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Synopsis
Three Gorges Project (TGP), the largest hydroelectric project in the world, is one of the most significant constructions in China. Since the TGP greatly changed the natural terrain of the upriver gorges, the regular surveys over this region with the earth observation images are highly needed. The multi-image InSAR analysis has proven to be a very capable and effective technique for obtaining precise elevation and displacement measures of the detected targets. In this work, more than one hundred InSAR images have been processed to measure and analyse the topography and deformation over the Three Gorges Region. By exploiting single interferograms with the facilitations from external topography data, reliable Digital Elevation Model (DEM) have been generalized and an approximate temporal coherence map can be extracted with the detected point-like targets. On the other hand, with different time series InSAR analysis methods, i.e. Permanent Scatterer (PS), Stanford Method for Persistent Scatterers (StaMPS) and Quasi-PS (QPS) techniques, we are able to monitor the slow landslides and the stability of the Dam around this region.
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About the Author
Teng Wang, PhD: Studied Remote Sensing at Wuhan University and Politecnico di Milano. Post-doctoral Fellow, King Abdullah University of Science and Technology, Kingdom of Saudi Arabia. Mingsheng Liao: Professor, Wuhan University. Fabio Rocca: Professor, Politecnico di Milano.
Teng Wang, PhD: Studied Remote Sensing at Wuhan University and Politecnico di Milano. Post-doctoral Fellow, King Abdullah University of Science and Technology, Kingdom of Saudi Arabia. Mingsheng Liao: Professor, Wuhan University. Fabio Rocca: Professor, Politecnico di Milano.
Teng Wang, PhD: Studied Remote Sensing at Wuhan University and Politecnico di Milano. Post-doctoral Fellow, King Abdullah University of Science and Technology, Kingdom of Saudi Arabia. Mingsheng Liao: Professor, Wuhan University. Fabio Rocca: Professor, Politecnico di Milano.
"About this title" may belong to another edition of this title.
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Time Series InSAR Analysis over Three Gorges Region
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Wang TengTeng Wang, PhD: Studied Remote Sensing at Wuhan University and Politecnico di Milano. Post-doctoral Fellow, King Abdullah University of Science and Technology, Kingdom of Saudi Arabia. Mingsheng Liao: Professor, Wuhan Uni. Seller Inventory # 4973603
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Time Series InSAR Analysis over Three Gorges Region : Techniques and Applications
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Three Gorges Project (TGP), the largest hydroelectric project in the world, is one of the most significant constructions in China. Since the TGP greatly changed the natural terrain of the upriver gorges, the regular surveys over this region with the earth observation images are highly needed. The multi-image InSAR analysis has proven to be a very capable and effective technique for obtaining precise elevation and displacement measures of the detected targets. In this work, more than one hundred InSAR images have been processed to measure and analyse the topography and deformation over the Three Gorges Region. By exploiting single interferograms with the facilitations from external topography data, reliable Digital Elevation Model (DEM) have been generalized and an approximate temporal coherence map can be extracted with the detected point-like targets. On the other hand, with different time series InSAR analysis methods, i.e. Permanent Scatterer (PS), Stanford Method for Persistent Scatterers (StaMPS) and Quasi-PS (QPS) techniques, we are able to monitor the slow landslides and the stability of the Dam around this region. Seller Inventory # 9783639280029
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Time Series InSAR Analysis over Three Gorges Region | Techniques and Applications
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Taschenbuch. Condition: Neu. Time Series InSAR Analysis over Three Gorges Region | Techniques and Applications | Teng Wang (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639280029 | Verantwortliche Person für die EU: VDM Verlag Dr. Müller, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 107335919
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