Tools for Carbon Emissions Estimation and Mapping in East Africa
This guide was developed to accompany the materials provided by Ned Horning for the SERVIR AST funded project “Forest carbon assessment for REDD+ in East Africa SERVIR region,” a collaboration of the Woods Hole Research Center, the American Museum of Natural History, and the Regional Centre for Mapping of Resources for Development (RCMRD).
The main purpose of the training is to learn how to use open source scripting software, R, to estimate carbon emissions from deforestation using reference geospatial datasets, such as multiyear land cover land use maps, and aboveground biomass data. The materials include several scripts, illustrating the capabilities of R for geospatial analysis such as vector and raster image processing, and land cover classifications using the Random Forest method. The materials also include the scripts used to perform land use land cover change analysis to identify deforestation, calculate accuracy assessments and validate land cover maps, and use the generated outputs to calculate carbon emissions. Reference data sets are included for the user to become familiar with each step before calculating carbon emissions for their study area.
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Download Guide to Training Materials (PDF) |
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Download resources described in the PDF (ZIP) |