Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States

Rangelands are extensive ecosystems, providing important ecosystem services while undergoing continuous change. As a result, improved monitoring technologies can help better characterize vegetation change. Satellite remote sensing has proven effective in this regard, tracking vegetation dynamics at broad and fine scales. We leveraged the spatial, spectral, and temporal resolution of Sentinel-2 satellites to estimate fractional cover and canopy gap across rangelands of the western United States. We produced annual, 10 m spatial resolution estimates of fractional cover and canopy gap size class for years 2018 to 2024. Fractional cover estimates include that of common plant functional types (annual forb and grass, bareground, littler, perennial forb and grass, shrub, tree) and select genera (including invasive annual grass species, pinyon-juniper species, and sagebrush species); canopy gap size classes include gap sizes 25 to 50, 51 to 100, 101 to 200, and greater than 200 cm. We make these data available as Cloud Optimized GeoTIFFs, organized as 75 × 75 km tiles covering the 17 western states of the United States.

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Publication Details

Journal
Scientific Data
Published
2025-11-28
DOI
https://doi.org/10.1038/s41597-025-06160-9
Citations
2
Primary Topic
Rangeland and Wildlife Management
Type
article
Field-Weighted Citation Impact
3.43
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article

Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States

Timothy J. Assal, Samuel D. Fuhlendorf, Samantha M. Cady, Peter J. Olsoy et al.
2 citations
Scientific Data
Rangeland and Wildlife Management
3.43
article

Sentinel-2 based estimates of rangeland fractional cover and canopy gap class for the western United States

Timothy J. Assal, Samuel D. Fuhlendorf, Samantha M. Cady, Peter J. Olsoy, Jason R. Reinhardt, Georgia R. Harrison, Brady Allred, Ashley M. Tanner, Brian A. Mealor, Brandon T. Bestelmeyer, Chloe M. Mattilio, Anna C. Knight, Erika S Peirce, Alexander C. Brooks, Jason D. Tack, Scott L. Morford, Emily Kachergis, Robert K. Shriver, Nicholas P. Webb, Dirac Twidwell, Michael C. Duniway, David E. Naugle, Sarah E. McCord, Joseph T. Smith, Evan P. Tanner, Eric R. Jensen, Dylan O'Leary, Chad S. Boyd, Shane Green
article en
2 citations

Abstract

Rangelands are extensive ecosystems, providing important ecosystem services while undergoing continuous change. As a result, improved monitoring technologies can help better characterize vegetation change. Satellite remote sensing has proven effective in this regard, tracking vegetation dynamics at broad and fine scales. We leveraged the spatial, spectral, and temporal resolution of Sentinel-2 satellites to estimate fractional cover and canopy gap across rangelands of the western United States. We produced annual, 10 m spatial resolution estimates of fractional cover and canopy gap size class for years 2018 to 2024. Fractional cover estimates include that of common plant functional types (annual forb and grass, bareground, littler, perennial forb and grass, shrub, tree) and select genera (including invasive annual grass species, pinyon-juniper species, and sagebrush species); canopy gap size classes include gap sizes 25 to 50, 51 to 100, 101 to 200, and greater than 200 cm. We make these data available as Cloud Optimized GeoTIFFs, organized as 75 × 75 km tiles covering the 17 western states of the United States.

Scientific DataVol. 12(1)
University of Nebraska–Lincoln (US), Oklahoma State University (US), United States Geological Survey (US), Natural Resources Conservation Service (US), Bureau of Land Management (US), Agricultural Research Service (US), Oregon State University (US), University of Nevada, Reno (US), United States Fish and Wildlife Service (US), Texas A&M University – Kingsville (US), Eastern Oregon University (US), Sheridan College (US), Louisiana Department of Natural Resources (US), Rocky Mountain Research Station (US), Agricultural Research Service - Plains Area (US), Southwest Biological Science Center, Desert Research Institute (US), University of Montana (US)
Openalex Percentile: Top 7%
Rangeland and Wildlife Management
3.43
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