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...
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...