the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Detection of Land Subsidence due to Excessive Groundwater Use Varying with Different Land Cover Types in Quetta valley, Pakistan Using ESA-Sentinel Satellite Data
Abstract. In this study, we show that land subsidence in Quetta valley, Pakistan is caused by exploitation of groundwater based on the analysis of European Space Agency (ESA) Sentinel satellite data. For this, we performed interferometry analysis using twenty nine Sentinel-1 SAR images to obtain twenty eight interferograms of land subsidence for the period between 16 Oct 2014 and 06 Oct 2016. Then, the land subsidence was compared with the land cover of the study area that was derived from Sentienl-2 multispectral images. The results reveal that, for the period of two years, the entire study area experienced highly uneven land subsidence with its magnitude ranging between 10 mm to 280 mm. The spatial pattern of land subsidence showed a high correlation with that of land covers. While urban and cultivated area with high groundwater extraction showed great amount of land subsidence, barren and seasonally cultivated area did not show as much land subsidence.
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- RC1: 'Reviewer comments below', Anonymous Referee #1, 22 Jul 2017
- RC2: 'comments', Anonymous Referee #2, 15 Aug 2017
- RC3: 'Comments to Detection of Land Subsidence due to Excessive Groundwater Use Varying with Different Land Cover Types in Quetta valley, Pakistan Using ESA- 2 Sentinel Satellite Data', Anonymous Referee #3, 20 Aug 2017
- AC1: 'Authors' Response to Comments Attached', Dongkyun Kim, 23 Sep 2017
- RC1: 'Reviewer comments below', Anonymous Referee #1, 22 Jul 2017
- RC2: 'comments', Anonymous Referee #2, 15 Aug 2017
- RC3: 'Comments to Detection of Land Subsidence due to Excessive Groundwater Use Varying with Different Land Cover Types in Quetta valley, Pakistan Using ESA- 2 Sentinel Satellite Data', Anonymous Referee #3, 20 Aug 2017
- AC1: 'Authors' Response to Comments Attached', Dongkyun Kim, 23 Sep 2017
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Cited
4 citations as recorded by crossref.
- Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods D. Li et al. 10.3390/app10165514
- A Data-Adaptive EOF-Based Method for Displacement Signal Retrieval From InSAR Displacement Measurement Time Series for Decorrelating Targets R. Prebet et al. 10.1109/TGRS.2019.2902719
- Assessment of subsidence phenomena for the Thatta, Jamshoro Districts, Southern Pakistan M. Sultan et al. 10.1007/s12517-020-06287-6
- Detecting Land Subsidence Due to Groundwater Withdrawal in Aliabad Plain, Iran, Using ESA Sentinel-1 Satellite Data A. Edalat et al. 10.1007/s11053-019-09546-w