Description
The U.S. Geological Survey (USGS) is offering a funding opportunity to a Cooperative Ecosystem Studies Unit (CESU) partner for research focused on advancing GeoAI-enabled automated landform mapping, expansion of the Landform Reference Ontology using knowledge graphs, and improving Geographic Names Information System (GNIS) summit feature positional accuracy using lidar-derived elevation datasets. The project aims to advance federal scientific capability in geospatial analysis, artificial intelligence applications, and knowledge graph technologies. The USGS requires that all applications for financial assistance be posted through Grants.gov. The award instrument for this project is a cooperative agreement, and it is anticipated that one award will be made for a period of one year. The total estimated funding for this project is $29,994.
Key aspects of the project include:
* Advancing GeoAI-enabled mapping of specific landforms beyond summit pilot category using image segmentation and region-growing approaches
* Expanding the Landform Reference Ontology and integrating knowledge graph approaches for semantic landform representation and multimodal querying of The National Map
* Improving GNIS summit feature positional and elevation accuracy using lidar point cloud processing and Digital Elevation Model-based snapping methodologies
* Aligning with Executive Orders 13817, 13859, 14172, 14177, 14179, 14181, 14241, 14303, and 14308.