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An evaluation of terrain‐based downscaling of fractional snow covered area data sets based on LiDAR‐derived snow data and orthoimagery
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2017
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Source: Water Resources Research, 53(8), 6802-6820
[PDF-2.07 MB]
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Journal Title:Water Resources Research
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Description:Reliable maps of snow-covered areas at scales of meters to tens of meters, with daily temporal resolution, are essential to understanding snow heterogeneity, melt runoff, energy exchange, and ecological processes. Here we develop a parsimonious downscaling routine that can be applied to fractional snowcovered area (fSCA) products from satellite platforms such as the Moderate Resolution Imaging Spectroradiometer (MODIS) that provide daily /C24500 m data, to derive higher-resolution snow presence/ absence grids. The method uses a composite index combining both the topographic position index ( TPI)t o represent accumulation effects and the diurnal anisotropic heat ( DAH , sun exposure) index to represent ablation effects. The procedure is evaluated and calibrated using airborne-derived high-resolution data sets
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Source:Water Resources Research, 53(8), 6802-6820
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ISSN:0043-1397;1944-7973;
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Rights Information:Other
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