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Proceedings Paper

Station-based water vapor estimation using sparse national GPS network
Author(s): Y. Gao; W. Tao; Y. Zhang
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Paper Abstract

GPS data processing for water vapor estimation has been to date based on a baseline approach in which data acquired from different stations are processed at a data processing centre using differential GPS techniques. This approach however is limited by the requirement of short distances between GPS tracking stations. This paper is to describe a station-based approach which processes GPS data at different stations independently, taking advantage of widely available high precision GPS orbit and clock data. The method can provide improved flexibility and efficiency for water vapor estimation and is particularly efficient to implement using sparse national GPS network. The paper will describe the methodology of station-based water vapor determination and the obtainable accuracy of the water vapor estimates using data from a geodetic network of continuously operating GPS reference stations in Canada.

Paper Details

Date Published: 7 August 2007
PDF: 12 pages
Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67541A (7 August 2007); doi: 10.1117/12.764683
Show Author Affiliations
Y. Gao, Univ. of Calgary (Canada)
W. Tao, Univ. of Calgary (Canada)
Y. Zhang, Univ. of Calgary (Canada)

Published in SPIE Proceedings Vol. 6754:
Geoinformatics 2007: Geospatial Information Technology and Applications
Peng Gong; Yongxue Liu, Editor(s)

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