Mekong SAR Interferometry Big Data: Preliminary Results
2020
Tong Minh, Dinh Ho | Le, T.-C. | Ngo, Y.-N. | Nguyen, C.-C. | Pham, T.-A. | Le Toan, Thuy | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Faculty of Chemical Engineering [Vietnam National University, HCM] ; Ho Chi Minh City University of Technology [Vietnam National University, HCM] (HCMUT) ; Vietnam National University, Ho Chi Minh City / Đại học Quốc gia TP. Hồ Chí Minh (VNU-HCM)-Vietnam National University, Ho Chi Minh City / Đại học Quốc gia TP. Hồ Chí Minh (VNU-HCM) | Centre d'études spatiales de la biosphère (CESBIO) ; Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) ; Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Communauté d'universités et établissements de Toulouse (Comue de Toulouse)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | CNES (TOSCA project FloopScape) | CARE project
International audience
Mostrar más [+] Menos [-]Inglés. The Mekong delta is inhabited by more than 20 million people in Vietnam and is highly vulnerable to the additive effects of land subsidence and sea-level rise due to global climate change. To cover Delta-wide from 2015-2020, there are 250 multi-temporal SAR Sentinel-1 images, where each scene is stored in complex values with about 14 GB memory data. To do interferometry processing, we need to be able to intelligently handle ensemble 250x14 GB data. Thus, although Sentinel-1 Big Data offers the best opportunity for land subsidence monitoring, it is challenge due to an unprecedented big volume of multi-temporal InSAR dataset. In this paper, the objective is to provide a discuss on a feasible method to handle the Delta-wide land subsidence by TOPS interferometry.
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