Surface soil moisture estimation from SAR data over wheat fields during the ADAM project

被引：0
|
作者：
Prevot, L [1 ]
Voicu, P
Vintila, R
Poenaru, V
DeBoissezon, H
Pourthie, N
机构：
[1] INRA, UMR LISAH, Montpellier, France
[2] Natl Res & Dev Inst Soil Sci Agrochem & Environm, ICPA Bucharest, Bucharest 011464, Romania
[3] ROSA, Bucharest, Romania
[4] CNES, Toulouse, France
来源：
IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES | 2003年
关键词：
SAR; surface soil moisture; wheat; canopy water content; roughness;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Surface soil moisture estimation from SAR (ERS-2 and Radarsat) images was investigated using the "water-cloud" model. It was verified that the "water-cloud" model can adequately represent the backscattering coefficients over winter wheat fields, during the entire growing season, as a function of canopy water content and surface soil moisture.
引用
收藏
页码：2885 / +
页数：2
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