Remote Sensing | |
Prevalence of Pure Versus Mixed Snow Cover Pixels across Spatial Resolutions in Alpine Environments | |
David J. Selkowitz1  Richard R. Forster2  Megan K. Caldwell4  Ioannis Gitas3  | |
[1] US Geological Survey, Alaska Science Center, 4210 University Drive, Anchorage, AK 99508, USA;Department of Geography, University of Utah, 260 S. Central Campus Dr., Room 270, Salt Lake City, UT 84112–9155, USA; E-Mail:;id="af1-remotesensing-06-12478">US Geological Survey, Alaska Science Center, 4210 University Drive, Anchorage, AK 99508, U;US Geological Survey, Geosciences and Environmental Change Science Center, P.O. Box 25046, DFC, MS 980, Denver, CO 80225, USA; E-Mail: | |
关键词: remote sensing of snow cover; snow-covered area; mixed pixels; spatial resolution; Landsat; MODIS; | |
DOI : 10.3390/rs61212478 | |
来源: mdpi | |
【 摘 要 】
Remote sensing of snow-covered area (SCA) can be binary (indicating the presence/absence of snow cover at each pixel) or fractional (indicating the fraction of each pixel covered by snow). Fractional SCA mapping provides more information than binary SCA, but is more difficult to implement and may not be feasible with all types of remote sensing data. The utility of fractional SCA mapping relative to binary SCA mapping varies with the intended application as well as by spatial resolution, temporal resolution and period of interest, and climate. We quantified the frequency of occurrence of partially snow-covered (mixed) pixels at spatial resolutions between 1 m and 500 m over five dates at two study areas in the western U.S., using 0.5 m binary SCA maps derived from high spatial resolution imagery aggregated to fractional SCA at coarser spatial resolutions. In addition, we used
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190018804ZK.pdf | 7241KB | download |