DSFAS: CROPVISTA: BUILDING AGRICULTURAL RESILIENCE WITH SATELLITE CONSTELLATION PRODUCTS FOR U.S. FARMERS

The major goal of this project is to prototype a new field-scale agriculture monitoring system using satellite constellation products comprising major crop production areas in the Midwest and Southern U.S. states (17 states).The objectives of this project are:Objective 1: Implement a crop field boundary detection from enhanced Sentinel imagery using deep learningObjective 2:Extract field-scale crop phenology time series from NASA harmonized Landsat-Sentinel-2 (HLS) imagesObjective 3:Validate the crop phenology and derived metrics in crop systems at MSU farmsObjective4: Derive data insights from crop phenology and meteorological variabilityObjective5: Provide a new web-based portal with field-scale crop phenology and meteorological conditions for agricultural management