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

被引:17
作者
Duffy, C. Elizabeth [1 ]
Braun, Andreas [1 ]
Hochschild, Volker [1 ]
机构
[1] Univ Tubingen, Inst Geog, D-72074 Tubingen, Germany
关键词
subsidence; Sentinel-1; persistent scatterer; interferometrics; PSI; Ho Chi Minh City; megacity; vertical displacement; APAC; LAND SUBSIDENCE; GROUNDWATER EXTRACTION; INTERFEROMETRY; VIETNAM; UPLIFT; RISK; ALOS;
D O I
10.3390/rs12244130
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:1 / 20
页数:20
相关论文
共 64 条
[1]   Application of remote sensing and GIS-based hydrological modelling for flood risk analysis: a case study of District 8, Ho Chi Minh city, Vietnam [J].
An Thi Ngoc Dang ;
Kumar, Lalit .
GEOMATICS NATURAL HAZARDS & RISK, 2017, 8 (02) :1792-1811
[2]  
Angel S., 2016, AREAS DENSITIES
[3]  
[Anonymous], CLIM CHANG 2013 PHYS
[4]  
Bangalore M., 2016, WPS7765 WORLD BANK G
[5]   Statistical comparison of InSAR tropospheric correction techniques [J].
Bekaert, D. P. S. ;
Walters, R. J. ;
Wright, T. J. ;
Hooper, A. J. ;
Parker, D. J. .
REMOTE SENSING OF ENVIRONMENT, 2015, 170 :40-47
[6]   Ground Subsidence Susceptibility (GSS) Mapping in Grosseto Plain (Tuscany, Italy) Based on Satellite InSAR Data Using Frequency Ratio and Fuzzy Logic [J].
Bianchini, Silvia ;
Solari, Lorenzo ;
Del Soldato, Matteo ;
Raspini, Federico ;
Montalti, Roberto ;
Ciampalini, Andrea ;
Casagli, Nicola .
REMOTE SENSING, 2019, 11 (17)
[7]  
Blate G., 2009, The greater Mekong and climate change: biodiversity, ecosystem services and development at risk
[8]  
Braun Andreas, 2020, Journal of Vietnamese Environment, V12, P1, DOI 10.13141/jve.vol12
[9]  
Calkins H, 2017, J ARRYTHM, V33, P369, DOI 10.1016/j.joa.2017.08.001
[10]   Phase unwrapping for large SAR interferograms: Statistical segmentation and generalized network models [J].
Chen, CW ;
Zebker, HA .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (08) :1709-1719