摘要
由于传统方法利用单星进行土壤湿度估算精度较低,且干涉相位与土壤湿度之间的线性关系与实际情况存在差异,GPS-IR (global positioning system-interferometry reflectometry)技术可用于反演土壤湿度。考虑到多星联合反演土壤湿度具有优势,提出一种多星非线性回归估算模型。实验结果表明,该模型有效改善了单星反演出现异常跳变的现象;采用双星或三星联合建立的多星非线性回归模型的估算效果要优于单星,反演结果与土壤湿度参考值之间的相关系数r分别达到0.90和0.93以上,RMSE平均值分别达到了0.029和0.026。
Because soil moisture estimated by traditional methods has low accuracy,and the linear relationship between the interference phase and soil moisture is different from the actual situation,GPS-IR technology can be used to invert soil moisture.Considering the advantages of multi-star joint inversion of soil moisture,this paper proposes a multi-star nonlinear regression estimation model.The experimental results show that:the model effectively improves the phenomenon of abnormal jumps in single star inversion;the multi-star nonlinear regression model established by the combination of a double star or threestar is better than that established by a single star,the correlation coefficient r between the inversion result and the soil moisture reference value is 0.90 and 0.93,respectively,and the RMSE averages reached 0.029 and 0.026,respectively.
作者
任超
潘亚龙
梁月吉
张志刚
黄仪邦
REN Chao;PAN Yalong;LIANG Yueji;ZHANG Zhigang;HUANG Yibang(College of Geomatics Engineering and Geoinformatics,Guilin University of Technology,Guilin,Guangxi 541004,China;Guangxi Key Laboratory of Spatial Information and Geomatics,Guilin,Guangxi 541004,China)
出处
《遥感信息》
CSCD
北大核心
2020年第2期14-18,共5页
Remote Sensing Information
基金
国家自然科学基金项目(41901409、41461089)
广西空间信息与测绘重点实验室项目(16-380-25-22、15-140-07-34)
广西高校中青年教师基础能力提升项目(2018KY0247)。
关键词
GPS-IR
土壤湿度
SNR
多星非线性回归
估算精度
GPS-IR
soil moisture
signal noise ratio(SNR)
multi-star nonlinear regression
estimated accuracy
作者简介
任超(1974-),男,博士,教授,主要研究方向为GPS高精度数据处理及其应用,E-mail:renchao@glut.edu.cn;通信作者:潘亚龙(1996-),男,硕士研究生,主要研究方向为GNSS-R遥感技术及土壤湿度分析,E-mail:panyl0617@qq.com。
