DocumentCode
2667277
Title
A multi-scattering and multi-layer snow model and its validation
Author
Du, Jinyang ; Shi, J. ; Tjuatja, S. ; Chen, K.S.
Author_Institution
Chinese Acad. of Sci., Beijing
fYear
2007
fDate
23-28 July 2007
Firstpage
1219
Lastpage
1222
Abstract
Microwave scattering from snow is difficult to model due to the complexity and heterogeneity of natural snow. In this paper, we developed a multi-layer, multi-scattering model based on recent theoretical advances in snow and surface modeling. In the proposed multi-layer model, Matrix Doubling method is used to account for scattering from each snow layer; and Advanced Integral Equation Model (AIEM) is incorporated into the model to describe surface scattering. Comparisons were made between the model predictions and field observations from truck-mounted L- and Ku-band scatterometers (frequencies are 1.25 GHz and 15.5 GHz) at Local-Scale Observation Site (LSOS) of NASA Cold- land Processes Field Experiment (CLPX) during Third Intensive Observation Period (IOP3). It was found that model predictions were in good agreement with field observations with proper particle size selected. Analysis on scatterer shape, multiple scattering and snow stratification effects were also made based on model simulations.
Keywords
electromagnetic wave scattering; integral equations; microwave measurement; remote sensing; snow; Local-Scale Observation Site; NASA Cold-land Processes Field Experiment; advanced integral equation model; frequency 1.25 GHz; frequency 15.5 GHz; matrix doubling method; microwave scattering; multilayer snow model; multiscattering snow model; snow stratification effects; surface scattering; truck-mounted scatterometer; Frequency; Integral equations; Particle scattering; Predictive models; Radar scattering; Rayleigh scattering; Remote sensing; Shape; Snow; Spaceborne radar; active microwave; model; snow;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4423025
Filename
4423025
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