Retrieving surface soil moisture over a wheat field:: Comparison of different methods

被引:21
作者
Pardé, M
Wigneron, JP
Chanzy, A
Waldteufel, P
Kerr, Y
Huet, S
机构
[1] INRA, F-33883 Villenave Dornon, France
[2] INRA, CSE, F-84914 Avignon 9, France
[3] Serv Aeronomie, F-91371 Verrieres Le Buisson, France
[4] CESBIO, F-31401 Toulouse 4, France
[5] INRA Biometrie, F-79352 Jouy En Josas, France
关键词
soil moisture; wheat field; L-band;
D O I
10.1016/j.rse.2003.08.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The main objective of the Soil Moisture and Ocean Salinity (SMOS) mission over the land surface is to monitor surface soil moisture (SM) from measurements of the microwave emission at L-band. These measurements will be done at many incidence angles and two polarizations. The multiconfiguration system of SMOS provides the possibility to retrieve one or several surface parameters in addition to soil moisture. Such an approach, referred to as N-parameter retrievals (where N is the number of retrieved parameters), could make the retrieval process more efficient. In this study, this possibility was investigated using an experimental dataset acquired over a wheat field. First, a detailed analysis of the attenuation properties of the wheat canopy, a vertical-stem dominated crop, was made. The results showed that the polarization and incidence angle dependence of attenuation was very significant and could be accurately modeled using only two parameters: the optical depth tau at nadir (tau(theta = 0)) and a polarization parameter (C(pol)). The need for this latter parameter results from the difference in the dielectric properties of wheat for the vertical and horizontal polarizations. Based on these results, a detailed comparison of different soil moisture retrieval approaches was made. One-, two-, and three-parameter retrieval approaches were tested. In this latter method, soil moisture and the two vegetation parameters (tau(theta = 0) and C(pol)) were retrieved simultaneously. This method was found to be the most efficient: it provided the best accuracy in the SM retrievals and it did not require ancillary information on the vegetation characteristics, which cannot be easily estimated for operational SM mapping applications. (C) 2003 Elsevier Inc. All rights reserved.
引用
收藏
页码:334 / 344
页数:11
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