diff --git a/Hunka_2024_NSD/README.txt b/Hunka_2024_NSD/README.txt index 7a79f15b0aa7ea95c602bd8dcaa04db00b9793e0..7c9243a93c357ea2a25ea73b6f615a30df5f591c 100644 --- a/Hunka_2024_NSD/README.txt +++ b/Hunka_2024_NSD/README.txt @@ -10,7 +10,7 @@ The following process is set up for the classification of the world's forests in 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) +2. Layers are spatially 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.