Monitoring and analyzing land subsidence in Qinfang, Guangxi based on Sentinel-1A data

doi:10.6046/zrzyyg.2022370

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Abstract

This study aims to lay the scientific foundation for regional disaster prediction, prevention, and control, as well as urban planning, by analyzing the spatio-temporal distribution, evolutionary patterns, and driving factors of land subsidence in the Qinfang area, Guangxi Province, China. Using the small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) technique, this study extracted information on land subsidence in the study area during 2018—2021 from 45 scenes of Sentinel-1A SAR images. By combining the geological setting, precipitation, land use, and road data and using methods such as GIS spatial analysis, mathematical statistics, remote sensing image classification, and change detection, this study conducted visual and quantitative analyses of the overall characteristics, spatio-temporal evolutionary trends, and influencing factors of land subsidence in the study area. The results show that: ① In the spatial dimension, the ground deformations, at rates ranging from -114.37 to 58.55 mm/a within the study area, exhibited extensive but significantly nonuniform distributions during 2018—2021. Consequently, three primary subsidence centers emerged in the central and southern urban areas of Qinnan District, Qinzhou Port, and the port area, with subsidence areas expanding southward annually; ② In the temporal dimension, the subsidence centers displayed an overall uneven subsidence trend over time. Besides, they exhibited periodic rebounds, with a maximum rebound amplitude of 18.4 mm; ③ In terms of influencing factors, primary factors causing land subsidence in the study area included urbanization, road density, tectonic movement, stratigraphy, precipitation, and sea level rise, which play a predominant role in the expansion and intensification of land subsidence.

Keywords land subsidence InSAR Sentinel-1A coastal cities along the Beibu Gulf Qinfang area time series analysis

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Issue Date: 13 March 2024

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	Xiaoyong MING
	Yichao TIAN
	Qiang ZHANG
	Jin TAO
	Yali ZHANG
	Junliang LIN

Cite this article:

Xiaoyong MING,Yichao TIAN,Qiang ZHANG, et al. Monitoring and analyzing land subsidence in Qinfang, Guangxi based on Sentinel-1A data[J]. Remote Sensing for Natural Resources, 2024, 36(1): 35-48.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022370 OR https://www.gtzyyg.com/EN/Y2024/V36/I1/35

Fig.1 Geographical location of the study area

Fig.2 Technical processing flow

Fig.3 Differential interference baseline diagram

Fig.4 Cumulative surface subsidence of the study area during 2018 to 2021

Tab.1 Statistical results of annual average deformation rate in the study area from 2018 to 2021

Fig.5 Time series analysis of subsidence center area in the study area during 2018 to 2021

Fig.6 Box plot of annual cumulative subsidence changes in the study area during 2018 to 2021

Fig.7 Ground deformation profiles in different areas of the study area

Fig.8 Field verification photos of the study area

Fig.9 Changes in land use in the study area during 2018 to 2021

Fig.10 Relationship between land use change and subsidence in Qinzhou Port

Fig.11 Comparison of road network density and settlement

Fig.12 Geological structure map of the study area

Fig.13 Rock and soil mass type and hydrogeological profile in the study area

Fig.14 Relation between the settlement time sequence of different point targets and their monthly precipitation

Fig.15 Settlement time series of the bathing area and deformation model of longmengang town

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