GEE code for pixel-based land cover classification with Random Forest (RF) algorithm, and for NDVI time series visualization.
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Updated
Jan 16, 2024 - JavaScript
GEE code for pixel-based land cover classification with Random Forest (RF) algorithm, and for NDVI time series visualization.
The Supervised Land Cover Classification (SLaCC) tool is a Google Earth Engine script created by the Summer 2019 Southern Maine Health and Air Quality Team. It uses NASA Earth observations, the National Land Cover Database, land cover classification training data, and a shapefile of Cumberland County, Maine, USA. The goal of the project was to e…
Future Urban-Wildfire Risk Mapping (FUWRM), pronounced as "form". This repository holds the programming script files and some of the binaries that represent the predictive risk maps for wildfires in urban regions of Southern Victoria (AUS) and Northern California (USA) in 2030 and 2040.
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