Predicting peat collapse in
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The main goal of this project will be to create a remote sensing monitoring framework by using available radar, lidar, and optical imagery to predict rapid changes or collapse of the blue carbon landscapes.
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Carbon and biomass modeling in African mangrovesWe will develop a present day mangrove extent map using Landsat, SAR (ALOS-2) and Very high Resolution commercial optical data then adapt global forest change mapping and biomass algorithms to include mangrove forests and develop a timeseries of mangrove change in Mozambique, Tanzania, and Gabon from 1990 to the present day.
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