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Farm Service Agency Online Data Resources

    As directed by the OPEN (Open, Public, Electronic, and Necessary) Government Data Act and through its commitment to United States agriculturalists and interested public, FSA provides numerous data resources through reports, visualizations, and other formats. Visit the FSA Online Data Resources page to view the table that provides links to pages with USDA Farm Services Agency (FSA) data. Use the search feature for FSA data resources by category or program.

    Agricultural land use by field: Upper Mississippi River Basin 2010-2020

      This database is structured around individual farm fields as the unit of record, providing a framework that enables land use to be assessed at the same scale that agricultural land uses shift, at an annual time step, and at the scale at which conservation practices are implemented. It is beneficial to document agricultural land cover and its rates of change to understand responses of watershed, landscape, and agroecosystem processes to changes in land use and to identify viable approaches that can be customized for local adoption and mitigate environmental impacts from agricultural production.

      IMAP: Image Mapping & Analytics for Phenotyping

        A set of PYTHON programs to implement image processing of ground and aerial images by offering via graphical user interface (GUI) 1) plot-level metrics extraction through a series of algorithms for image conversion, band math, radiometric/geometric calibrations, segmentation, masking, adaptive region of interest (ROI), gridding, heatmap, and batch process, 2) GIS interface for GeoTIFF pixels to Lat/Lon, UTM conversion, read/write shapefile, Lat/Lon to ROI, grid to polygon, and 3) utility GUI functions for zooming, panning, rotation, images to video, file I/O, and histogram.

        Agricultural land use by field: Nebraska 2010-2020

          This database is structured around individual farm fields as the unit of record, providing a framework that enables land use to be assessed at the same scale that agricultural land uses shift, at an annual time step, and at the scale at which conservation practices are implemented. It is beneficial to document agricultural land cover and its rates of change to understand responses of watershed, landscape, and agroecosystem processes to changes in land use and to identify viable approaches that can be customized for local adoption and mitigate environmental impacts from agricultural production.

          Agricultural land use by field: Illinois 2010-2020

            This database is structured around individual farm fields as the unit of record, providing a framework that enables land use to be assessed at the same scale that agricultural land uses shift, at an annual time step, and at the scale at which conservation practices are implemented. It is beneficial to document agricultural land cover and its rates of change to understand responses of watershed, landscape, and agroecosystem processes to changes in land use and to identify viable approaches that can be customized for local adoption and mitigate environmental impacts from agricultural production.

            Agricultural land use by field: Wisconsin 2010-2019

              This database is structured around individual farm fields as the unit of record, providing a framework that enables land use to be assessed at the same scale that agricultural land uses shift, at an annual time step, and at the scale at which conservation practices are implemented. It is beneficial to document agricultural land cover and its rates of change to understand responses of watershed, landscape, and agroecosystem processes to changes in land use and to identify viable approaches that can be customized for local adoption and mitigate environmental impacts from agricultural production.

              Agricultural land use by field: Minnesota 2010-2019

                This database is structured around individual farm fields as the unit of record, providing a framework that enables land use to be assessed at the same scale that agricultural land uses shift, at an annual time step, and at the scale at which conservation practices are implemented. It is beneficial to document agricultural land cover and its rates of change to understand responses of watershed, landscape, and agroecosystem processes to changes in land use and to identify viable approaches that can be customized for local adoption and mitigate environmental impacts from agricultural production.

                Agricultural land use by field: Iowa 2010-2019

                  This database is structured around individual farm fields as the unit of record, providing a framework that enables land use to be assessed at the same scale that agricultural land uses shift, at an annual time step, and at the scale at which conservation practices are implemented. It is beneficial to document agricultural land cover and its rates of change to understand responses of watershed, landscape, and agroecosystem processes to changes in land use and to identify viable approaches that can be customized for local adoption and mitigate environmental impacts from agricultural production.

                  Kellogg Biological Station (KBS) Long Term Ecological Research (LTER) Data Catalog

                  NAL Geospatial Catalog
                    The Kellogg Biological Station (KBS) Long Term Ecological Research (LTER) Data Catalog is a collection of data resources, including data sets, aerial photos, satellite imagery, GIS data, and national LTER network-wide data. You are welcome to examine and use the data as you wish for research and educational needs. However, data are copyrighted and use in a publication requires permission as detailed in KBS LTER's terms of use, which can be found at http://lter.kbs.msu.edu/data/terms-of-use/

                    Greater Blue Earth River Basin Sediment Budget Shapefiles

                      These are the extents of landforms used in the construction of suspended sediment budgets for the LeSueur, Blue Earth and Watonwan Rivers. The extents of bluffs, ravines, lakes, and subwatersheds in 2010 are included, as well as riverbanks from 2008 and 1938.