%0 Journal Article
%T Inferring Snow Water Equivalent for a Snow-Covered Ground Reflector Using GPS Multipath Signals
%A Mark D. Jacobson
%J Remote Sensing
%D 2010
%I MDPI AG
%R 10.3390/rs2102426
%X 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 5กใ and 30กใ. The results from this nonlinear algorithm show potential for inferring snow water equivalent using GPS multipath signals.
%K global positioning system (GPS)
%K multipath
%K specular reflection
%K snow depth
%K snow density
%K snow water equivalent
%U http://www.mdpi.com/2072-4292/2/10/2426