From d23ba9d995873c5efddd306bf84fe1331b11edac Mon Sep 17 00:00:00 2001 From: nehajo88 <nehajo88@gmail.com> Date: Sun, 18 Feb 2024 10:21:30 -0800 Subject: [PATCH] Code for Nature Scientific Data --- Hunka_2024_NSD/README.txt | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/Hunka_2024_NSD/README.txt b/Hunka_2024_NSD/README.txt index 7b18aa8..7a79f15 100644 --- a/Hunka_2024_NSD/README.txt +++ b/Hunka_2024_NSD/README.txt @@ -7,14 +7,19 @@ nhunka@umd.edu ##################################################################################################### The following process is set up for the classification of the world's forests into primary, young secondary and old -secondary forests +secondary forests, as per the IPCC 2019 Guidelines Table 4.7 for natural forests. 1. Various EO-derived and spatial datasets are downloaded from source (wget or curl commands) 2. Layers are sptially resampled and aligned to an approx. 30 m grid (gdal commands) 3. A Boolean set of conditions is applied to layers to classify into forest statuses/conditions (AWS DPS algorithm) -All steps are reproducible for batch processing on the AWS DPS cloud-computing system that supports the NASA MAAP. For ease of use, step 1 and step 2 are broken down per 10 x 10 degree tile and described in the file NOTES_data_download_and_preprocessing.ipynb such that they are implementable on local machines using R. +All steps are reproducible for batch processing on the AWS DPS cloud-computing system that supports the NASA MAAP. +For ease of use, step 1 and step 2 are broken down per 10 x 10 degree tile and described in the file +NOTES_data_download_and_preprocessing.ipynb such that they are implementable on local machines using R. -Step 3 is provided as a DPS algorithm, which means that every 10 x 10 degree tile across the globe runs in parallel on AWS. For ease of understanding, it is recommended to start with the file FOREST_Classification/IPCC_GEDI_Table4.7.py. The Boolean combination used for the global forest classification is contained entirely within this file. It can be run from the command like and executed for a single tile if needed. +Step 3 is provided as a DPS algorithm, which means that every 10 x 10 degree tile across the globe runs in parallel +on AWS. For ease of understanding, it is recommended to start with the file FOREST_Classification/IPCC_GEDI_Table4.7.py. +The Boolean combination used for the global forest classification is contained entirely within this file. It can be +run from the command like and executed for a single tile if needed. ##################################################################################################### \ No newline at end of file -- GitLab