Snow Depth Estimation Based on Multipath Phase Combination of GPS Triple-Frequency Signals

doi:10.1109/TGRS.2015.2417214

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 北斗导航工程中心

	Snow Depth Estimation Based on Multipath Phase Combination of GPS Triple-Frequency Signals
	Yu, Kegen 1,2; Ban, Wei 1; Zhang, Xiaohong 1,2; Yu, Xingwang3
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2015-09-01
卷号	53 期号:9 页码:5100-5109
关键词	Global Navigation Satellite Systems multipath reflectometry (GNSS-MR) multipath phase combination snow depth estimation triple-frequency signals
ISSN号	0196-2892
DOI	10.1109/TGRS.2015.2417214
通讯作者	Yu, KG (reprint author), Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China.
英文摘要	Snow is important to the ecological and climate systems; however, current snowfall and snow depth in situ observations are only available sparsely on the globe. By making use of the networks of Global Positioning System (GPS) stations established for geodetic applications, it is possible to monitor snow distribution on a global scale in an inexpensive way. In this paper, we propose a new snow depth estimation approach using a geodetic GPS station, multipath reflectometry and a linear combination of phase measurements of GPS triple-frequency (L1, L2, and L5) signals. This phase combination is geometry free and is not affected by ionospheric delays. Analytical linear models are first established to describe the relationship between antenna height and spectral peak frequency of combined phase time series, which are calculated based on theoretical formulas. When estimating snow depth in real time, the spectral peak frequency of the phase measurements is obtained, and then the model is used to determine snow depth. Two experimental data sets recorded in two different environments were used to test the proposed method. The results demonstrate that the proposed method shows an improvement with respect to existing methods on average.
资助项目	National 973 Project China[2013CB733301] ; National Natural Science Foundation of China[41474025] ; Doctoral Program of Higher Education of China[20130141110001]
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000356159000029
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/1719]
专题	北斗导航工程中心
通讯作者	Yu, Kegen
作者单位	1.Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China 2.Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
推荐引用方式 GB/T 7714	Yu, Kegen,Ban, Wei,Zhang, Xiaohong,et al. Snow Depth Estimation Based on Multipath Phase Combination of GPS Triple-Frequency Signals[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2015,53(9):5100-5109.
APA	Yu, Kegen,Ban, Wei,Zhang, Xiaohong,&Yu, Xingwang.(2015).Snow Depth Estimation Based on Multipath Phase Combination of GPS Triple-Frequency Signals.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,53(9),5100-5109.
MLA	Yu, Kegen,et al."Snow Depth Estimation Based on Multipath Phase Combination of GPS Triple-Frequency Signals".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 53.9(2015):5100-5109.