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Estimation of Snow Depth From GLONASS SNR and Phase-Based Multipath Reflectometry
Qian, Xiaodong1,2; Jin, Shuanggen3,4
2016-10-01
Source PublicationIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN1939-1404
Volume9Issue:10Pages:4817-4823
AbstractMonitoring snow variations can know how fast the snow is melted and how much water is frozen on the Earth. However, traditional ground techniques have some limitations to monitor snow variations due to high cost. Recently, global navigation satellite systems-reflectometry (GNSS-R) has been developed and used to sense snow variations, while previous studies mostly used global positioning system (GPS) observations to estimate snow depth. In this paper, snow depth is estimated from GLONASS signal-to-noise ratio (SNR) and phase-based multipath reflectometry at one IGS GANP station in Slovakia, which is compared with in situ observations. For two snow seasons, snow depth estimations from GLONASS SNR1 and SNR2 data have a good agreement with in situ results with correlations of 0.94 and 0.94 in 2012 and 0.92 and 0.89 in 2013, respectively. Compared to GPS results, snow depth results from GLONASS are almost similar, but have some differences due to low coverage of less GLONASS satellites. However, results from GLONASS geometry-free linear combination (L4) are not pretty much, which needs more works to improve it in the future. Combined GPS and GLONASS observations have no significant improvement on the precision, but improve the spatial resolution because of more satellites.
KeywordGlobal Navigation Satellite Systems-reflectometry (Gnss-r) Glonass Global Positioning System (Gps) Signal-to-noise Ratio (Snr) Snow Depth
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
DOI10.1109/JSTARS.2016.2560763
WOS KeywordHYDROLOGICAL MODELS ; REFLECTED SIGNALS ; GPS SIGNALS
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEngineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000387454400027
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/24107
Collection中国科学院紫金山天文台
Corresponding AuthorJin, Shuanggen
Affiliation1.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Shanghai Astron Observ, Key Lab Planetary Sci, Shanghai 200030, Peoples R China
4.Bulent Ecevit Univ, Dept Geomat Engn, TR-67100 Zonguldak, Turkey
Recommended Citation
GB/T 7714
Qian, Xiaodong,Jin, Shuanggen. Estimation of Snow Depth From GLONASS SNR and Phase-Based Multipath Reflectometry[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2016,9(10):4817-4823.
APA Qian, Xiaodong,&Jin, Shuanggen.(2016).Estimation of Snow Depth From GLONASS SNR and Phase-Based Multipath Reflectometry.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,9(10),4817-4823.
MLA Qian, Xiaodong,et al."Estimation of Snow Depth From GLONASS SNR and Phase-Based Multipath Reflectometry".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 9.10(2016):4817-4823.
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