Mekong SAR Interferometry Big Data: Preliminary Results

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 sto...

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Bibliographic Details
Main Authors: Tong Minh, D. Ho, Le, T.-C., Ngo, Y.-N., Nguyen, C.-C., Pham, T.-A., Toan, T. Le
Format: Conference Proceeding
Language:English
Subjects:
Big Data
Climate change
Coherence
Extraterrestrial measurements
Ground subsidence
Mekong Delta
multi-temporal InSAR
PS/DS processing
Radar polarimetry
Random access memory
Remote sensing
Sea measurements
Sentinel-1
TomoSAR platform
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Summary: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 250× 14 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.
ISSN:2153-7003
DOI:10.1109/IGARSS39084.2020.9324558