diff --git a/Hunka_2024_NSD/README.txt b/Hunka_2024_NSD/README.txt
index 7b18aa89b1a8a34a100cf0e35f15baf8533c67e7..7a79f15b0aa7ea95c602bd8dcaa04db00b9793e0 100644
--- a/Hunka_2024_NSD/README.txt
+++ b/Hunka_2024_NSD/README.txt
@@ -7,14 +7,19 @@ nhunka@umd.edu
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 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. 
 
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