Abstract: Systems and methods are described to systems and methods for training a machine learning model to categorize each pixel of an input overhead image using received overhead images, and using a trained machine learning model to determine, for each pixel of input overhead images, to which land use or land cover mapping category each pixel of each overhead image belongs. The provided systems and methods may generate a map of a geographic area associated with the plurality of overhead images based on the plurality of overhead images and on the determined categories.
Type:
Grant
Filed:
June 23, 2022
Date of Patent:
February 17, 2026
Assignee:
Impact Observatory, Inc.
Inventors:
Steven P. Brumby, Caitlin Kontgis, Krishna Karra