Predicting peat collapse in
coastal wetlands

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.

Carbon and biomass modeling in African mangroves

We 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.

Forest assessments in Bangladesh

Bangladesh Forest Department is developing a National Forest Monitoring System (NFMS) with assistance from US partners including the US Forest Service and NASA.  The NFMS is designed to be a sustainable system combining cutting edge and practical remote sensing technologies with effective and accurate field inventory activities.