[Spatial-temporal evolution characterization of land subsidence by multi-temporal InSAR method and GIS technology]

Area of Science:

• Geodesy and Remote Sensing
• Geoinformatics
• Environmental Science

Context:

• Regional land subsidence is a growing concern due to increased resource extraction and static/dynamic loads.
• Beijing's plain area faces challenges from long-term underground resource over-exploitation.
• Urban development and land utilization patterns significantly impact subsidence dynamics.

Purpose:

• To monitor and analyze regional land subsidence in Beijing using advanced remote sensing techniques.
• To investigate the relationship between complex spatial development and uneven land settlement patterns.
• To understand the time-series evolution characteristics of uneven settlement.

Summary:

• Utilized multi-temporal Interferometric Synthetic Aperture Radar (InSAR) with Persistent Scatterer (PS) and Small Baseline (SB) approaches on 29 Envisat ASAR images.
• Analyzed five typical settlement areas using land-use, multi-spectral imagery, geological data, and Geographic Information System (GIS) spatial analysis.
• Found that complex spatial development and utilization situations influence uneven settlement trends, with simpler development correlating to smaller settlement gradients.

Impact:

• Provides crucial data for understanding and mitigating land subsidence in urban environments.
• Highlights the role of urban planning and resource management in controlling subsidence.
• Offers a methodology for analyzing uneven settlement patterns in other subsidence-prone regions.