The capability of microwave radiometers in retrieving soil moisture profiles: an application of Artificial Neural Networks

被引：0
|
作者：
Paloscia, S [1 ]
Macelloni, G [1 ]
Santi, E [1 ]
Tedesco, M [1 ]
机构：
[1] CNR, IFAC, I-50127 Florence, Italy
来源：
IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET | 2002年
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D O I：
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中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper the capability of multi-frequency microwave radiometers in retrieving soil moisture profiles was investigated by using both experimental data collected in a experiment with IROE microwave radiometers and an electromagnetic model (IEM). The experimental data and the IEM results were used to train an Artificial Neural Network in order to invert the soil moisture data and reproduce the soil moisture profiles.
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页码：1390 / 1392
页数：3
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