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e8a40e13-dcdd-4b7f-a3b6-d060bb52eaf5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "988420a0-1145-499c-927c-eec059c0dde9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "################\n",
+    "###############\n",
+    "##############"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "31626d2a-4edf-4572-81c2-7b68080e2dd3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Some files downloaded, other didnt (due to limit on download through USGS)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "9ecb7ffc-319f-40c9-8f6e-d18b6ea1c890",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import glob\n",
+    "indir = \"/projects/my-private-bucket/dps_output/arojas_biomass_gedi/master/GEDI-biomass-2022\"\n",
+    "csv_list = []\n",
+    "for subdir, dirs, files in os.walk(indir):\n",
+    "    for file in files:\n",
+    "        if file.endswith(\".csv\"):\n",
+    "            # fp = os.path.join(subdir, file)\n",
+    "            # print(fp)\n",
+    "            # csv_list.append(fp)\n",
+    "            csv_list.append(file)\n",
+    "            "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "f3ae4e2c-fa90-41ae-8fa2-9e3fd1241157",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "637"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(csv_list)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "5bb204a4-e7d4-4a83-898f-81db03d080aa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "done\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"done\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "bb5b4efc",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running this cell now!\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.31/GEDI01_B_2022243142430_O21056_03_T06784_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.31/GEDI02_A_2022243142430_O21056_03_T06784_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.31/GEDI01_B_2022243125140_O21055_03_T02667_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.31/GEDI02_A_2022243125140_O21055_03_T02667_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.31/GEDI01_B_2022243111849_O21054_03_T05512_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.31/GEDI02_A_2022243111849_O21054_03_T05512_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.31/GEDI01_B_2022243094558_O21053_02_T01242_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.31/GEDI02_A_2022243094558_O21053_02_T01242_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.31/GEDI01_B_2022243064017_O21051_02_T02816_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.31/GEDI02_A_2022243064017_O21051_02_T02816_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.30/GEDI01_B_2022242151152_O21041_03_T05958_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.30/GEDI02_A_2022242151152_O21041_03_T05958_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.30/GEDI01_B_2022242072738_O21036_02_T10528_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.30/GEDI02_A_2022242072738_O21036_02_T10528_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.29/GEDI01_B_2022241155913_O21026_03_T05132_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.29/GEDI02_A_2022241155913_O21026_03_T05132_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.29/GEDI01_B_2022241142622_O21025_03_T03708_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.29/GEDI02_A_2022241142622_O21025_03_T03708_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.29/GEDI01_B_2022241112041_O21023_02_T10974_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.29/GEDI02_A_2022241112041_O21023_02_T10974_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.29/GEDI01_B_2022241094750_O21022_02_T01012_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.29/GEDI02_A_2022241094750_O21022_02_T01012_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.29/GEDI01_B_2022241081459_O21021_02_T03857_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.29/GEDI02_A_2022241081459_O21021_02_T03857_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.28/GEDI01_B_2022240120800_O21008_03_T08572_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.28/GEDI02_A_2022240120800_O21008_03_T08572_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.28/GEDI01_B_2022240103510_O21007_02_T00186_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.28/GEDI02_A_2022240103510_O21007_02_T00186_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.28/GEDI01_B_2022240072928_O21005_02_T10298_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.28/GEDI02_A_2022240072928_O21005_02_T10298_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.27/GEDI01_B_2022239160101_O20995_03_T07595_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.27/GEDI02_A_2022239160101_O20995_03_T07595_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.27/GEDI01_B_2022239125519_O20993_03_T10745_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.27/GEDI02_A_2022239125519_O20993_03_T10745_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.27/GEDI01_B_2022239112229_O20992_02_T07898_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.27/GEDI02_A_2022239112229_O20992_02_T07898_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.27/GEDI01_B_2022239094938_O20991_02_T06474_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.27/GEDI02_A_2022239094938_O20991_02_T06474_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.27/GEDI01_B_2022239081647_O20990_02_T02357_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.27/GEDI02_A_2022239081647_O20990_02_T02357_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.26/GEDI01_B_2022238164819_O20980_03_T11191_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.26/GEDI02_A_2022238164819_O20980_03_T11191_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.26/GEDI01_B_2022238134238_O20978_03_T09766_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.26/GEDI02_A_2022238134238_O20978_03_T09766_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.26/GEDI01_B_2022238120947_O20977_02_T09765_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.26/GEDI02_A_2022238120947_O20977_02_T09765_02_003_02_V002.h5\n",
+      "\n",
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+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.09/GEDI02_A_2022160193644_O19772_03_T09337_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.08/GEDI01_B_2022159171822_O19755_02_T05816_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.08/GEDI02_A_2022159171822_O19755_02_T05816_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.08/GEDI01_B_2022159154531_O19754_02_T04392_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.08/GEDI02_A_2022159154531_O19754_02_T04392_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.08/GEDI01_B_2022159001702_O19744_03_T08957_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.07/GEDI01_B_2022158224411_O19743_03_T10532_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.07/GEDI01_B_2022158145957_O19738_02_T03565_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.07/GEDI02_A_2022158145957_O19738_02_T03565_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.06/GEDI01_B_2022157001845_O19713_03_T07457_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.06/GEDI02_A_2022157001845_O19713_03_T07457_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.05/GEDI01_B_2022156211303_O19711_03_T08878_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.05/GEDI02_A_2022156211303_O19711_03_T08878_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.03/GEDI01_B_2022154180859_O19678_02_T02954_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.03/GEDI02_A_2022154180859_O19678_02_T02954_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.03/GEDI01_B_2022154163608_O19677_02_T01836_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.03/GEDI02_A_2022154163608_O19677_02_T01836_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.01/GEDI01_B_2022152194326_O19648_02_T04301_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.01/GEDI02_A_2022152194326_O19648_02_T04301_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.31/GEDI01_B_2022151032913_O19622_03_T09615_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.31/GEDI02_A_2022151032913_O19622_03_T09615_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.30/GEDI01_B_2022150211749_O19618_02_T11340_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.30/GEDI02_A_2022150211749_O19618_02_T11340_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.30/GEDI01_B_2022150194457_O19617_02_T08493_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.30/GEDI02_A_2022150194457_O19617_02_T08493_02_003_03_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.30/GEDI01_B_2022150041625_O19607_03_T08789_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.30/GEDI01_B_2022150024333_O19606_03_T04672_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.30/GEDI01_B_2022150011042_O19605_03_T00402_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.29/GEDI01_B_2022149233751_O19604_02_T03247_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.28/GEDI01_B_2022148225209_O19588_02_T11111_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.28/GEDI02_A_2022148225209_O19588_02_T11111_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.28/GEDI01_B_2022148011208_O19574_03_T01748_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.28/GEDI02_A_2022148011208_O19574_03_T01748_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.27/GEDI01_B_2022147050459_O19561_03_T06463_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.27/GEDI02_A_2022147050459_O19561_03_T06463_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.27/GEDI01_B_2022147015916_O19559_03_T10883_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.27/GEDI02_A_2022147015916_O19559_03_T10883_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.26/GEDI01_B_2022146212041_O19556_02_T09457_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.26/GEDI02_A_2022146212041_O19556_02_T09457_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.26/GEDI01_B_2022146055205_O19546_03_T04214_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.25/GEDI01_B_2022145020034_O19528_03_T07807_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.25/GEDI02_A_2022145020034_O19528_03_T07807_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.24/GEDI01_B_2022144225451_O19526_02_T05112_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.24/GEDI01_B_2022144212159_O19525_02_T00842_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.24/GEDI01_B_2022144011446_O19512_02_T04287_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.23/GEDI01_B_2022143220903_O19510_02_T02862_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.22/GEDI01_B_2022142225605_O19495_02_T09151_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.22/GEDI02_A_2022142225605_O19495_02_T09151_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.22/GEDI01_B_2022142212313_O19494_02_T05034_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.22/GEDI01_B_2022142055433_O19484_03_T11175_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.22/GEDI02_A_2022142055433_O19484_03_T11175_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.21/GEDI01_B_2022141234306_O19480_02_T11324_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.21/GEDI02_A_2022141234306_O19480_02_T11324_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.19/GEDI01_B_2022139064237_O19438_03_T04580_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.19/GEDI02_A_2022139064237_O19438_03_T04580_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.18/GEDI01_B_2022138090225_O19424_03_T05178_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.18/GEDI01_B_2022138042348_O19421_03_T11020_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.17/GEDI01_B_2022137064335_O19407_03_T10195_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.17/GEDI01_B_2022137051042_O19406_03_T07348_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.17/GEDI01_B_2022137033750_O19405_02_T03078_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.17/GEDI01_B_2022137020458_O19404_02_T01807_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.17/GEDI01_B_2022137003205_O19403_02_T10344_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.16/GEDI01_B_2022136090323_O19393_03_T05101_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.16/GEDI02_A_2022136090323_O19393_03_T05101_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.16/GEDI01_B_2022136025153_O19389_02_T08096_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.16/GEDI01_B_2022136011900_O19388_02_T06672_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.15/GEDI01_B_2022135234608_O19387_02_T09517_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.15/GEDI01_B_2022135064429_O19376_03_T08542_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.14/GEDI01_B_2022134103717_O19363_03_T09141_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.14/GEDI01_B_2022134073137_O19361_03_T07869_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.14/GEDI01_B_2022134055846_O19360_03_T09291_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.13/GEDI01_B_2022133081902_O19346_03_T08466_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.13/GEDI01_B_2022133064612_O19345_03_T07042_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.13/GEDI01_B_2022133051321_O19344_02_T04195_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.13/GEDI01_B_2022133034031_O19343_02_T01501_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.13/GEDI01_B_2022133020741_O19342_02_T05769_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.12/GEDI01_B_2022132060046_O19329_02_T07791_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.12/GEDI01_B_2022132042756_O19328_02_T09213_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.12/GEDI01_B_2022132025505_O19327_02_T10788_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.12/GEDI01_B_2022132012215_O19326_02_T06365_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.11/GEDI01_B_2022131082100_O19315_03_T09659_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.11/GEDI02_A_2022131082100_O19315_03_T09659_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.11/GEDI01_B_2022131064810_O19314_02_T11234_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.11/GEDI02_A_2022131064810_O19314_02_T11234_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.11/GEDI01_B_2022131034229_O19312_02_T08233_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.10/GEDI01_B_2022130090823_O19300_03_T05987_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.10/GEDI01_B_2022130073533_O19299_03_T05986_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.10/GEDI02_A_2022130073533_O19299_03_T05986_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.10/GEDI01_B_2022130060242_O19298_02_T10407_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.10/GEDI02_A_2022130060242_O19298_02_T10407_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.10/GEDI01_B_2022130025702_O19296_02_T06136_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.09/GEDI01_B_2022129095548_O19285_03_T06584_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.09/GEDI02_A_2022129095548_O19285_03_T06584_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.09/GEDI01_B_2022129065007_O19283_02_T08005_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.09/GEDI02_A_2022129065007_O19283_02_T08005_02_003_03_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.09/GEDI01_B_2022129034426_O19281_02_T02464_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.07/GEDI01_B_2022127130321_O19256_03_T04780_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.07/GEDI02_A_2022127130321_O19256_03_T04780_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.07/GEDI01_B_2022127113030_O19255_03_T09048_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.07/GEDI02_A_2022127113030_O19255_03_T09048_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.07/GEDI01_B_2022127082449_O19253_02_T04930_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.07/GEDI02_A_2022127082449_O19253_02_T04930_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.06/GEDI01_B_2022126121750_O19240_03_T01107_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.06/GEDI02_A_2022126121750_O19240_03_T01107_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.04/GEDI01_B_2022124121938_O19209_03_T09568_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.04/GEDI01_B_2022124104647_O19208_03_T10990_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.04/GEDI02_A_2022124104647_O19208_03_T10990_02_003_03_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.03/GEDI01_B_2022123082823_O19191_02_T00201_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.03/GEDI01_B_2022123065532_O19190_02_T03046_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.03/GEDI02_A_2022123065532_O19190_02_T03046_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.03/GEDI01_B_2022123052241_O19189_02_T04621_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.02/GEDI01_B_2022122074249_O19175_02_T09335_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.02/GEDI02_A_2022122074249_O19175_02_T09335_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.01/GEDI01_B_2022121144129_O19164_03_T04091_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.01/GEDI01_B_2022121130838_O19163_03_T02820_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.01/GEDI02_A_2022121130838_O19163_03_T02820_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.01/GEDI01_B_2022121113547_O19162_03_T05665_02_005_02_V002.h5\n",
+      "\n",
+      "Done\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "# print(\"Waiting some time to run this cell...\")\n",
+    "# time.sleep(3600)\n",
+    "print(\"Running this cell now!\")\n",
+    "# Get all CSV files\n",
+    "indir = \"/projects/my-private-bucket/dps_output/arojas_biomass_gedi/master/GEDI-biomass-2022\"\n",
+    "csv_list = []\n",
+    "for subdir, dirs, files in os.walk(indir):\n",
+    "    for file in files:\n",
+    "        if file.endswith(\".csv\"):\n",
+    "            # fp = os.path.join(subdir, file)\n",
+    "            # print(fp)\n",
+    "            # csv_list.append(fp)\n",
+    "            csv_list.append(file)\n",
+    "\n",
+    "\n",
+    "# Change to appropriate filepaths for urls\n",
+    "l1b_urls_fpath = \"/projects/biomass-gedi-conus/data/GEDI-L1B-2022-URLS.txt\"\n",
+    "l2a_urls_fpath = \"/projects/biomass-gedi-conus/data/GEDI-L2A-2022-URLS.txt\"\n",
+    "\n",
+    "with open(l1b_urls_fpath) as f:\n",
+    "    l1b_fpaths = f.readlines()\n",
+    "with open(l2a_urls_fpath) as f:\n",
+    "    l2a_fpaths = f.readlines()\n",
+    "\n",
+    "# Get matching string pattern and run main.py\n",
+    "jobs_list = []\n",
+    "counter=1\n",
+    "for l1b_fp in l1b_fpaths:\n",
+    "    # Get string pattern\n",
+    "    str_pattern = re.findall(\"[0-9]{13}\", os.path.basename(l1b_fp))[0] \n",
+    "    try:\n",
+    "        l2a_fp = [s for s in l2a_fpaths if str_pattern in s][0]\n",
+    "    except:\n",
+    "        print(\"No matching L2 file!\", l1b_fp)\n",
+    "        continue\n",
+    "        \n",
+    "    # Check if file was already downloaded\n",
+    "    date_str = os.path.basename(l1b_fp).split(\"_\")[2]\n",
+    "    if any(date_str in x for x in csv_list):\n",
+    "        continue\n",
+    "        \n",
+    "    print(l1b_fp)\n",
+    "    print(l2a_fp)\n",
+    "    job = maap.submitJob(identifier=\"GEDI-biomass-2022\",\n",
+    "                   algo_id=\"arojas_biomass_gedi\",\n",
+    "                   version=\"master\",\n",
+    "                   username=\"arojearthdata\",\n",
+    "                   queue=\"maap-dps-worker-16gb\",\n",
+    "                   L1B_URL=l1b_fp,\n",
+    "                   L2A_URL=l2a_fp)\n",
+    "    jobs_list.append(job)\n",
+    "    \n",
+    "    if counter%100==0:\n",
+    "        print(\"on file num: \", counter, end='\\r')\n",
+    "        time.sleep(1200)\n",
+    "    counter+=1\n",
+    "\n",
+    "print('Done')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6d8ef38d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "da773e1f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "ee0b897a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#############\n",
+    "## SCRATCH\n",
+    "#############"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "b364772a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<KeysViewHDF5 ['BEAM0000', 'BEAM0001', 'BEAM0010', 'BEAM0011', 'BEAM0101', 'BEAM0110', 'BEAM1000', 'BEAM1011', 'METADATA']>\n",
+      "[243.6951  244.02603 244.26328 244.186   243.79663 243.32755 243.1004\n",
+      " 243.24414 243.63077 243.96375]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import h5py\n",
+    "fp = \"../output/GEDI01_B_2022243142430_O21056_03_T06784_02_005_02_V002.h5\"\n",
+    "with h5py.File(fp, \"r\") as f:\n",
+    "    print(f.keys())\n",
+    "    print(f['BEAM0000'][\"rxwaveform\"][:10])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "4a6460a7-4d65-4311-901c-e5685daeb2f0",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ebb58d7e-c295-4955-a056-58fa8efc596f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "23b92856",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1804399",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
  "nbformat": 4,
  "nbformat_minor": 5
 }
diff --git a/notebooks/run-gedi-biomass.ipynb b/notebooks/run-gedi-biomass.ipynb
index 4b6438d..ca555ed 100644
--- a/notebooks/run-gedi-biomass.ipynb
+++ b/notebooks/run-gedi-biomass.ipynb
@@ -4,19 +4,12 @@
    "cell_type": "code",
    "execution_count": 1,
    "id": "25172537-794b-4135-bb28-63c0fcefbb68",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Unable to load config file from source maap.cfg \n",
-      "Unable to load config file from source ./maap.cfg \n",
-      "Unable to load config file from source /projects/maap.cfg \n"
-     ]
-    }
-   ],
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
    "source": [
+    "\n",
     "import os\n",
     "import re\n",
     "from maap.maap import MAAP\n",
@@ -29,7 +22,9 @@
    "cell_type": "code",
    "execution_count": 2,
    "id": "f176e75b-5104-478b-ade6-a84006e966b0",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import time"
@@ -39,7 +34,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "f203a6c0-852b-4645-a3a5-4b65c462f4f5",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": []
   },
@@ -53,22 +50,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 3,
    "id": "b39e76ac-d765-4b8c-baf1-fe41f3296de9",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "on file num:  100\r"
-     ]
-    }
-   ],
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
    "source": [
     "# Change to appropriate filepaths for urls\n",
-    "l1b_urls_fpath = \"/projects/biomass-gedi-conus/data/GEDI-L1B-2022-URLS.txt\"\n",
-    "l2a_urls_fpath = \"/projects/biomass-gedi-conus/data/GEDI-L2A-2022-URLS.txt\"\n",
+    "l1b_urls_fpath = \"../GEDI-L1B-2021-URLS.txt\"\n",
+    "l2a_urls_fpath = \"../GEDI-L2A-2021-URLS.txt\"\n",
+    "# l1b_urls_fpath = \"/projects/biomass-gedi-conus/data/GEDI-L1B-2022-URLS.txt\"\n",
+    "# l2a_urls_fpath = \"/projects/biomass-gedi-conus/data/GEDI-L2A-2022-URLS.txt\"\n",
     "\n",
     "with open(l1b_urls_fpath) as f:\n",
     "    l1b_fpaths = f.read().splitlines()\n",
@@ -78,7 +71,7 @@
     "# Get matching string pattern and run main.py\n",
     "jobs_list = []\n",
     "counter=1\n",
-    "for l1b_fp in l1b_fpaths[200:]:\n",
+    "for l1b_fp in l1b_fpaths:\n",
     "    # Get string pattern\n",
     "    str_pattern = re.findall(\"[0-9]{13}\", os.path.basename(l1b_fp))[0] \n",
     "    try:\n",
@@ -98,20 +91,34 @@
     "                   L2A_URL=l2a_fp)\n",
     "    jobs_list.append(job)\n",
     "    \n",
-    "    if counter%100==0:\n",
+    "    if counter%20==0:\n",
     "        print(\"on file num: \", counter, end='\\r')\n",
     "        break\n",
-    "        time.sleep(1200)\n",
+    "        # break\n",
+    "        # time.sleep(1200)\n",
     "    counter+=1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 4,
    "id": "8f0b9f73-ffb1-40b7-be0e-b31480571a4a",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "529"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "counter"
+   ]
   },
   {
    "cell_type": "code",
@@ -123,16 +130,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "id": "7fe1c6f4-37c5-4fe7-b9ff-51e17b7a5cf0",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Succeeded\n",
-      "62fd5122-a199-4ae7-bbd1-d86e11a04a7e\n"
+      "Running\n",
+      "f2d0f231-4565-4f7b-a460-5b824de4639e\n"
      ]
     }
    ],
@@ -169,23 +178,50 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 21,
    "id": "873e9ea7-d6cb-4bb9-b082-5bffb4026615",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['http://maap-ops-workspace.s3-website-us-west-2.amazonaws.com/dataset/triaged_job/arojas_biomass_gedi/master/2023/10/19/edaa25c9-99e8-4b0f-aa52-bf843a6f9ada', 's3://s3-us-west-2.amazonaws.com:80/maap-ops-workspace/dataset/triaged_job/arojas_biomass_gedi/master/2023/10/19/edaa25c9-99e8-4b0f-aa52-bf843a6f9ada', 'https://s3.console.aws.amazon.com/s3/buckets/maap-ops-workspace/dataset/triaged_job/arojas_biomass_gedi/master/2023/10/19/edaa25c9-99e8-4b0f-aa52-bf843a6f9ada/?region=us-east-1&tab=overview', '++ python /app/get_username.py\\n+ USERNAME=arojearthdata\\n+ DPS_MACHINE_TOKEN=Y6hERQKLKs0oH0h5Kgi3d-gVVyHgW_DR77YeARdzd-a3KJDE-gYldJzhB94s635KySUXi4r9WOtD6Vo_F9cEbfNI_QUhOG8N47heXHVcW1k3vEw3d0StttXYMOnQPtTzSQLAYKQwJLgbtX-R8ug1XGVeMolh97P9nHcW8awN7yjyaR7g\\n++ curl -sb -H \\'Accept: application/json\\' -H \\'Content-Type: application/json\\' -H \\'dps-token: Y6hERQKLKs0oH0h5Kgi3d-gVVyHgW_DR77YeARdzd-a3KJDE-gYldJzhB94s635KySUXi4r9WOtD6Vo_F9cEbfNI_QUhOG8N47heXHVcW1k3vEw3d0StttXYMOnQPtTzSQLAYKQwJLgbtX-R8ug1XGVeMolh97P9nHcW8awN7yjyaR7g\\' https://api.maap-project.org/api/members/arojearthdata\\n++ jq -r .session_key\\n+ export MAAP_PGT=PGT-332-1NdFr4fQXYrHffIoE6zmdrON8fQBjz05-O6ycMomc8i2b7Xt7lZggJXaQaUsQjMs8Cs-8445019b059c\\n+ MAAP_PGT=PGT-332-1NdFr4fQXYrHffIoE6zmdrON8fQBjz05-O6ycMomc8i2b7Xt7lZggJXaQaUsQjMs8Cs-8445019b059c\\n+ unset DPS_MACHINE_TOKEN\\n+ /app/biomass-gedi-conus/run.sh \\'https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2021.05.31/GEDI01_B_2021151223415_O13976_02_T00676_02_005_02_V002.h5\\n\\' https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2021.05.31/GEDI02_A_2021151223415_O13976_02_T00676_02_003_02_V002.h5\\nTraceback (most recent call last):\\n  File \"/app/biomass-gedi-conus/main.py\", line 197, in <module>\\n    out_df.to_csv(outfp, index=False)  \\n    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \"/opt/conda/envs/osgeo-env/lib/python3.11/site-packages/pandas/core/generic.py\", line 3902, in to_csv\\n    return DataFrameRenderer(formatter).to_csv(\\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \"/opt/conda/envs/osgeo-env/lib/python3.11/site-packages/pandas/io/formats/format.py\", line 1152, in to_csv\\n    csv_formatter.save()\\n  File \"/opt/conda/envs/osgeo-env/lib/python3.11/site-packages/pandas/io/formats/csvs.py\", line 247, in save\\n    with get_handle(\\n         ^^^^^^^^^^^\\n  File \"/opt/conda/envs/osgeo-env/lib/python3.11/site-packages/pandas/io/common.py\", line 739, in get_handle\\n    check_parent_directory(str(handle))\\n  File \"/opt/conda/envs/osgeo-env/lib/python3.11/site-packages/pandas/io/common.py\", line 604, in check_parent_directory\\n    raise OSError(rf\"Cannot save file into a non-existent directory: \\'{parent}\\'\")\\nOSError: Cannot save file into a non-existent directory: \\'/data/work/jobs/2023/10/19/03/14/job-arojas_biomass_gedi__master-20231019T030808.292586Z/output/output\\'\\n\\nDuring handling of the above exception, another exception occurred:\\n\\nTraceback (most recent call last):\\n  File \"/app/biomass-gedi-conus/main.py\", line 199, in <module>\\n    print(\"Couldnt save file: \", l1b_fp)\\n                                 ^^^^^^\\nNameError: name \\'l1b_fp\\' is not defined. Did you mean: \\'l1b_ds\\'?\\n+ cp _stderr.txt _alt_traceback.txt\\n']\n"
+      "Succeeded 528\n"
+     ]
+    },
+    {
+     "ename": "IndexError",
+     "evalue": "list index out of range",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[21], line 16\u001b[0m\n\u001b[1;32m     13\u001b[0m         f_list\u001b[38;5;241m.\u001b[39mappend(status)\n\u001b[1;32m     15\u001b[0m \u001b[38;5;28mprint\u001b[39m(s_list[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;28mlen\u001b[39m(s_list))\n\u001b[0;32m---> 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mr_list\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m, \u001b[38;5;28mlen\u001b[39m(r_list))\n\u001b[1;32m     17\u001b[0m \u001b[38;5;28mprint\u001b[39m(f_list[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;28mlen\u001b[39m(f_list))\n",
+      "\u001b[0;31mIndexError\u001b[0m: list index out of range"
      ]
     }
    ],
    "source": [
-    "# Retrieve results\n",
+    "# View job status\n",
+    "f_list = []\n",
+    "s_list = []\n",
+    "r_list = []\n",
+    "\n",
     "for job in jobs_list:\n",
-    "    print(job.retrieve_result())\n",
-    "    break"
+    "    status = job.retrieve_status()\n",
+    "    if status==\"Succeeded\":\n",
+    "        s_list.append(status)\n",
+    "    elif status==\"Running\":\n",
+    "        r_list.append(status)\n",
+    "    elif status==\"Failed\":\n",
+    "        f_list.append(status)\n",
+    "        \n",
+    "print(s_list[0], len(s_list))\n",
+    "print(r_list[0], len(r_list))\n",
+    "print(f_list[0], len(f_list))"
    ]
   },
   {
@@ -220,7 +256,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 12,
    "id": "9ecb7ffc-319f-40c9-8f6e-d18b6ea1c890",
    "metadata": {},
    "outputs": [],
@@ -240,17 +276,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 13,
    "id": "f3ae4e2c-fa90-41ae-8fa2-9e3fd1241157",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "169"
+       "637"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -261,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 14,
    "id": "5bb204a4-e7d4-4a83-898f-81db03d080aa",
    "metadata": {},
    "outputs": [
@@ -279,13 +315,1050 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 11,
    "id": "bb5b4efc",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running this cell now!\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.31/GEDI01_B_2022243142430_O21056_03_T06784_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.31/GEDI02_A_2022243142430_O21056_03_T06784_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.31/GEDI01_B_2022243125140_O21055_03_T02667_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.31/GEDI02_A_2022243125140_O21055_03_T02667_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.31/GEDI01_B_2022243111849_O21054_03_T05512_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.31/GEDI02_A_2022243111849_O21054_03_T05512_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.31/GEDI01_B_2022243094558_O21053_02_T01242_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.31/GEDI02_A_2022243094558_O21053_02_T01242_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.31/GEDI01_B_2022243064017_O21051_02_T02816_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.31/GEDI02_A_2022243064017_O21051_02_T02816_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.30/GEDI01_B_2022242151152_O21041_03_T05958_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.30/GEDI02_A_2022242151152_O21041_03_T05958_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.30/GEDI01_B_2022242072738_O21036_02_T10528_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.30/GEDI02_A_2022242072738_O21036_02_T10528_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.29/GEDI01_B_2022241155913_O21026_03_T05132_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.29/GEDI02_A_2022241155913_O21026_03_T05132_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.29/GEDI01_B_2022241142622_O21025_03_T03708_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.29/GEDI02_A_2022241142622_O21025_03_T03708_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.29/GEDI01_B_2022241112041_O21023_02_T10974_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.29/GEDI02_A_2022241112041_O21023_02_T10974_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.29/GEDI01_B_2022241094750_O21022_02_T01012_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.29/GEDI02_A_2022241094750_O21022_02_T01012_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.29/GEDI01_B_2022241081459_O21021_02_T03857_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.29/GEDI02_A_2022241081459_O21021_02_T03857_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.28/GEDI01_B_2022240120800_O21008_03_T08572_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.28/GEDI02_A_2022240120800_O21008_03_T08572_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.28/GEDI01_B_2022240103510_O21007_02_T00186_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.28/GEDI02_A_2022240103510_O21007_02_T00186_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.28/GEDI01_B_2022240072928_O21005_02_T10298_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.28/GEDI02_A_2022240072928_O21005_02_T10298_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.27/GEDI01_B_2022239160101_O20995_03_T07595_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.27/GEDI02_A_2022239160101_O20995_03_T07595_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.27/GEDI01_B_2022239125519_O20993_03_T10745_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.27/GEDI02_A_2022239125519_O20993_03_T10745_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.27/GEDI01_B_2022239112229_O20992_02_T07898_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.27/GEDI02_A_2022239112229_O20992_02_T07898_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.27/GEDI01_B_2022239094938_O20991_02_T06474_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.27/GEDI02_A_2022239094938_O20991_02_T06474_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.27/GEDI01_B_2022239081647_O20990_02_T02357_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.27/GEDI02_A_2022239081647_O20990_02_T02357_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.26/GEDI01_B_2022238164819_O20980_03_T11191_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.26/GEDI02_A_2022238164819_O20980_03_T11191_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.26/GEDI01_B_2022238134238_O20978_03_T09766_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.26/GEDI02_A_2022238134238_O20978_03_T09766_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.26/GEDI01_B_2022238120947_O20977_02_T09765_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.26/GEDI02_A_2022238120947_O20977_02_T09765_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.26/GEDI01_B_2022238090405_O20975_02_T06917_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.26/GEDI02_A_2022238090405_O20975_02_T06917_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.25/GEDI01_B_2022237173537_O20965_03_T10365_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.25/GEDI02_A_2022237173537_O20965_03_T10365_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.25/GEDI01_B_2022237142955_O20963_03_T01978_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.08.25/GEDI02_A_2022237142955_O20963_03_T01978_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.08.25/GEDI01_B_2022237095123_O20960_02_T03398_02_005_02_V002.h5\n",
+      "\n",
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+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.07.06/GEDI01_B_2022187091133_O20184_03_T01304_02_005_03_V002.h5\n",
+      "\n",
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+      "\n",
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+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.07.06/GEDI02_A_2022187060551_O20182_02_T09993_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.07.04/GEDI01_B_2022185091308_O20153_02_T08342_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.07.04/GEDI02_A_2022185091308_O20153_02_T08342_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.07.04/GEDI01_B_2022185060726_O20151_02_T04071_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.07.04/GEDI02_A_2022185060726_O20151_02_T04071_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.07.03/GEDI01_B_2022184065438_O20136_02_T08937_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.07.03/GEDI02_A_2022184065438_O20136_02_T08937_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.07.02/GEDI01_B_2022183104732_O20123_03_T00998_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.07.02/GEDI02_A_2022183104732_O20123_03_T00998_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.07.02/GEDI01_B_2022183091441_O20122_02_T03843_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.07.02/GEDI02_A_2022183091441_O20122_02_T03843_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.07.01/GEDI01_B_2022182130735_O20109_03_T04442_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.07.01/GEDI02_A_2022182130735_O20109_03_T04442_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.30/GEDI01_B_2022181135445_O20094_03_T07885_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.30/GEDI02_A_2022181135445_O20094_03_T07885_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.30/GEDI01_B_2022181122154_O20093_03_T06461_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.30/GEDI02_A_2022181122154_O20093_03_T06461_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.30/GEDI01_B_2022181104902_O20092_02_T06460_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.30/GEDI02_A_2022181104902_O20092_02_T06460_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.30/GEDI01_B_2022181091611_O20091_02_T10881_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.30/GEDI02_A_2022181091611_O20091_02_T10881_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.30/GEDI01_B_2022181074320_O20090_02_T08034_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.30/GEDI02_A_2022181074320_O20090_02_T08034_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.29/GEDI01_B_2022180113612_O20077_02_T01518_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.29/GEDI02_A_2022180113612_O20077_02_T01518_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.28/GEDI01_B_2022179170155_O20065_03_T07657_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.28/GEDI02_A_2022179170155_O20065_03_T07657_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.26/GEDI01_B_2022177135735_O20032_03_T07578_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.26/GEDI02_A_2022177135735_O20032_03_T07578_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.22/GEDI01_B_2022173183918_O19973_03_T04275_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.22/GEDI02_A_2022173183918_O19973_03_T04275_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.21/GEDI01_B_2022172192635_O19958_03_T04872_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.21/GEDI02_A_2022172192635_O19958_03_T04872_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.21/GEDI01_B_2022172175343_O19957_03_T00602_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.21/GEDI02_A_2022172175343_O19957_03_T00602_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.21/GEDI01_B_2022172131509_O19954_02_T07867_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.21/GEDI02_A_2022172131509_O19954_02_T07867_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.19/GEDI01_B_2022170114349_O19922_02_T02097_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.19/GEDI02_A_2022170114349_O19922_02_T02097_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.18/GEDI01_B_2022169153638_O19909_02_T06659_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.18/GEDI02_A_2022169153638_O19909_02_T06659_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.16/GEDI01_B_2022167171058_O19879_03_T06736_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.16/GEDI02_A_2022167171058_O19879_03_T06736_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.16/GEDI01_B_2022167123226_O19876_02_T06733_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.16/GEDI02_A_2022167123226_O19876_02_T06733_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.15/GEDI01_B_2022166210402_O19866_03_T04336_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.15/GEDI02_A_2022166210402_O19866_03_T04336_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.15/GEDI01_B_2022166131950_O19861_02_T07483_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.15/GEDI02_A_2022166131950_O19861_02_T07483_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.13/GEDI01_B_2022164223847_O19836_03_T02684_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.13/GEDI02_A_2022164223847_O19836_03_T02684_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.13/GEDI01_B_2022164193306_O19834_03_T01259_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.13/GEDI02_A_2022164193306_O19834_03_T01259_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.11/GEDI01_B_2022162193457_O19803_03_T05451_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.11/GEDI02_A_2022162193457_O19803_03_T05451_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.10/GEDI01_B_2022161202216_O19788_03_T05895_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.10/GEDI02_A_2022161202216_O19788_03_T05895_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.10/GEDI01_B_2022161184925_O19787_02_T03048_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.10/GEDI02_A_2022161184925_O19787_02_T03048_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.10/GEDI01_B_2022161171634_O19786_02_T10315_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.10/GEDI02_A_2022161171634_O19786_02_T10315_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.09/GEDI01_B_2022160224226_O19774_03_T07916_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.09/GEDI02_A_2022160224226_O19774_03_T07916_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.09/GEDI01_B_2022160193644_O19772_03_T09337_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.09/GEDI02_A_2022160193644_O19772_03_T09337_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.08/GEDI01_B_2022159171822_O19755_02_T05816_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.08/GEDI02_A_2022159171822_O19755_02_T05816_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.08/GEDI01_B_2022159154531_O19754_02_T04392_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.08/GEDI02_A_2022159154531_O19754_02_T04392_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.08/GEDI01_B_2022159001702_O19744_03_T08957_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.07/GEDI01_B_2022158224411_O19743_03_T10532_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.07/GEDI01_B_2022158145957_O19738_02_T03565_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.07/GEDI02_A_2022158145957_O19738_02_T03565_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.06/GEDI01_B_2022157001845_O19713_03_T07457_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.06/GEDI02_A_2022157001845_O19713_03_T07457_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.05/GEDI01_B_2022156211303_O19711_03_T08878_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.05/GEDI02_A_2022156211303_O19711_03_T08878_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.03/GEDI01_B_2022154180859_O19678_02_T02954_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.03/GEDI02_A_2022154180859_O19678_02_T02954_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.03/GEDI01_B_2022154163608_O19677_02_T01836_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.03/GEDI02_A_2022154163608_O19677_02_T01836_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.06.01/GEDI01_B_2022152194326_O19648_02_T04301_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.06.01/GEDI02_A_2022152194326_O19648_02_T04301_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.31/GEDI01_B_2022151032913_O19622_03_T09615_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.31/GEDI02_A_2022151032913_O19622_03_T09615_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.30/GEDI01_B_2022150211749_O19618_02_T11340_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.30/GEDI02_A_2022150211749_O19618_02_T11340_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.30/GEDI01_B_2022150194457_O19617_02_T08493_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.30/GEDI02_A_2022150194457_O19617_02_T08493_02_003_03_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.30/GEDI01_B_2022150041625_O19607_03_T08789_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.30/GEDI01_B_2022150024333_O19606_03_T04672_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.30/GEDI01_B_2022150011042_O19605_03_T00402_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.29/GEDI01_B_2022149233751_O19604_02_T03247_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.28/GEDI01_B_2022148225209_O19588_02_T11111_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.28/GEDI02_A_2022148225209_O19588_02_T11111_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.28/GEDI01_B_2022148011208_O19574_03_T01748_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.28/GEDI02_A_2022148011208_O19574_03_T01748_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.27/GEDI01_B_2022147050459_O19561_03_T06463_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.27/GEDI02_A_2022147050459_O19561_03_T06463_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.27/GEDI01_B_2022147015916_O19559_03_T10883_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.27/GEDI02_A_2022147015916_O19559_03_T10883_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.26/GEDI01_B_2022146212041_O19556_02_T09457_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.26/GEDI02_A_2022146212041_O19556_02_T09457_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.26/GEDI01_B_2022146055205_O19546_03_T04214_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.25/GEDI01_B_2022145020034_O19528_03_T07807_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.25/GEDI02_A_2022145020034_O19528_03_T07807_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.24/GEDI01_B_2022144225451_O19526_02_T05112_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.24/GEDI01_B_2022144212159_O19525_02_T00842_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.24/GEDI01_B_2022144011446_O19512_02_T04287_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.23/GEDI01_B_2022143220903_O19510_02_T02862_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.22/GEDI01_B_2022142225605_O19495_02_T09151_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.22/GEDI02_A_2022142225605_O19495_02_T09151_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.22/GEDI01_B_2022142212313_O19494_02_T05034_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.22/GEDI01_B_2022142055433_O19484_03_T11175_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.22/GEDI02_A_2022142055433_O19484_03_T11175_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.21/GEDI01_B_2022141234306_O19480_02_T11324_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.21/GEDI02_A_2022141234306_O19480_02_T11324_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.19/GEDI01_B_2022139064237_O19438_03_T04580_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.19/GEDI02_A_2022139064237_O19438_03_T04580_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.18/GEDI01_B_2022138090225_O19424_03_T05178_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.18/GEDI01_B_2022138042348_O19421_03_T11020_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.17/GEDI01_B_2022137064335_O19407_03_T10195_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.17/GEDI01_B_2022137051042_O19406_03_T07348_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.17/GEDI01_B_2022137033750_O19405_02_T03078_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.17/GEDI01_B_2022137020458_O19404_02_T01807_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.17/GEDI01_B_2022137003205_O19403_02_T10344_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.16/GEDI01_B_2022136090323_O19393_03_T05101_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.16/GEDI02_A_2022136090323_O19393_03_T05101_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.16/GEDI01_B_2022136025153_O19389_02_T08096_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.16/GEDI01_B_2022136011900_O19388_02_T06672_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.15/GEDI01_B_2022135234608_O19387_02_T09517_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.15/GEDI01_B_2022135064429_O19376_03_T08542_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.14/GEDI01_B_2022134103717_O19363_03_T09141_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.14/GEDI01_B_2022134073137_O19361_03_T07869_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.14/GEDI01_B_2022134055846_O19360_03_T09291_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.13/GEDI01_B_2022133081902_O19346_03_T08466_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.13/GEDI01_B_2022133064612_O19345_03_T07042_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.13/GEDI01_B_2022133051321_O19344_02_T04195_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.13/GEDI01_B_2022133034031_O19343_02_T01501_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.13/GEDI01_B_2022133020741_O19342_02_T05769_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.12/GEDI01_B_2022132060046_O19329_02_T07791_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.12/GEDI01_B_2022132042756_O19328_02_T09213_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.12/GEDI01_B_2022132025505_O19327_02_T10788_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.12/GEDI01_B_2022132012215_O19326_02_T06365_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.11/GEDI01_B_2022131082100_O19315_03_T09659_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.11/GEDI02_A_2022131082100_O19315_03_T09659_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.11/GEDI01_B_2022131064810_O19314_02_T11234_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.11/GEDI02_A_2022131064810_O19314_02_T11234_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.11/GEDI01_B_2022131034229_O19312_02_T08233_02_005_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.10/GEDI01_B_2022130090823_O19300_03_T05987_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.10/GEDI01_B_2022130073533_O19299_03_T05986_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.10/GEDI02_A_2022130073533_O19299_03_T05986_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.10/GEDI01_B_2022130060242_O19298_02_T10407_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.10/GEDI02_A_2022130060242_O19298_02_T10407_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.10/GEDI01_B_2022130025702_O19296_02_T06136_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.09/GEDI01_B_2022129095548_O19285_03_T06584_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.09/GEDI02_A_2022129095548_O19285_03_T06584_02_003_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.09/GEDI01_B_2022129065007_O19283_02_T08005_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.09/GEDI02_A_2022129065007_O19283_02_T08005_02_003_03_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.09/GEDI01_B_2022129034426_O19281_02_T02464_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.07/GEDI01_B_2022127130321_O19256_03_T04780_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.07/GEDI02_A_2022127130321_O19256_03_T04780_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.07/GEDI01_B_2022127113030_O19255_03_T09048_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.07/GEDI02_A_2022127113030_O19255_03_T09048_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.07/GEDI01_B_2022127082449_O19253_02_T04930_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.07/GEDI02_A_2022127082449_O19253_02_T04930_02_003_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.06/GEDI01_B_2022126121750_O19240_03_T01107_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.06/GEDI02_A_2022126121750_O19240_03_T01107_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.04/GEDI01_B_2022124121938_O19209_03_T09568_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.04/GEDI01_B_2022124104647_O19208_03_T10990_02_005_03_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.04/GEDI02_A_2022124104647_O19208_03_T10990_02_003_03_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.03/GEDI01_B_2022123082823_O19191_02_T00201_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.03/GEDI01_B_2022123065532_O19190_02_T03046_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.03/GEDI02_A_2022123065532_O19190_02_T03046_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.03/GEDI01_B_2022123052241_O19189_02_T04621_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.02/GEDI01_B_2022122074249_O19175_02_T09335_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.02/GEDI02_A_2022122074249_O19175_02_T09335_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.01/GEDI01_B_2022121144129_O19164_03_T04091_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.01/GEDI01_B_2022121130838_O19163_03_T02820_02_005_02_V002.h5\n",
+      "\n",
+      "https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_A.002/2022.05.01/GEDI02_A_2022121130838_O19163_03_T02820_02_003_02_V002.h5\n",
+      "\n",
+      "No matching L2 file! https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI01_B.002/2022.05.01/GEDI01_B_2022121113547_O19162_03_T05665_02_005_02_V002.h5\n",
+      "\n",
+      "Done\n"
+     ]
+    }
+   ],
    "source": [
-    "l1b_urls_fpath = \"../GEDI-L1B-2021-URLS.txt\"\n",
-    "l2a_urls_fpath = \"../GEDI-L2A-2021-URLS.txt\"\n",
+    "\n",
+    "# print(\"Waiting some time to run this cell...\")\n",
+    "# time.sleep(3600)\n",
+    "print(\"Running this cell now!\")\n",
+    "# Get all CSV files\n",
+    "indir = \"/projects/my-private-bucket/dps_output/arojas_biomass_gedi/master/GEDI-biomass-2022\"\n",
+    "csv_list = []\n",
+    "for subdir, dirs, files in os.walk(indir):\n",
+    "    for file in files:\n",
+    "        if file.endswith(\".csv\"):\n",
+    "            # fp = os.path.join(subdir, file)\n",
+    "            # print(fp)\n",
+    "            # csv_list.append(fp)\n",
+    "            csv_list.append(file)\n",
+    "\n",
+    "\n",
+    "# Change to appropriate filepaths for urls\n",
+    "l1b_urls_fpath = \"/projects/biomass-gedi-conus/data/GEDI-L1B-2022-URLS.txt\"\n",
+    "l2a_urls_fpath = \"/projects/biomass-gedi-conus/data/GEDI-L2A-2022-URLS.txt\"\n",
     "\n",
     "with open(l1b_urls_fpath) as f:\n",
     "    l1b_fpaths = f.readlines()\n",
@@ -309,9 +1382,9 @@
     "    if any(date_str in x for x in csv_list):\n",
     "        continue\n",
     "        \n",
-    "    # print(l1b_fp)\n",
-    "    # print(l2a_fp)\n",
-    "    job = maap.submitJob(identifier=\"single_file_test_run\",\n",
+    "    print(l1b_fp)\n",
+    "    print(l2a_fp)\n",
+    "    job = maap.submitJob(identifier=\"GEDI-biomass-2022\",\n",
     "                   algo_id=\"arojas_biomass_gedi\",\n",
     "                   version=\"master\",\n",
     "                   username=\"arojearthdata\",\n",
@@ -320,10 +1393,12 @@
     "                   L2A_URL=l2a_fp)\n",
     "    jobs_list.append(job)\n",
     "    \n",
-    "    if counter%10==0:\n",
+    "    if counter%100==0:\n",
     "        print(\"on file num: \", counter, end='\\r')\n",
-    "        time.sleep(600)\n",
-    "    counter+=1"
+    "        time.sleep(1200)\n",
+    "    counter+=1\n",
+    "\n",
+    "print('Done')"
    ]
   },
   {
@@ -393,13 +1468,29 @@
    "metadata": {},
    "outputs": [],
    "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "23b92856",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1804399",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "osgeo-env",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "osgeo-env"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -411,7 +1502,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,
diff --git a/pgap.py b/pgap.py
index a6b72fc..f91dfbd 100644
--- a/pgap.py
+++ b/pgap.py
@@ -1,9 +1,9 @@
 # Import libraries
 import numpy as np
 from scipy.spatial import KDTree
-from scipy import ndimage
 import warnings
 warnings.filterwarnings("ignore")
+from scipy import ndimage
 
 # --------------------------DATA STRUCTURE FOR PGAP PROCESSED WAVEFORM-------------------------- #
 
@@ -28,7 +28,7 @@ class GapDS:
 
 
     def __init__(self, wf, ht, rh, calc_refl_vg = False,
-        utm_x=None,utm_y=None,cval=2,**kwargs):
+        utm_x=None,utm_y=None,cval=2, **kwargs):
 
             
         """
@@ -313,7 +313,7 @@ def wf_smooth(wfarr,sigmean=None,sd=5):
                 sigmean = np.array(sigmean) 
             if wfarr.ndim != sigmean.ndim:
                 sigmean = sigmean.reshape(-1,1)
-            wfarr = wfarr - sigmean
+            wfarr = wfarr - sigmean # 2
     smoothwfs = ndimage.gaussian_filter1d(wfarr,sd)
 
     # Return the smoothed wf
diff --git a/run.sh b/run.sh
index 047fbb5..4a8471e 100644
--- a/run.sh
+++ b/run.sh
@@ -4,11 +4,11 @@
 basedir=$( cd "$(dirname "$0")" ; pwd -P)
 
 # Activate environment that was created in the builed-env.sh file
-source activate osgeo-env
+# source activate osgeo-env
 
 # Create output dir
 # OUTPUTDIR="${PWD}/output"
-mkdir -p output
+# mkdir -p output
 # INPUT_FILES
 L1B_URL=$1
 L2A_URL=$2 # e.g. GEDI01_B or GEDI02_A
-- 
GitLab