Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, Vol. 11, No. 3, pp. 301-309
Investigation of statistical significance of reconstruction algorithms of snow water equivalent
K.A. Berezin
1 , A.V. Dmitriev
1 , V.V. Dmitriev
1 1 Omsk State Pedagogical University, Omsk, Russia
The paper presents some issues of remote sensing of snow cover. Some algorithms of snow-water equivalent (SWE) recovering based on microwave radiometry were investigated. Physical-mechanical parameters of snow cover were measured to test the SWE recover algorithms efficiency. Measurements were taken in West Siberian region during winter seasons of 2008-2013. Measurements were conducted at four test sites at time intervals of 7-10 days. At later office processing, seasonal variations of SWE, snow density and depth were measured. Satellite data used were surface brightness temperature measured in microwave range by AMSR-E (AQUA satellite) and AMSU (satellite NOAA-15) radiometers. The study of SWE recover algorithms efficiency was conducted by comparing model values with ground-based measurements. Four algorithms were investigated. Two algorithms were identified as better matches for ground data. The first algorithm uses data of 31 and 89 GHz. The second one uses data of 3 frequencies: 23, 31 and 89 GHz. At the next step, the statistical significance of satellite data of SWE recover algorithms was estimated. For this purpose we investigated the dependence of relative error on sample size. It was found out, that minimal relative error was 15-16% for ground data. the SWE recover algorithms showed minimal relative error of 32% (first algorithm) and 18% (second one).
Keywords: remote sensing, snow cover, snow water equivalent, algorithm of restoration, statistical importance
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