GNSS-MR技术用于雪深探测的初步研究  

Preliminary Research on GNSS-MR for Snow Depth

作　　者：张双成[1] 戴凯阳 南阳[1] 张勤[1] 瞿伟[1] 李振宇[1] 赵迎辉[1] 

机构地区：[1]长安大学地质工程与测绘学院

出　　处：《武汉大学学报（信息科学版）》2018年第2期234-240,共7页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金(41104019,41674001,41731066);中央高校基本科研业务费专项资金(310826172202)~~

摘　　要：积雪是全球水循环中的重要组成部分,积雪深度与雪水当量的精确监测对全球气候变化研究极其重要。随着GNSS研究与应用的不断深入,基于多路径效应的GNSS-MR（GNSS multipath reflectometry）技术用于地表环境监测（植被、土壤湿度、雪深、海平面等）已成为一种新兴的遥感手段。分析了SNR（signal-tonoise ratio）信噪比值的变化特性,详细给出了基于SNR观测值的GNSS-MR技术探测雪深的基本原理及其计算流程图。为了验证算法的有效性,利用科罗拉多州17d连续跟踪站NWOT的GPS数据反演了降雪厚度,其结果与实测的雪深记录数据吻合较好,误差均值为0.07m。初步研究结果验证了GNSS-MR技术用于积雪深度探测的可行性,并为后续充分利用现有的全球密集GNSS跟踪站数据开展地表环境监测提供重要参考。Snow is a critical storage component in the hydrologiccycle;accurate measurements of snow depth and snow water storage are very important for global climate research.As research and application of GNSS deepens,GNSS-MR based multipath has emerged as a new technology of remote sensing for environmental monitoring of vegetation,soil moisture,snow depth,sea levels,,and so on.The characteristics of change in SNR data are analyzed and the fundamental principles of GNSS-MR based SNR and calculation flow chart are introduced.Experiments with GPS data collected for 17 days at the NWOT station,Colorado,verify the validity of GNSS-MR based SNR.The retrieval result was consistent with the snow depth recorder;the standard deviation was 0.07 m.Results also show that the GNSS-MR for snow depth is very effective and useful for environmental monitoring with abundantglobalGNSS stations.

关 键 词：全球导航卫星系统 GNSS遥感 GNSS多路径反射 信噪比 积雪深度 Lomb-Scargle周期图法 

分 类 号：P228[天文地球—大地测量学与测量工程]