SOIL MOISTURE RETRIEVAL UNDER VEGETATION USING DUAL POLARIZED PALSAR DATA

被引：4

作者：

Koyama, Christian N. ^{[1
]}

Schneider, Karl ^{[1
]}

机构：

[1] Univ Cologne, Dept Geog, D-50923 Cologne, Germany

来源：

2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2011年

关键词：

Soil moisture; PALSAR; vegetation; surface roughness; L-band; dual polarization; RADAR;

D O I：

10.1109/IGARSS.2011.6049378

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Disturbing effects caused by vegetation and surface roughness are major impediments to accurate quantitative retrievals of soil moisture from SAR. In this study we use PALSAR FBD images to investigate the potential of dual polarized L-band data to derive information on biomass and surface roughness. In correlation analyses between radar observables and in-situ measurements high sensitivities towards surface roughness and crop biomass could be ascertained. Based on these findings, we estimate surface roughness ks and vegetation biomass. The good quality of the estimates allows correcting the backscattering coefficients for the surface roughness and vegetation effects. The results give a promising outlook in terms of the possibility to develop an operational soil moisture retrieval model for PAL SAR data collected in the FBD mode.

引用

页码：1059 / 1062

页数：4

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