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Estimating sagebrush cover in semi-arid environments using Landsat Thematic Mapper data
Authors:Ramesh Sivanpillai  Steven D. Prager  Thomas O. Storey
Affiliation:1. Wyoming Geographic Information Science Center, University of Wyoming, 1000 E University Avenue, Laramie, WY 82071, USA;2. Department of Geography, University of Wyoming, Laramie, WY 82071, USA
Abstract:Sagebrush ecosystems of the western US provide important habitat for several ungulate and vertebrate species. As a consequence of energy development, these ecosystems in Wyoming have been subjected to a variety of anthropogenic disturbances. Land managers require methodology that will allow them to consistently catalog sagebrush ecosystems and evaluate potential impact of proposed anthropogenic activities. This study addresses the utility of remotely sensed and ancillary geospatial data to estimate sagebrush cover using ordinal logistic regression. We demonstrate statistically significant prediction of ordinal sagebrush cover categories using spectral (χ2 = 113; p < 0.0001) and transformed indices (χ2 = 117; p < 0.0001). Both Landsat spectral bands (c-value = 0.88) and transformed indices (c-value = 0.89) can distinguish sites with closed, moderate and open cover sagebrush cover categories from no cover. The techniques described in this study can be used for estimating categories of sagebrush cover in arid ecosystems.
Keywords:Pinedale   Logistic regression   Mule deer   Remote sensing   Sage grouse
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