DocumentCode :
513440
Title :
A vegetation correction methodology applied for soil moisture retrieval from C-band radar observations
Author :
Joseph, A.T. ; van der Velde, Qulin ; O´Neill, P.E. ; Lang, R. ; Gish, T.
Author_Institution :
Hydrospheric & Biospheric Sci. Lab., NASA/Goddard Space Flight Center, Greenbelt, MD, USA
Volume :
3
fYear :
2009
fDate :
12-17 July 2009
Abstract :
This research presents a methodology to correct backscatter (¿o) observations for vegetation effects. The proposed methodology is based on the concept that the ratio between the surface scattering over the total amount of scattering (¿surface o /¿soil o) is affected only by the vegetation and can be described as a function of the vegetation water content. The data set used in this study was collected at USDA´s Optimizing Production Inputs for Economic and Environmental Enhancement (OPE3) experimental site in Beltsville, Maryland (USA) over a corn growth cycle in 2002 and includes C-band (4.75 GHz) HH- and VV-polarized observations acquired at incidence angles of 15, 35 and 55 degrees. During this period the corn crops reached peak biomass of 6.6 kg m-2 and a soil moisture range varying from 0.02 to 0.26 cm3cm-3. The results show that through application of the proposed vegetation correction methodology the soil moisture retrieval accuracy can be improved from 0.033 to 0.032 cm3cm-3, 0.049 to 0.033 cm3cm-3, and 0.079 to 0.047 cm3cm-3 at incidence angles of 15, 35 and 55 degrees, respectively.
Keywords :
backscatter; geophysical signal processing; hydrological techniques; moisture; remote sensing by radar; soil; vegetation; AD 2002; Beltsville; C-band radar observations; HH polarized observations; Maryland; USA; USDA OPE3 experimental site; VV polarized observations; backscatter correction; corn growth cycle; frequency 4.75 GHz; soil moisture retrieval accuracy; surface scattering; vegetation correction methodology; vegetation effects; vegetation water content; Biomass; Moisture measurement; Production; Radar measurements; Radar scattering; Soil measurements; Soil moisture; Surface soil; US Department of Agriculture; Vegetation mapping; Vegetation correction; radar; retrieval algorithms; soil moisture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
Type :
conf
DOI :
10.1109/IGARSS.2009.5418192
Filename :
5418192
Link To Document :
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