High-Resolution Monitoring and Driving Factor Analysis of Long-Term Surface Deformation in the Linfen-Yuncheng Basin
Open Access
- 25 October 2025
- journal article
- research article
- Published by MDPI AG in Remote Sensing
- Vol. 17 (21) , 3536
Abstract
The comprehensive, accurate, and rapid acquisition of large-scale surface deformation using Interferometric Synthetic Aperture Radar (InSAR) technology provides crucial information support for regional eco-geological safety assessments and the rational development and utilization of groundwater resources. The Linfen-Yuncheng Basin in Shanxi Province is one of China’s historically most frequented regions for geological hazards in plain areas, such as land subsidence and ground fissures. This study employed the coherent point targets based Small Baseline Subset (SBAS) time-series InSAR technique to interpret a dataset of 224 scenes of 5 m resolution RADARSAT-2 satellite SAR images acquired from January 2017 to May 2024. This enabled the acquisition of high-resolution spatiotemporal characteristics of surface deformation in the Linfen-Yuncheng Basin during the monitoring period. The results show that the area with a deformation rate exceeding 5 mm/a in the study area accounts for 12.3% of the total area, among which the subsidence area accounts for 11.1% and the uplift area accounts for 1.2%, indicating that the overall surface is relatively stable. There are four relatively significant local subsidence areas in the study area. The total area with a rate exceeding 30 mm/a is 41.12 km2, and the maximum cumulative subsidence is close to 810 mm. By combining high-resolution satellite images and field survey data, it is found that the causes of the four subsidence areas are all the extraction of groundwater for production, living, and agricultural irrigation. This conclusion is further confirmed by comparing the InSAR monitoring results with the groundwater level data of monitoring wells. In addition, on-site investigations reveal that there is a mutually promoting and spatially symbiotic relationship between land subsidence and ground fissures in the study area. The non-uniform subsidence areas monitored by InSAR show significant ground fissure activity characteristics. The InSAR monitoring results can be used to guide the identification and analysis of ground fissure disasters. This study also finds that due to the implementation of surface water supply projects, the demand for groundwater in the study area has been continuously decreasing. The problem of ground water over-extraction has been gradually alleviated, which in turn promotes the continuous recovery of the groundwater level and reduces the development intensity of land subsidence and ground fissures.Keywords
Funding Information
- Chinese Academy of Sciences (E2H2010402)
This publication has 31 references indexed in Scilit:
- State-of-the-Art Status of Google Earth Engine (GEE) Application in Land and Water Resource Management: A Scientometric AnalysisJournal of Geovisualization and Spatial Analysis, 2025
- Landslide susceptibility assessment of the Wanzhou district: Merging landslide susceptibility modelling (LSM) with InSAR-derived ground deformation mapInternational Journal of Applied Earth Observation and Geoinformation, 2025
- Characteristics and mechanisms for origin of earth fissures in Fenwei basin, ChinaEngineering Geology, 2020
- A review on land subsidence caused by groundwater withdrawal in Xi’an, ChinaBulletin of Engineering Geology and the Environment, 2018
- Land subsidence and ground fissures in Xi'an, China 2005–2012 revealed by multi-band InSAR time-series analysisRemote Sensing of Environment, 2014
- Discussion on Geological Hazards Caused by Exploitation of Deep Groundwater in North China2014
- Holocene slip rate and paleoearthquake records of the Salt Lake segment of the Northern Zhongtiaoshan Fault, Shanxi ProvinceScience China Earth Sciences, 2014
- Persistent Scatterer InSAR: A comparison of methodologies based on a model of temporal deformation vs. spatial correlation selection criteriaRemote Sensing of Environment, 2011
- Monitoring of post-failure landslide deformation by the PS-InSAR technique at Lubietova in Central SlovakiaEnvironmental Earth Sciences, 2011
- Surface deformation of Long Valley caldera and Mono Basin, California, investigated with the SBAS-InSAR approachRemote Sensing of Environment, 2007