Abstract

Karachi is located in the southern part of Pakistan along the Arabian Sea coast. Relevant institutions are concerned about the possibility of ground subsidence in the city, contributing to the comparative sea-level rise. So yet, no direct measurement of the subsidence rate and its relation to city submergence danger has been made. SAR (Synthetic Aperture Radar) interferometry is a powerful method for obtaining millimeter-accurate surface displacement measurements. The Sentinel-1 satellite data provide extensive geographical coverage, regular acquisitions, and open access. This research used the persistent scatterer interferometry synthetic aperture radar (PS-InSAR) technology with Sentinel-1 SAR images to monitor ground subsidence in Karachi, Pakistan. The SARPROZ software was used to analyze a series of Sentinel-1A images taken from November 2019 to December 2020 along ascending and descending orbit paths to assess land subsidence in Karachi. The cumulative deformation in Line of Sight (LOS) ranged from − 68.91 to 76.06 mm/year, whereas the vertical deformation in LOS ranged from − 67.66 to 74.68 mm/year. The data reveal a considerable rise in subsidence from 2019 to 2020. The general pattern of subsidence indicated very high values in the city center, whereas locations outside the city center saw minimal subsidence. Overall, the proposed technique effectively maps, identifies, and monitors land areas susceptible to subsidence. This will allow for more efficient planning, construction of surface infrastructure, and control of subsidence-induced risks.

Details

Title
Sentinel-1A for monitoring land subsidence of coastal city of Pakistan using Persistent Scatterers In-SAR technique
Author
Hussain Muhammad Afaq 1 ; Chen Zhanlong 1 ; Shoaib Muhammad 2 ; Shah, Safeer Ullah 3 ; Khan, Junaid 4 ; Zheng, Ying 1 

 China University of Geosciences (Wuhan), School of Geography and Information Engineering, Wuhan, China (GRID:grid.503241.1) (ISNI:0000 0004 1760 9015) 
 Tianjin University, State Key Laboratory of Hydraulic Engineering Simulation and Safety, School of Civil Engineering, Tianjin, China (GRID:grid.33763.32) (ISNI:0000 0004 1761 2484) 
 Ministry of Climate Change, Government of Pakistan, Islamabad, Pakistan (GRID:grid.484191.1) (ISNI:0000 0004 0433 7882) 
 China University of Geosciences (Wuhan), School of Engineering, Wuhan, China (GRID:grid.503241.1) (ISNI:0000 0004 1760 9015) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2644714997
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.