SOIL MOISTURE ESTIMATION BASED ON THE AIEM FOR BARE AGRICULTURAL AREA

被引：1
|
作者：
Zhang, Xiang [1 ]
Tang, Xinming [1 ]
Gao, Xiaoming [1 ]
Zhao, Hui [2 ]
Li, Tao [1 ]
Chen, Qianfu [1 ]
机构：
[1] Land Satellite Remote Sensing Applicat Ctr, Minist Nat Resources PRChina, Beijing, Peoples R China
[2] Natl Geomat Ctr China, Beijing, Peoples R China
来源：
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年
基金：
中国国家自然科学基金;
关键词：
Soil moisture; SAR; multi-sensor; AIEM; least square;
D O I：
10.1109/IGARSS39084.2020.9324115
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An AIEM based soil moisture retrieval strategy for bare agricultural area was developed in this study. In order to solve the ill-posed problem for soil moisture retrieval, multi-sensor SAR observations were integrated to estimate soil moisture based on the AIEM simulation. Soil surface parameters were derived using the least square method. The influence of surface roughness for soil moisture estimation was removed. Based on the in situ measurement and multi-sensor SAR images acquired on October 2015 over agricultural area, quantitative evaluation of the developed method was implemented. The results indicate that accurate soil moisture was obtained over the study area. The root mean square error of the estimated result is less than 0.05 cm(3)/cm(3).
引用
收藏
页码：4723 / 4726
页数：4
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