Geological SurveyIssuing agency·Nationwide·via the Grants.gov Search APIThe USGS is offering a funding opportunity to a CESU partner for research in improving accuracy assessment and area estimation for use in annual remote-sensing based land-cover monitoring.
The Earth Resources Observation and Science (EROS) Center is a remotely sensed data management, systems development, and science center for the U.S. Geological Survey's (USGS) National Land Imaging Program. The USGS EROS has long been at the forefront of land cover research at local to global geographies. The USGS is modernizing its land cover monitoring capabilities and is enabling artificial intelligence, machine learning, and modeling for the detection of land change and the characterization of land cover at any time in the Landsat satellite record. The USGS is offering a funding opportunity to a CESU partner for research centered on improvements in land cover research by focusing on investigating and implementing state-of-the-art sampling and statistical strategies for accuracy assessment and area estimation, and the impacts of reference data uncertainties. This will be critical for characterizing the validity of USGS land cover change products such as the Annual National Land Cover Database (NLCD) which is used by other federal agencies, agencies of State, tribal, and local governments, institutes of higher education, and the private sector.
The research will focus on improvements in land cover research by investigating and implementing state-of-the-art sampling and statistical strategies for accuracy assessment and area estimation, and examining the impacts of reference data uncertainties. This work will be critical for characterizing the validity of USGS land cover change products such as the Annual National Land Cover Database (NLCD), which is used by federal agencies, State, tribal, and local governments, institutes of higher education, and the private sector. The work supports the USGS's modernization of land cover monitoring capabilities by enabling artificial intelligence, machine learning, and modeling for the detection of land change and the characterization of land cover at any time in the Landsat satellite record.
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"25""Others (see text field entitled \"Additional Information on Eligibility\" for clarification)""CA""Cooperative Agreement""ST""Science and Technology and other Research and Development""USGS""DOI-USGS1""DOI-USGS1""Geological Survey""DOI""DOI""DOI""DOI""Department of the Interior""DOI"{"id":355490,"fileName":"G27AS00040.docx","mimeType":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","createdDate":"Nov 02, 2026 08:09:21 AM EST","fileLobSize":148088,"opportunityId":364192,"fileDescription":"G27AS00040.docx","synopsisAttFolderId":81528}{"id":355491,"fileName":"ATTACHMENT A - Biographical-sketch-common-form-doi-omb-3145-0279 3..pdf","mimeType":"application/pdf","createdDate":"Nov 02, 2026 08:09:30 AM EST","fileLobSize":221571,"opportunityId":364192,"fileDescription":"ATTACHMENT A - Biographical-sketch-common-form-doi-omb-3145-0279 3..pdf","synopsisAttFolderId":81529}{"id":355492,"fileName":"ATTACHMENT B - Common-form current-and-pending-support-doi-omb-3145-0279 3..pdf","mimeType":"application/pdf","createdDate":"Nov 02, 2026 08:09:39 AM EST","fileLobSize":204142,"opportunityId":364192,"fileDescription":"ATTACHMENT B - Common-form current-and-pending-support-doi-omb-3145-0279 3..pdf","synopsisAttFolderId":81529}{"id":355493,"fileName":"ATTACHMENT C - Project Abstract Summary Requirement..docx","mimeType":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","createdDate":"Nov 02, 2026 08:09:47 AM EST","fileLobSize":13650,"opportunityId":364192,"fileDescription":"ATTACHMENT C - Project Abstract Summary Requirement..docx","synopsisAttFolderId":81529}{"id":355494,"fileName":"ATTACHMENT D - Geospatial Data Instructions..docx","mimeType":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","createdDate":"Nov 02, 2026 08:09:55 AM EST","fileLobSize":15008,"opportunityId":364192,"fileDescription":"ATTACHMENT D - Geospatial Data Instructions..docx","synopsisAttFolderId":81529}Most public work asks for the two below, and the solicitation documents are where it’s stated. One prequalification covers both — on this bid and the next.
A surety’s written statement that it expects to bond you up to a stated amount, subject to final underwriting. It’s what an agency asks to see before they take your bid seriously.
Source: Grants.gov (opportunity 364192), retrieved via the Grants.gov Search API. View the official posting, and always confirm requirements and deadlines with the issuing agency.