Forest Health Detection Monitoring

Machine learning models are used to (1) upscale training data, using Sentinel-2, Landsat, MODIS, and lidar imagery, that was collected from both the field and high-resolution imagery to map and monitor stages of forest mortality and defoliation across the United States, and (2) to post-process raster outputs to vector polygons.