Above Anvil Cirrus Plumes are a phenomena that often precede severe weather such as tornadoes, thunderstorms, hail, and high winds.  We use Machine Learning to automatically identify AACPs in NASA’s Geostationary Operational Environmental Satellite (GOES)-16 imagery supplemented by radar information. This finds extensive applications in comprehensive automated early warning systems, specifically in areas with very limited number of weather stations & localized sensors.

 In remote areas, detecting pests and diseases early is both a challenge and also a necessity. Early detection is challenging with limited resources but is crucial because remote areas have logistical limitations with regard to accessing remedies. Predictive insights are thus very useful. This necessitates both a locally accurate identification system as well as spread prediction to allow for use of sustainable bio-remedies.