Forecasting Wildfire Behavior: Earth Observation and GIS
Advances in GIS, remote sensing, and machine learning are leveraging land and weather data to improve fire prediction models.
Monitoring Vegetation Regrowth After Fire With Remote Sensing
Synthetic-aperture radar (SAR) is being used to map post-fire vegetation recovery.
Using GIS to Monitor the West Coast Wildfires
With fires raging in California, Oregon, and Washington, scientists, activists, geospatial companies, and others are using GIS and spatial data to better inform and protect communities.
Real-time Fire Mapping and Satellite Data
New satellites and improved image processing methods are better enabling the ability to provide real-time and near real-time mapping of wildfires.
Fire Danger Reanalysis Dataset
Researchers have made 38-years worth of global fire danger reanalysis available as an open dataset.