Retrieval Model for Soil Moisture Content Using GPS-Interferometric Reflectometry

被引：0
|
作者：
Wu J. [1 ]
Wang T. [1 ]
Wu W. [1 ]
机构：
[1] College of Geomatics Science and Technology, Nanjing Tech University, Nanjing
来源：
| 2018年 / Editorial Board of Medical Journal of Wuhan University卷 / 43期
基金：
中国国家自然科学基金;
关键词：
GPS-interferometric reflectometry; Linear model; Parameter estimation; Reflections; Signal-to-noise ratio; Soil moisture content;
D O I：
10.13203/j.whugis20160088
中图分类号：
学科分类号：
摘要：
GPS-interferometric reflectometry can be used to infer temporal changes in near surface, soil moisture content. To estimate reliable GPS interferogram metrics such as phase and amplitude, an improved estimation method based on the GPS signal-to-noise ratio (SNR) data is presented, and a retrieval model for soil moisture content is constructed. Experiments indicate that the improved method is capable of estimating accurate and reliable GPS interferogram metrics as compared to the common method. The SNR phase shows a nearly linear relationship to the soil moisture content. Furthermore, a linear retrieval model for soil moisture content can be achieved, and the model is sensitive to consecutive precipitation. © 2018, Research and Development Office of Wuhan University. All right reserved.
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收藏
页码：887 / 892
页数：5
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