NASA Acres Scientists are Developing Methods to Delineate High Resolution Field Boundaries

NASA Acres scientists, David Roy and Lin Yan of Michigan State University, are taking a computer-vision approach to extract crop field objects from Landsat satellite time series wall-to-wall in the Conterminous United States (CONUS) annually for 2008-2026, with core processing undertaken in Amazon Web Services (AWS) where the USGS Collection 2 Landsat Analysis Ready Data (ARD) are stored, and the results will be validated using Google-Earth and NASA high spatial-resolution imagery. In areas where fields are too small to be extracted reliably from Landsat 30m images, the commercial high-resolution images will be considered.