Estimation of the change of soil moisture in vegetated surface with multi-temporal AirSAR data

Author

Wei, Liu ; Shi, Jiancheng ; Wang, Jianming ; Qin, Yu

Author_Institution

Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing

Volume

5

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

3519

Abstract

The ability to estimate soil moisture in the surface layer by microwave remote sensing has been demonstrated. But its application to hydrological and agricultural sciences has been hampered by the complexity of the vegetation canopy and surface roughness which significantly affect the sensitivity of radar backscattering to soil moisture. In this study, we used a simple vegetation model to estimate soil moisture and evaluated the results using multi-temporal L-band AirSAR data

Keywords

backscatter; data acquisition; hydrological techniques; microwave measurement; remote sensing by radar; soil; synthetic aperture radar; vegetation mapping; AirSAR data; agriculture; hydrological techniques; microwave remote sensing; radar backscattering; soil moisture; surface roughness; vegetation canopy; Backscatter; Optical surface waves; Particle scattering; Radar scattering; Remote sensing; Rough surfaces; Soil moisture; Surface roughness; Surface treatment; Vegetation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370468

Filename

1370468