Soil moisture estimation using multi-incidence and multi-polarization ASAR data

被引:124
作者
Baghdadi, N.
Holah, N.
Zribi, M.
机构
[1] Bur Rech Geol & Minieres, French Geol Survey, F-45060 Orleans, France
[2] Univ Orleans, ISTO, F-45067 Orleans 2, France
[3] CNRS, CETP, F-78140 Velizy Villacoublay, France
关键词
D O I
10.1080/01431160500239032
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The potential of Advanced Synthetic Aperture Radar (ASAR) for the retrieval of surface soil moisture over bare soils was evaluated for several ASAR acquisition configurations: (1) one date/single channel (one incidence and one polarization); (2) one date/two channels (one incidence and two polarizations); (3) two dates/ two channels (two incidences and one polarization); and (4) two dates/four channels (two incidences and two polarizations). The retrieval of soil moisture from backscattering measurements is discussed, using empirical inversion approaches. When compared with the results obtained with a single polarization (HH or HV), the use of two polarizations (HH and HV) does not enable a significant improvement in estimating soil moisture. For the best estimates of soil moisture, ASAR data should be acquired at both low and high incidence angles. ASAR proves to be a good remote sensing tool for measuring surface soil moisture, with accuracy for the retrieved soil moisture that can reach 3.5% (RMSE).
引用
收藏
页码:1907 / 1920
页数:14
相关论文
共 22 条
[1]   Potential of ERS and Radarsat data for surface roughness monitoring over bare agricultural fields: application to catchments in Northern France [J].
Baghdadi, N ;
King, C ;
Bourguignon, A ;
Remond, A .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (17) :3427-3442
[2]   Retrieving surface roughness and soil moisture from synthetic aperture radar (SAR) data using neural networks [J].
Baghdadi, N ;
Gaultier, S ;
King, C .
CANADIAN JOURNAL OF REMOTE SENSING, 2002, 28 (05) :701-711
[3]   NEAR-SURFACE SOIL-MOISTURE ESTIMATION FROM MICROWAVE MEASUREMENTS [J].
BRUCKLER, L ;
WITONO, H ;
STENGEL, P .
REMOTE SENSING OF ENVIRONMENT, 1988, 26 (02) :101-121
[4]   ACTIVE MICROWAVE SOIL-MOISTURE RESEARCH [J].
DOBSON, MC ;
ULABY, FT .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1986, 24 (01) :23-36
[5]   MEASURING SOIL-MOISTURE WITH IMAGING RADARS [J].
DUBOIS, PC ;
VANZYL, J ;
ENGMAN, T .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1995, 33 (04) :915-926
[6]   BACKSCATTERING FROM A RANDOMLY ROUGH DIELECTRIC SURFACE [J].
FUNG, AK ;
LI, ZQ ;
CHEN, KS .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1992, 30 (02) :356-369
[7]   Potential of ASAR/ENVISAT for the characterization of soil surface parameters over bare agricultural fields [J].
Holah, N ;
Baghdadi, N ;
Zribi, M ;
Bruand, A ;
King, C .
REMOTE SENSING OF ENVIRONMENT, 2005, 96 (01) :78-86
[8]   Soil moisture estimation from ERS/SAR data:: Toward an operational methodology [J].
Le Hégarat-Mascle, S ;
Zribi, M ;
Alem, F ;
Weisse, A ;
Loumagne, C .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (12) :2647-2658
[9]  
LETOAN T, 1982, P INT GEOSC REM SENS, P25
[10]   Condition for precise measurement of soil surface roughness [J].
Oh, Y ;
Kay, YC .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (02) :691-695