Geospatial AI - Enabled Automated Landform Mapping and Semantic Characterization Service

The United States Geological Survey is seeking a vendor to provide geospatial artificial intelligence enabled automated landform mapping and semantic characterization services. The agency is trying to advance automated mapping of specific landforms beyond the summit pilot category using image segmentation and region-growing approaches. This research initiative aims to expand the Landform Reference Ontology using knowledge graphs and improve the positional and elevation accuracy of Geographic Names Information System summit features. The scope of work covers processing lidar point clouds and utilizing digital elevation model-based snapping methodologies to refine summit data. The selected contractor must also integrate knowledge graph approaches to enable semantic landform representation and multimodal querying of the national map. All performance of the work will take place offsite. Only organizations based in the United States are eligible to bid on this opportunity. Bidders must submit their proposals digitally via email or through the designated online portal. The agency has not disclosed a specific budget and is looking for cost proposals from interested parties. No key dates or specific evaluation criteria are provided in the solicitation details.