Ground Subsidence Study of Barisal City and Surrounding Areas Using InSAR for Sustainable Urban Planning
DOI:
https://doi.org/10.64862/Keywords:
Ascending, Descending, Deformation, InSAR, PSI, Sentinel-1Abstract
Barisal is a large important city in the south-middle part of Bangladesh which is expanding rapidly. Geologically, it comprises of Recent Flood Plain deposits composed of mixture of un-consolidated sand, silt and clay sediments. This research work is carried out based on RADAR InSAR to estimate vertical ground motion of Barisal City. Persistent Scatterer Interferometry (PSI) method is a multi-temporal InSAR technique for the measurement of terrain movement has been used for the present study. The goal of this analysis is to assess vertical ground motion of the study area and discuss the results in the context of the local geology and geomorphology. There are 239 ascending and descending Sentinel-1 satellite images, covering the period from 2014 to 2020 have been used for analyses. The PSI result shows that the ground motion of the study area ranges from -24.17 mm/year to + 5.63 mm/year, having a mean value of -1.66 mm/year. The negative mean value indicates that the overall trend of vertical motion of the area is slow ground subsidence. These results and geo-factors are very important to consider for geologic conditions like Bangladesh for future sustainable development and urban expansion planning.
References
Cao, Y., Wei, Y., Fan, W., Peng, M., and Bao, L. (2020). Experimental study of land subsidence in response to groundwater withdrawal and recharge in Changping District of Beijing. PLOS ONE, 15 (5), e0232828. https://doi.org/10.1371/journal.pone.0232828
Dai, Y., Ng, A., Wang, H., Li, L., Ge, L., and Tao, T. (2020). Modeling-Assisted InSAR phase-unwrapping method for mapping mine subsidence. IEEE Geoscience and Remote Sensing Letters, PP, 1–5. https://doi.org/10.1109/LGRS.2020.2991687
Huat, B., Prasad, A., Asadi, A., and Kazemian, S. (2014). Geotechnics of organic soils and peat. ISBN 9780429220593. https://doi.org/10.1201/b15627
Ng, A., Liu, Z., Du, Z., Huang, H., Wang, H., and Ge, L. (2023). A novel framework for combining polarimetric Sentinel-1 InSAR time series in subsidence monitoring: A case study of Sydney. Remote Sensing of Environment, 295, 113694. https://doi.org/10.1016/j.rse.2023.113694
Zhou, C., Gong, H., Chen, B., Li, J., Gao, M., Zhu, F., Chen, W., and Liang, Y. (2017). InSAR time-series analysis of land subsidence under different land use types in the Eastern Beijing Plain, China. Remote Sensing, 9, 380. https://doi.org/10.3390/rs9040380
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