Inferring Snow Water Equivalent for a Snow-Covered Ground Reflector Using GPS Multipath Signals

Remote Sensing

关键词: global positioning system (GPS);    multipath;    specular reflection;    snow depth;    snow density;    snow water equivalent;   

DOI  :  10.3390/rs2102426

来源: mdpi

【 摘 要 】

A nonlinear least squares fitting algorithm is used to estimate both snow depth and snow density for a snow-layer above a flat ground reflector. The product of these two quantities, snow depth and density, provides an estimate of the snow water equivalent. The input to this algorithm is a simple ray model that includes a speculary reflected signal along with a direct signal. These signals are transmitted from the global positioning system satellites at 1.57542 GHz with right-hand circularly polarization. The elevation angles of interest at the GPS receiving antenna are between 5° and 30°. The results from this nonlinear algorithm show potential for inferring snow water equivalent using GPS multipath signals.

【 授权许可】

CC BY   
© 2010 by the authors; licensee MDPI, Basel, Switzerland.