Measuring ground subsidence in Ha Noi through the radar interferometry technique using terrasar-x and cosmos skymed data
In: ISSN: 1939-1404 ; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ; https://hal.inrae.fr/hal-02610304 ; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12 (10), pp.3874-3884. ⟨10.1109/JSTARS.2019.2937398⟩, 2019
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[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOS ; International audience ; Multitemporal synthetic aperture radar (SAR) interferometry (InSAR) is a widely used technique to measure the ground subsidence and has already shown its ability to map such phenomena on a large spatial scale with millimetric accuracy from space. In Vietnam, to have independent SAR data for surface risk applications, a new X-band SAR mission (JV-LOTUSat) has been scheduled for launch for the 2019-2020 timeframe. However, Vietnam is located in tropical regions where their conditions are impacted by strong atmosphere. The aim of this article is to provide a better understanding of the capabilities of the X-band for estimating the ground subsidence under tropical atmospheric conditions. Analysis is carried out on two stacks, TerraSAR-X and Cosmos SkyMed X-band, from 2011 to 2014 in Ha Noi. We show that the results on the ground subsidence from InSAR processing can describe consistently the subsidence area based on ground measurements. This article demonstrates that the InSAR technique can be effective at detecting and estimating the subsidence phenomena even with the X-band and under conditions typical of tropical regions. The displacement results from TerraSAR-X and Cosmos SkyMed datasets are consistent, with a correlation coefficient (R2) of 0.91 for the period during which their coverage overlaps. Groundwater overexploitation is one of the main causes of the ground subsidence in Ha Noi. This study provides strong support for the scientific potential of the X-band SAR space-borne mission in Vietnam and other tropical countries because it demonstrates the feasibility of the ground subsidence estimates by the X-band SAR, even in conditions impacted by strong atmosphere.
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Measuring ground subsidence in Ha Noi through the radar interferometry technique using terrasar-x and cosmos skymed data
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Autor/in / Beteiligte Person: | Minh, D.H.T. ; Tran, Q.C. ; Pham, Q.N. ; Dang, T.T. ; Nguyen, D.A. ; El Moussawi, I. ; Le Toan, Thuy ; Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS) ; Vietnam Academy of Science and Technology (VAST) ; Vietnam National University Hanoï (VNU) ; NATIONAL CENTER FOR WATER RESOURCES PLANNING AND INVESTIGATION HA NOI, VNM ; Partenaires, IRSTEA ; Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) ; Centre d'études spatiales de la biosphère (CESBIO) ; Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) ; Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) ; Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
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Zeitschrift: | ISSN: 1939-1404 ; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ; https://hal.inrae.fr/hal-02610304 ; IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12 (10), pp.3874-3884. ⟨10.1109/JSTARS.2019.2937398⟩, 2019 |
Veröffentlichung: | HAL CCSD ; IEEE, 2019 |
Medientyp: | academicJournal |
DOI: | 10.1109/JSTARS.2019.2937398 |
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