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Author:

Bai, Zechao (Bai, Zechao.) | Wang, Yanping (Wang, Yanping.) | Li, Mengwei (Li, Mengwei.) | Sun, Ying (Sun, Ying.) | Zhang, Xuedong (Zhang, Xuedong.) | Wu, Yewei (Wu, Yewei.) | Li, Yang (Li, Yang.) | Li, Dan (Li, Dan.)

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EI

Abstract:

Global sea level rise is a major environmental concern for many countries and cities, particularly for low-lying coastal areas where urban development is threatened by the combined effects of sea level rise and land subsidence. This study employed an improved two-layer network Persistent Scatterers Interferometric Synthetic Aperture Radar (PS-InSAR) technology to obtain high-precision land subsidence in Singapore from 2015 to 2019. Landsat images from 1973 to 2020 were also utilized to extract changes in Singapore’s coastline. Geological, topographical, and global sea level rise data were integrated to investigate the causes and impacts of land subsidence in Singapore. The results indicate that the areas with severe subsidence coincide with land reclamation areas, where subsidence is mainly due to soil consolidation. Based on WorldDEM, land subsidence, and sea level rise data, the maximum inundation depth in Singapore by 2050 is estimated to be 1.24 m, with the Marina Bay area in Singapore’s central business district being the most vulnerable to sea level rise. This study provides data support and a scientific basis for understanding the impact of land subsidence on Singapore’s coastal areas under the influence of multiple factors using advanced InSAR technology. © 2023 by the authors.

Keyword:

Synthetic aperture radar Land reclamation Urban growth Subsidence Reclamation Network layers Coastal zones Soil moisture Sea level Land use

Author Community:

  • [ 1 ] [Bai, Zechao]School of Electrical and Control Engineering, North China University of Technology, Beijing; 100144, China
  • [ 2 ] [Bai, Zechao]Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing; 100144, China
  • [ 3 ] [Wang, Yanping]Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing; 100144, China
  • [ 4 ] [Li, Mengwei]School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing; 102627, China
  • [ 5 ] [Sun, Ying]International Research Center of Big Data for Sustainable Development Goals (CBAS), Beijing; 100094, China
  • [ 6 ] [Sun, Ying]Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing; 100094, China
  • [ 7 ] [Zhang, Xuedong]School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing; 102627, China
  • [ 8 ] [Wu, Yewei]Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing; 100094, China
  • [ 9 ] [Li, Yang]Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing; 100144, China
  • [ 10 ] [Li, Dan]Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing; 100144, China

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Source :

Remote Sensing

Year: 2023

Issue: 9

Volume: 15

5 . 0 0 0

JCR@2022

ESI Discipline: GEOSCIENCES;

ESI HC Threshold:14

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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