利用GPS-IR监测土壤湿度的多星线性回归反演模型

doi:10.11947/j.AGCS.2020.20190095

测绘学报 ›› 2020, Vol. 49 ›› Issue (7): 833-842.doi: 10.11947/j.AGCS.2020.20190095

利用GPS-IR监测土壤湿度的多星线性回归反演模型

梁月吉^1,2, 任超^1,2, 黄仪邦¹, 潘亚龙¹, 张志刚¹

1. 桂林理工大学测绘地理信息学院, 广西桂林 541004;
2. 广西空间信息与测绘重点实验室, 广西桂林 541004

收稿日期:2019-03-27 修回日期:2019-08-29 发布日期:2020-07-14
通讯作者: 任超 E-mail:renchao@glut.edu.cn
作者简介:梁月吉(1988-),男,硕士,讲师,研究方向为GNSS遥感技术及应用。E-mail:lyjayq@glut.edu.cn
基金资助:
国家自然科学基金（41901409；41461089）；广西高校中青年教师基础能力提升项目（2018KY0247）；广西自然科学基金（2015GXNSFAA139230）

Multi-star linear regression retrieval model for monitoring soil moisture using GPS-IR

LIANG Yueji^1,2, REN Chao^1,2, HUANG Yibang¹, PAN Yalong¹, ZHANG Zhigang¹

1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China;
2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, Chinat

Received:2019-03-27 Revised:2019-08-29 Published:2020-07-14
Supported by:
The National Natural Science Foundation of China (Nos. 41901409;41461089);The Basic Ability Improvement Project for Young and Middle-Aged Teachers in Guangxi Universities(No. 2018KY0247);The National Natural Science Foundation of Guangxi Province of China (No. 2015GXNSFAA139230)

摘要/Abstract

摘要： 全球定位系统干涉反射测量（GPS-interferometric reflectometry，GPS-IR）是一种新的遥感技术，利用测量型接收机记录的信噪比（signal-to-noise ratio，SNR）观测值可实现近地表土壤湿度的监测。考虑到目前利用多星组合反演土壤湿度的研究较少，提出一种土壤湿度多星线性回归反演模型。试验表明：①多星组合反演能够更全面地反映测站附近有效监测范围内的土壤湿度信息，有效改善采用单颗卫星反演时反演过程极易出现异常跳变的现象，提高了突发性降雨时段的土壤湿度反演精度。②当组合卫星数达到6颗以上时，其反演结果与土壤湿度参考值之间的相关系数均大于0.9，相对于单颗卫星至少提高了20.8%。

关键词: GPS-IR, 土壤湿度, 信噪比, 多星组合, 反演精度

Abstract: Global positioning system interferometric reflectometry (GPS-IR) is a new remote sensing technique that can be used to estimate near-surface soil moisture from signal-to-noise ratio (SNR) data recorded by a measurement receiver. Considering that there are few studies on the inversion of soil moisture by multi-satellite combination, a multi-star linear regression soil moisture inversion model is proposed. The experiment shows that: ①The multi-satellite combination inversion mode can more comprehensively reflect the soil moisture information within the effective monitoring range near the station, and effectively improve the phenomenon that the inversion process is prone to abnormal jump when using single satellite inversion. At the same time, it improves the accuracy of soil moisture inversion during sudden rainfall periods. ②When the number of combined satellites reaches 6 or more, the correlation coefficient between the inversion result and the soil moisture reference value is greater than 0.9, which is at least 20.8% higher than that of a single satellite.

Key words: GPS-interferometric reflectometry, soil moisture, signal to noise ratio, multi-satellite combination, retrieval accuracy

中图分类号:

P228

梁月吉, 任超, 黄仪邦, 潘亚龙, 张志刚. 利用GPS-IR监测土壤湿度的多星线性回归反演模型[J]. 测绘学报, 2020, 49(7): 833-842.

LIANG Yueji, REN Chao, HUANG Yibang, PAN Yalong, ZHANG Zhigang. Multi-star linear regression retrieval model for monitoring soil moisture using GPS-IR[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(7): 833-842.

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利用GPS-IR监测土壤湿度的多星线性回归反演模型

Multi-star linear regression retrieval model for monitoring soil moisture using GPS-IR

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