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    • This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

    Remote Sensing Derived Topsoil and Agricultural Economic Losses, Midwestern USA

    Metadata Updated: February 22, 2025

    This dataset provides estimates of topsoil loss and economic loss associated with decreased crop productivity resulting from topsoil loss at county- and state-levels across the Corn Belt region of the Midwestern USA. Intermediate products used to derive topsoil loss are provided and include 4 m gridded estimates of study sites elevation, curvature, slope, soil organic carbon index (SOCI), and the probability of exposed B-horizon soil. Topsoil loss at the county- and state-levels was derived from analyses of agricultural land at selected sites across the study area. From WorldView imagery, 759 fields were identified that had exposed bare soil (210 km2) and were grouped into 28 sites. Gridded estimates of the SOCI and of the probability of exposed B-horizon soil were determined for each field within the sites. Topography measures, including elevation (m), curvature (m-1), and slope (deg), were extracted over the entire study area from LiDAR-derived digital elevation models at a 4 m resolution acquired from 2003-2018. Within each of the 28 study sites, the SOCI and topographic curvature values were extracted from co-located pixels. Topsoil loss was estimated from the relationship between subsoil exposure and topography and averaged across each site.The relationship between topsoil loss and topographic curvature was used to up-scale and predict topsoil and economic losses at the county and state-levels across the entire 375,000 km2 study area. The data have been used to demonstrate a robust and scalable method for estimating the magnitude of erosion in agricultural landscapes.

    Access & Use Information

    Public: This dataset is intended for public access and use. Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

    Downloads & Resources

    Dates

    Metadata Created Date February 22, 2025
    Metadata Updated Date February 22, 2025

    Metadata Source

    Harvested from nasa test json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date February 22, 2025
    Metadata Updated Date February 22, 2025
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2216864353-ORNL_CLOUD
    Data First Published 2020-05-07
    Language en-US
    Data Last Modified 2025-02-19
    Category Soil, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 6fcbd716-d927-48d4-bf3e-93e75637c47d
    Harvest Source Id a73e0c30-4684-40ef-908e-d22e9e9e5f86
    Harvest Source Title nasa test json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/1774
    Metadata Type geospatial
    Old Spatial -97.32 40.04 -86.99 46.05
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 606f49223691c5fdb747ce8ac29b80a2ef64c38e730f057eb4e4def1b3144e3a
    Source Schema Version 1.1
    Spatial
    Temporal 2003-04-01T00:00:00Z/2018-07-31T23:59:59Z

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