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Fuelcast is a map-based resource that leverages Google Earth Engine and Tensorflow to process near real-time weather and remote sensing data, providing in season forecast estimates of the magnitude and timing of annual production and fuel across coterminous U.S. rangelands. Users can access several cutting-edge information products, with detailed reports in development. The tool provides free, near real-time information to rangeland managers, fire specialists, and producers to act on in a timely manner. See CCAST Case Study about the use of Grass Cast here: https://arcg.is/1zaaz81 and webinar about the project here: https://youtu.be/nIGerxDY4ms?t=974