Title :
Inverse Modeling of GPS Multipath for Snow Depth Estimation—Part II: Application and Validation
Author :
Nievinski, Felipe G. ; Larson, Kristine M.
Author_Institution :
Dept. de Cartografia, Univ. Estadual Paulista “Julio de Mesquita Filho, Presidente Prudente, Brazil
Abstract :
GPS multipath reflectometry (GPS-MR) is a technique that uses geodetic quality GPS receivers to estimate snow depth. The accuracy and precision of GPS-MR retrievals are evaluated at three different sites: grasslands, alpine, and forested. The assessment yields a correlation of 0.98 and an rms error of 6-8 cm for observed snow depths of up to 2.5 m. GPS-MR underestimates in situ snow depth by 10%-15% at these three sites, although the validation methods do not measure the same footprint as GPS-MR.
Keywords :
Global Positioning System; hydrological techniques; remote sensing; snow; vegetation; GPS multipath inverse modeling; GPS multipath reflectometry; GPS-MR footprint; GPS-MR retrievals; alpine site; forested site; geodetic quality GPS receivers; grassland site; snow depth estimation; Antennas; Azimuth; Global Positioning System; Satellites; Signal to noise ratio; Snow; Uncertainty; Artificial satellites; electromagnetic reflection; global positioning system; interferometers; multipath channels; radar remote sensing;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2013.2297688