Surface Subsidence in Urbanized Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh City

In Ho Chi Minh City (HCMC), Vietnam, though at present flooding is merely a recurring nuisance, there is increasing concern that a combination of impending climate change and rapid urbanization will significantly exacerbate the situation. Given the significant measures taken in HCMC to reduce ground...

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Main Authors: C. Elizabeth Duffy, Andreas Braun, Volker Hochschild
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
PSI
Online Access:https://www.mdpi.com/2072-4292/12/24/4130
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spelling doaj-eb7e53ff2d8043cebd6462b180975c5d2020-12-18T00:02:55ZengMDPI AGRemote Sensing2072-42922020-12-01124130413010.3390/rs12244130Surface Subsidence in Urbanized Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh CityC. Elizabeth Duffy0Andreas Braun1Volker Hochschild2Institute of Geography, University of Tübingen, 72074 Tübingen, GermanyInstitute of Geography, University of Tübingen, 72074 Tübingen, GermanyInstitute of Geography, University of Tübingen, 72074 Tübingen, GermanyIn Ho Chi Minh City (HCMC), Vietnam, though at present flooding is merely a recurring nuisance, there is increasing concern that a combination of impending climate change and rapid urbanization will significantly exacerbate the situation. Given the significant measures taken in HCMC to reduce groundwater extraction and sea-level rise (SLR) inundation since the most recent subsidence studies, we aim to update and contribute to the subsidence information of HCMC with continuous temporal coverage from 2017 to 2019. In this study, we use Persistent Scatterer Interferometry (PSI) with Copernicus Sentinel-1 data and open source tools to determine current subsidence rates within the urban center of HCMC. Additionally, the scalability of this method and use of freely accessible data allows for continuous updating and monitoring of this high-vulnerability region. The observed average subsidence rates were 3.3 mm per year with a maximum local subsidence of 5.3 cm per year. These results largely align with findings of previous studies and reflect similar spatial distributed subsidence patterns. Inundation risk awareness is enhanced by not only continued improved subsidence analysis, but also incorporating latest advancements in Digital Elevation Model (DEM) accuracy. This study compares local differences between traditionally used AW3D30 DEM with the CoastalDEM. Our findings indicate that although we identify lower than previously accepted elevations in the urban core, that stabilization of subsidence is observed in this same region.https://www.mdpi.com/2072-4292/12/24/4130subsidenceSentinel-1persistent scattererinterferometricsPSIHo Chi Minh City
collection DOAJ
language English
format Article
sources DOAJ
author C. Elizabeth Duffy
Andreas Braun
Volker Hochschild
spellingShingle C. Elizabeth Duffy
Andreas Braun
Volker Hochschild
Surface Subsidence in Urbanized Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh City
Remote Sensing
subsidence
Sentinel-1
persistent scatterer
interferometrics
PSI
Ho Chi Minh City
author_facet C. Elizabeth Duffy
Andreas Braun
Volker Hochschild
author_sort C. Elizabeth Duffy
title Surface Subsidence in Urbanized Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh City
title_short Surface Subsidence in Urbanized Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh City
title_full Surface Subsidence in Urbanized Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh City
title_fullStr Surface Subsidence in Urbanized Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh City
title_full_unstemmed Surface Subsidence in Urbanized Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh City
title_sort surface subsidence in urbanized coastal areas: psi methods based on sentinel-1 for ho chi minh city
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2020-12-01
description In Ho Chi Minh City (HCMC), Vietnam, though at present flooding is merely a recurring nuisance, there is increasing concern that a combination of impending climate change and rapid urbanization will significantly exacerbate the situation. Given the significant measures taken in HCMC to reduce groundwater extraction and sea-level rise (SLR) inundation since the most recent subsidence studies, we aim to update and contribute to the subsidence information of HCMC with continuous temporal coverage from 2017 to 2019. In this study, we use Persistent Scatterer Interferometry (PSI) with Copernicus Sentinel-1 data and open source tools to determine current subsidence rates within the urban center of HCMC. Additionally, the scalability of this method and use of freely accessible data allows for continuous updating and monitoring of this high-vulnerability region. The observed average subsidence rates were 3.3 mm per year with a maximum local subsidence of 5.3 cm per year. These results largely align with findings of previous studies and reflect similar spatial distributed subsidence patterns. Inundation risk awareness is enhanced by not only continued improved subsidence analysis, but also incorporating latest advancements in Digital Elevation Model (DEM) accuracy. This study compares local differences between traditionally used AW3D30 DEM with the CoastalDEM. Our findings indicate that although we identify lower than previously accepted elevations in the urban core, that stabilization of subsidence is observed in this same region.
topic subsidence
Sentinel-1
persistent scatterer
interferometrics
PSI
Ho Chi Minh City
url https://www.mdpi.com/2072-4292/12/24/4130
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AT andreasbraun surfacesubsidenceinurbanizedcoastalareaspsimethodsbasedonsentinel1forhochiminhcity
AT volkerhochschild surfacesubsidenceinurbanizedcoastalareaspsimethodsbasedonsentinel1forhochiminhcity
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