Estimating soil moisture profiles by microwave radiometry over a wheat field

被引：0
|
作者：
Liou, YA [1 ]
Tzeng, YC [1 ]
Wigneron, JP [1 ]
机构：
[1] Natl Cent Univ, Ctr Space & Remote Sensing Res, Chungli 320, Taiwan
来源：
REMOTE SENSING AND HYDROLOGY 2000 | 2001年 / 267期
关键词：
brightness temperature; microwave radiometry; neural network; soil moisture;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This paper demonstrates the use of microwave radiometry in sensing soil moisture profiles over a wheat field. Field measurements of brightness temperatures collected by the PORTOS radiometer operating at 1.4, 5.05 and 10.65 GHz, and concurrent measurements of soil moisture profiles to a depth of 10 ern over a wheat field during a 2.5-month complete growing cycle in 1993 (PORTOS-93 experiment), were used. A Dynamic Learning Neural Network (DLNN) was applied to manage nonlinear mapping from brightness temperatures to soil moisture profiles.
引用
收藏
页码：412 / 414
页数：3
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