DocumentCode
556893
Title
SAR and optical data utilization for soil moisture retrieval in vegetated region
Author
Singh, Dharmendra ; Prakash, Rishi ; Pathak, N.P. ; Mohan, Shiv ; Singh, K.P.
Author_Institution
Dept. of Electron. & Comput. Eng., Indian Inst. of Technol. Roorkee, Roorkee, India
fYear
2011
fDate
26-30 Sept. 2011
Firstpage
1
Lastpage
4
Abstract
This paper presents a fusion of information approach to retrieve the soil moisture in vegetated area with requirement of minimum apriori information. A normalization approach of scattering coefficient of vegetated area has been utilized so that normalized scattering coefficient becomes a function of vegetation only. The vegetation can also be modeled with NDVI, a vegetation index. An empirical relationship has been developed between normalized scattering coefficient and NDVI. This empirical relationship provides the scattering coefficient of bare soil which is inverted with Dubois model to retrieve volumetric soil moisture content.
Keywords
data assimilation; hydrological techniques; moisture; remote sensing by radar; soil; synthetic aperture radar; vegetation; Dubois model; NDVI; SAR; information fusion; minimum a priori information; normalization approach; normalized difference vegetation index; normalized scattering coefficient; optical data utilization; soil moisture retrieval; vegetated area scattering coefficient; vegetated region; volumetric soil moisture content; Agriculture; Mathematical model; Remote sensing; Scattering; Soil moisture; Vegetation mapping; NDVI; SAR; scattering coefficient; soil moisture; vegetation;
fLanguage
English
Publisher
ieee
Conference_Titel
Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4577-1351-4
Type
conf
Filename
6086948
Link To Document