Simpler Grants.gov #G27AS00040

USGS cooperative agreement for land-cover accuracy assessment and area estimation research

The U.S. Geological Survey is funding collaborative research to improve the reliability of annual land-cover monitoring and assessment. - Government buyer: U.S. Department of the Interior, U.S. Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center, National Land Imaging Program. - Opportunity: One cooperative agreement for a participating partner in the Great Lakes Northern Forest Cooperative Ecosystem Studies Unit (CESU); substantial USGS collaboration is expected. - Research services: Improve sampling and statistical methods for accuracy assessment and area estimation of annual remote-sensing land-cover products, including the Annual National Land Cover Database (NLCD). - Examine sample restratification and reallocation, and stratification approaches that support multiple accuracy metrics. - Quantify interpreter variability and account for reference-data uncertainty. - Develop and apply sampling and analysis protocols for accuracy assessment in Alaska and Hawaii. - Share findings through presentations, journal publications, and communications with federal partners. - Funding: Estimated total of $135,000; about $45,000 is estimated for the first budget year. Later-year funding depends on satisfactory progress and fund availability. No cost sharing is required. - Notable requirements: Applicants must be participating Great Lakes Northern Forest CESU partners. Geospatial data must meet applicable open-format and metadata requirements. - OEMs and vendors: None identified.

Description

The U.S. Geological Survey is offering a cooperative agreement to an eligible participating partner of the Great Lakes Northern Forrest Cooperative Ecosystem Studies Unit. The project will research and implement sampling and statistical strategies to improve accuracy assessment and area estimation for annual remote-sensing-based land-cover monitoring, including examining impacts of reference data uncertainties. The work supports assessment of USGS land-cover change products such as the Annual National Land Cover Database. The notice anticipates one award with an estimated total funding of $135,000.

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