USGS seeks a partner for research on GeoAI landform mapping, expanding landform ontology, and improving summit location accuracy with lidar in the Chesapeake Watershed.
Funder: Geological Survey
Due Dates: July 20, 2026 (original deadline) | July 24, 2026 (current deadline)
Funding Amounts: Up to $29,994 total for a 1-year project; one award anticipated.
Summary: Supports GeoAI-enabled automated landform mapping, ontology expansion, and GNIS summit feature improvement using lidar data by a Chesapeake Watershed CESU partner.
Key Information: Only current partners of the Chesapeake Watershed CESU are eligible.
The U.S. Geological Survey (USGS) is offering a cooperative agreement to a partner of the Chesapeake Watershed Cooperative Ecosystem Studies Unit (CESU) for research focused on advancing geospatial artificial intelligence (GeoAI) for automated landform mapping. The project will expand the Landform Reference Ontology using knowledge graphs and improve the positional accuracy of Geographic Names Information System (GNIS) summit features through lidar-derived elevation datasets. The initiative aims to enhance national geospatial datasets, support federal priorities in AI and geospatial sciences, and contribute to improved hazard response, mineral resource assessment, and scientific integrity.