![]() ![]() These covariates were remotely sensed topographic and spectral data related to soil, landscape, and vegetation properties, including topographic wetness index (TWI) and Landsat band ratios. We utilized a conditioned Latin Hypercube sampling (cLHS) technique to randomly select sample locations representative of the maximum variability of key environmental covariates. To accomplish these various objectives, an unbiased, representative, and flexible sampling scheme was needed. roads) on soil properties and rangeland health, and 4) identify Sage Grouse habitat suitability. The overall project goal was to assess the utility of available hyperspectral imagery and lidar derived digital terrain model( DTM)s of the Beaver Creek Watershed for addressing multiple research objectives: 1) model hydrologic functions, 2) digitally map soil properties, specifically soil organic carbon, 3) evaluate the impact of linear disturbances (e.g. The Powder River Basin of Wyoming has been extensively impacted by coal-bed methane production. ![]()
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