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Journal of Applied Remote Sensing • Open Access

Remote sensing of atmospheric water vapor from synthetic aperture radar interferometry: case studies in Shanghai, China
Author(s): Liang Chang; Min Liu; Lixin Guo; Xiufeng He; Guoping Gao

Paper Abstract

The estimation of atmospheric water vapor with high resolution is important for operational weather forecasting, climate monitoring, atmospheric research, and numerous other applications. The 40    m × 40    m and 30    m × 30    m differential precipitable water vapor ( Δ PWV ) maps are generated with C- and L-band synthetic aperture radar interferometry (InSAR) images over Shanghai, China, respectively. The Δ PWV maps are accessed via comparisons with the spatiotemporally synchronized PWV measurements from the European Centre for Medium-Range Weather Forecasts Interim reanalysis at the finest resolution and global positioning system observations, respectively. Results reveal that the Δ PWV maps can be estimated from both C- and L-band InSAR images with an accuracy of better than 2.0 mm, which, therefore, demonstrates the ability of InSAR observations at both C- and L-band to detect the water vapor distribution with high spatial resolution.

Paper Details

Date Published: 30 December 2016
PDF: 13 pages
J. Appl. Rem. Sens. 10(4) 046032 doi: 10.1117/1.JRS.10.046032
Published in: Journal of Applied Remote Sensing Volume 10, Issue 4
Show Author Affiliations
Liang Chang, Shanghai Ocean Univ. (China)
Collaborative Innovation Ctr. for Distant-Water Fisheries (China)
Min Liu, Shanghai Meteorological Bureau (China)
Lixin Guo, Shanghai Ocean Univ. (China)
Collaborative Innovation Ctr. for Distant-Water Fisheries (China)
Xiufeng He, Hohai Univ. (China)
Guoping Gao, Shanghai Ocean Univ. (China)
Collaborative Innovation Ctr. for Distant-Water Fisheries (China)


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