Li, Z., Fielding, E. and Cross, P. (2009) Integration of InSAR time series analysis and water vapour correction for mapping postseismic deformation after the 2003 Bam (Iran) Earthquake. IEEE Transactions on Geoscience and Remote Sensing, 47(9), pp. 3220-3230. (doi: 10.1109/TGRS.2009.2019125)
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Publisher's URL: http://dx.doi.org/10.1109/TGRS.2009.2019125
Abstract
Atmospheric water-vapor effects represent a major limitation of interferometric synthetic aperture radar (InSAR) techniques, including InSAR time-series (TS) approaches (e.g., persistent or permanent scatterers and small-baseline subset). For the first time, this paper demonstrates the use of InSAR TS with precipitable water-vapor (InSAR TS + PWV) correction model for deformation mapping. We use MEdium Resolution Imaging Spectrometer (MERIS) near-infrafred (NIR) water-vapor data for InSAR atmospheric correction when they are available. For the dates when the NIR data are blocked by clouds, an atmospheric phase screen (APS) model has been developed to estimate atmospheric effects using partially water-vapor-corrected interferograms. Cross validation reveals that the estimated APS agreed with MERIS-derived line-of-sight path delays with a small standard deviation (0.3–0.5 cm) and a high correlation coefficient (0.84–0.98). This paper shows that a better TS of postseismic motion after the 2003 Bam (Iran) earthquake is achievable after reduction of water-vapor effects using the InSAR TS + PWV technique with coincident MERIS NIR water-vapor data.
Item Type: | Articles |
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Keywords: | InSAR, time series, Bam, postseismic motion, deformation, atmospheric effects, water vapour, MERIS |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Li, Dr Zhenhong |
Authors: | Li, Z., Fielding, E., and Cross, P. |
Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences G Geography. Anthropology. Recreation > GB Physical geography T Technology > TA Engineering (General). Civil engineering (General) |
College/School: | College of Science and Engineering > School of Geographical and Earth Sciences |
Journal Name: | IEEE Transactions on Geoscience and Remote Sensing |
Publisher: | IEEE Computer Society |
ISSN: | 0196-2892 |
Copyright Holders: | Copyright © 2009 IEEE Computer Society |
First Published: | First published in IEEE Transactions on Geoscience and Remote Sensing 47(9):3220-3230 |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher. |
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