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Mekong SAR Interferometry Big Data: Preliminary Results

Abstract : 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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https://hal.inrae.fr/hal-03322481
Contributor : Isabelle Nault <>
Submitted on : Thursday, August 19, 2021 - 11:13:57 AM
Last modification on : Tuesday, September 7, 2021 - 3:44:42 PM

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Dinh Ho Tong Minh, T.-C. Le, Y.-N. Ngo, C.-C. Nguyen, T.-A. Pham, et al.. Mekong SAR Interferometry Big Data: Preliminary Results. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. pp.385-388, ⟨10.1109/IGARSS39084.2020.9324558⟩. ⟨hal-03322481⟩

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