This dataset is designed to capture landscape changes brought on by a severe tree mortality episode in California's southern Sierra Nevada range, by mapping multiple land cover types in a continuous way at annual time-steps throughout the mortality event. By mapping multiple land cover types we can see not only...
The dataset is a layer file created in ArcGIS Pro 2.2. The dataset includes digitized outlines of the seaward edges of five Oregon salt marshes (Nehalem, Netarts, Salmon, Alsea, and Coquille). These are roughly decadal from 1939 to 2018 and were hand-digitized using historical aerial photography (1939 to the late...
These high resolution (5x5-meter pixel) categorical models of land cover were created by training random forest classification models on
RapidEye (Planet Labs Inc.) satellite spectral data for each year and then predicting those models across the landscape. Training data were created by visually interpreting random plots over high resolution NAIP...
