Location: Range Management Research
Title: Estimating rangeland fractional cover and canopy gap size class with Sentinel-2 imageryAuthor
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McCord, Sarah |
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ALLRED, BRADY - University Of Montana |
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ASSAL, TIMOTHY - Bureau Of Land Management |
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Bestelmeyer, Brandon |
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Boyd, Chad |
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BROOKS, ALEXANDER - Desert Research Institute |
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CADY, SAMANTHA - University Of Nebraska-Lincoln |
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DUNIWAY, MICHAEL - Us Geological Survey |
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FUHLEDORF, SAMUEL - Oklahoma State University |
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GREEN, SHANE - Natural Resources Conservation Service (NRCS, USDA) |
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Harrison, Georgia |
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JENSEN, ERIC - Desert Research Institute |
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KACHERGIS, EMILY - Bureau Of Land Management |
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KNIGHT, ANNA - Us Geological Survey (USGS) |
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MATTILIO, CHLOE - University Of Wyoming |
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MEALOR, BRIAN - University Of Wyoming |
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NAUGLE, DAVID - University Of Montana |
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OLEARY, DYLAN - Oregon State University |
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Olsoy, Peter |
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Peirce, Erika |
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REINHARDT, JASON - Us Forest Service (FS) |
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SHRIVER, ROBERT - University Of Nevada School Of Medicine |
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SMITH, JOSEPH - University Of Montana |
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TACK, JASON - Fisheries & Wildlife |
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TANNER, ASHLEY - Wildlife Center |
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TANNER, EVAN - Wildlife Center |
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TWIDWELL, DIRAC - University Of Nebraska-Lincoln |
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Webb, Nicholas |
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MORFORD, SCOTT - University Of Montana |
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Submitted to: Society for Range Management Meeting Abstracts
Publication Type: Abstract Only Publication Acceptance Date: 5/1/2026 Publication Date: 7/11/2026 Citation: McCord, S.E., Allred, B., Assal, T.J., Bestelmeyer, B.T., Boyd, C.S., Brooks, A.C., Cady, S.M., Duniway, M.C., Fuhledorf, S.D., Green, S.A., Harrison, G.R., Jensen, E.R., Kachergis, E.J., Knight, A.C., Mattilio, C.M., Mealor, B.A., Naugle, D.E., Oleary, D., Olsoy, P.J., Peirce, E.S., Reinhardt, J.R., Shriver, R.K., Smith, J.T., Tack, J.D., Tanner, A.M., Tanner, E.P., Twidwell, D., Webb, N.P., Morford, S.L. 2026. Estimating rangeland fractional cover and canopy gap size class with Sentinel-2 imagery. Society for Range Management Meeting Abstracts. Abstract. Interpretive Summary: Technical Abstract: Rangelands are extensive ecosystems, providing important ecosystem services while undergoing continuous change. This creates an urgent need for monitoring technologies that can characterize vegetation dynamics across multiple spatial and temporal scales. Satellite remote sensing has proven effective for tracking these changes at both broad and fine resolutions. Since 2018, the Rangeland Analysis Platform has used Landsat imagery to assess rangeland condition and trends at 30-m resolution from 1986 to present. Recent technological advancements now allow us to detect more subtle but ecologically important changes. We used Sentinel-2 satellites improved spatial (10m), spectral, and temporal resolution to estimate fractional cover and the map the size distribution of plant inter-canopy gaps across western U.S. rangelands. Our approach employs a one-dimensional convolutional neural network on extensive field data to predict cover of plant functional types, select genera, and canopy gap size classes. We produced annual, 10-m resolution maps from 2018 to 2024, creating a new resource for monitoring rangeland condition and evaluating management effectiveness at scales relevant to ecological processes and management decisions. |
