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ARS Home » Northeast Area » University Park, Pennsylvania » Pasture Systems & Watershed Management Research » Research » Publications at this Location » Publication #397968
Research Project: Sustainable Intensification of Crop and Integrated Crop-Livestock Systems at Multiple Scales

Location: Pasture Systems & Watershed Management Research

Title: Data from: Not just crop or forest: building an integrated land cover map for agricultural and natural areas

Author
item KAMMERER, MELANIE - Oak Ridge Institute For Science And Education (ORISE)
item IVERSON, AARON - Lawrence University
item LI, KEVIN - University Of Michigan
item Goslee, Sarah

Submitted to: Ag Data Commons
Publication Type: Database / Dataset
Publication Acceptance Date: 10/20/2022
Publication Date: 10/20/2022
Citation: Kammerer, M., Iverson, A., Li, K., Goslee, S.C. 2022. Data from: Not just crop or forest: building an integrated land cover map for agricultural and natural areas. Ag Data Commons. https://doi.org/10.5194/essd-2022-331 .
DOI: https://doi.org/10.5194/essd-2022-331

Interpretive Summary: No Interpretive Summary is required for this Database / Dataset. JLB.

Technical Abstract: Due to our increasing understanding of the role the surrounding landscape plays in ecological processes, a detailed characterization of land cover, including both agricultural and natural habitats, is ever more important for both researchers and conservation practitioners. Unfortunately, in the United States, different types of land cover data are split across thematic datasets that emphasize agricultural or natural vegetation, but not both. To address this data gap and reduce duplicative efforts in geospatial processing, we merged two major datasets, the LANDFIRE National Vegetation Classification (NVC) and USDA-NASS Cropland Data Layer (CDL), to produce an integrated land cover map. Our workflow leveraged strengths of the NVC and the CDL to produce detailed rasters comprising both agricultural and natural land-cover classes. We generated these maps for each year from 2012-2021 for the conterminous United States, quantified agreement between input layers and accuracy of our merged product, and published the complete workflow necessary to update these data. In our validation analyses, we found that approximately 5.5% of NVC agricultural pixels conflicted with the CDL, but we resolved a majority of these conflicts based on surrounding agricultural land, leaving only 0.6% of agricultural pixels unresolved in our merged product. These ready-to-use rasters characterizing both agricultural and natural land cover will be widely useful in environmental research and management.