File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Book Chapter: Surface deformation mapping with persistent scatterer radar interferometry

TitleSurface deformation mapping with persistent scatterer radar interferometry
Authors
Issue Date2012
Citation
Surface deformation mapping with persistent scatterer radar interferometry. In Yang, X and Li, J (Eds), Advances in Mapping from Remote Sensor Imagery: Techniques and Applications, p. 329-360. Boca Raton : CRC Press, 2012 How to Cite?
Abstract© 2013 by Taylor & Francis Group, LLC. Surface deformation resulting from anthropic activities or crustal motion is a major concern for land use planning and engineering risk assessment. Spaceborne interferometric synthetic aperture radar (InSAR) has evolved in the past decades as a unique tool for quantitative measurements of regional deformation with large coverage and a high accuracy of centimeters to millimeters. To mitigate the technical limitations of InSAR, persistent scatterer InSAR (PSI) techniques have been proposed in recent years to extract deformation signals from a set of interferograms and to estimate the atmospheric phase screen and digital elevation model (DEM) errors. In this chapter, we first review the basic concepts and principles related to PSI. We then present the mathematical models and the data reduction procedures of the PSI methodologies that have been developed by our research group for regional deformation detection. The experimental results derived by the two approaches using the European Remote Sensing (ERS)-1/2 SAR imagery are also reported for mapping spatiotemporal deformation over the two study areas: Phoenix, Arizona, and the Los Angeles basin, California, in the United States.
Persistent Identifierhttp://hdl.handle.net/10722/266851
ISBN

 

DC FieldValueLanguage
dc.contributor.authorLiu, Guoxiang-
dc.contributor.authorZhang, Lei-
dc.contributor.authorDing, Xiaoli-
dc.contributor.authorChen, Qiang-
dc.contributor.authorLuo, Xiaojun-
dc.contributor.authorCai, Guolin-
dc.date.accessioned2019-01-31T07:19:48Z-
dc.date.available2019-01-31T07:19:48Z-
dc.date.issued2012-
dc.identifier.citationSurface deformation mapping with persistent scatterer radar interferometry. In Yang, X and Li, J (Eds), Advances in Mapping from Remote Sensor Imagery: Techniques and Applications, p. 329-360. Boca Raton : CRC Press, 2012-
dc.identifier.isbn9781138072947-
dc.identifier.urihttp://hdl.handle.net/10722/266851-
dc.description.abstract© 2013 by Taylor & Francis Group, LLC. Surface deformation resulting from anthropic activities or crustal motion is a major concern for land use planning and engineering risk assessment. Spaceborne interferometric synthetic aperture radar (InSAR) has evolved in the past decades as a unique tool for quantitative measurements of regional deformation with large coverage and a high accuracy of centimeters to millimeters. To mitigate the technical limitations of InSAR, persistent scatterer InSAR (PSI) techniques have been proposed in recent years to extract deformation signals from a set of interferograms and to estimate the atmospheric phase screen and digital elevation model (DEM) errors. In this chapter, we first review the basic concepts and principles related to PSI. We then present the mathematical models and the data reduction procedures of the PSI methodologies that have been developed by our research group for regional deformation detection. The experimental results derived by the two approaches using the European Remote Sensing (ERS)-1/2 SAR imagery are also reported for mapping spatiotemporal deformation over the two study areas: Phoenix, Arizona, and the Los Angeles basin, California, in the United States.-
dc.languageeng-
dc.relation.ispartofAdvances in Mapping from Remote Sensor Imagery: Techniques and Applications-
dc.titleSurface deformation mapping with persistent scatterer radar interferometry-
dc.typeBook_Chapter-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1201/b13770-
dc.identifier.scopuseid_2-s2.0-85054730937-
dc.identifier.spage329-
dc.identifier.epage360-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats