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Snow depth estimation based on multipath phase combination of GPS triple-frequency signals / Kegen Yu in IEEE Transactions on geoscience and remote sensing, vol 53 n° 9 (September 2015)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 53 n° 9 (September 2015) . - pp 5100 - 5109 Titre : Snow depth estimation based on multipath phase combination of GPS triple-frequency signals Type de document : Article/Communication Auteurs : Kegen Yu, Auteur ; Wei Ban, Auteur ; Xiaohong Zhang, Auteur ; Xingwang Yu, Auteur Année de publication : 2015 Article en page(s) : pp 5100 - 5109 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes IGN] données GPS [Termes IGN] épaisseur [Termes IGN] manteau neigeux [Termes IGN] mesurage de phase [Termes IGN] mesure géométrique [Termes IGN] onde porteuse [Termes IGN] positionnement par GNSS [Termes IGN] récepteur trifréquence [Termes IGN] réflectométrie par GNSS Résumé : (Auteur) 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. Numéro de notice : A2015-553 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2417214 En ligne : https://doi.org/10.1109/TGRS.2015.2417214 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77588 [article]

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