The following process is set up for the classification of the world's forests into primary, young secondary and old
secondary forests, as per the IPCC 2019 Guidelines Table 4.7 for natural forests.
secondary forests, as per the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories Volume 4 Agriculture, Forestry and Other Land Use, Table 4.7 for natural forests.
1. Various EO-derived and spatial datasets are downloaded from source (wget or curl commands)
2. Layers are spatially resampled and aligned to an approx. 30 m grid (GDAL commands)
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@@ -15,7 +15,7 @@ secondary forests, as per the IPCC 2019 Guidelines Table 4.7 for natural forests
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.
NOTES_data_download_and_preprocessing.ipynb such that they are implementable on local machines using R / Python.
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.