DocumentCode
3306224
Title
Evaluation of vegetation effect on the retrieval of snow parameters from backscattering measurements: A contribution to CoReH2O mission
Author
Macelloni, Giovanni ; Brogioni, Marco ; Montomoli, Francesco ; Fontanelli, Giacomo ; Kern, Michael ; Rott, Helmut
Author_Institution
IFAC, CNR, Italy
fYear
2010
fDate
25-30 July 2010
Firstpage
1772
Lastpage
1775
Abstract
In preparation of the satellite mission CoReH2O, one of the three missions selected for scientific and technical feasibility studies within the Earth Explorer Programme of the European Space Agency, experimental and theoretical studies started in order to investigate backscatter properties of snow covered terrain and improve the methods for retrieval of snow physical properties from SAR data. The aim of this paper is to investigate the impact of vegetation in the retrieval of snow parameters from backscattering measurements. First a radiative transfer model, able to simulating scattering from a vegetated snow-covered terrain was developed and implemented. Lastly, a sensitivity analysis on snow and vegetation parameters was conducted for coniferous forest. Results confirm that with increasing biomass the sensitivity to SWE strongly decreases. Moreover when biomass is in the 0-150 m3/ha range a procedure to correct the vegetation effect in the SWE retrieval algorithm is suggested.
Keywords
hydrological techniques; radiative transfer; remote sensing by radar; snow; synthetic aperture radar; vegetation; COld REgions Hydrology High-resolution Observatory; CoReH20 mission; SAR data; SWE retrieval algorithm; backscatering measurements; coniferous forest; radiative transfer model; sensitivity analysis; snow parameters; vegetation effect; Backscatter; Biological system modeling; Biomass; Scattering; Sensitivity; Snow; Vegetation mapping; CoReH2O; SAR; snow; vegetation;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5649877
Filename
5649877
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