Fast InSAR Time-Series Analysis Method in a Full-Resolution SAR Coordinate System: A Case Study of the Yellow River Delta

Huizhi Duan, Yongsheng Li (), Bingquan Li and Hao Li
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Huizhi Duan: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Yongsheng Li: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China
Bingquan Li: School of Automation, China University of Geoscience, Wuhan 430074, China
Hao Li: National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, China

Sustainability, 2022, vol. 14, issue 17, 1-20

Abstract: Ground deformation is a major determinant of delta sustainability. Sentinel-1 Terrain Observation by Progressive Scans (TOPS) data are widely used in interferometric synthetic aperture radar (InSAR) applications to monitor ground subsidence. Due to the unparalleled mapping coverage and considerable data volume requirements, high-performance computing resources including graphics processing units (GPUs) are employed in state-of-the-art methodologies. This paper presents a fast InSAR time-series processing approach targeting Sentinel-1 TOPS images to process massive data with higher efficiency and resolution. We employed a GPU-assisted InSAR processing method to accelerate data processing. Statistically homogeneous pixel selection (SHPS) filtering was used to reduce noise and detect features in scenes with minimal image resolution loss. Compared to the commonly used InSAR processing software, the proposed method significantly improved the Sentinel-1 TOPS data processing efficiency. The feasibility of the method was investigated by mapping the surface deformation over the Yellow River Delta using SAR datasets acquired between January 2021 and February 2022. The findings indicate that several events of significant subsidence have occurred in the study area. Combined with the geological environment, underground brine and hydrocarbon extraction as well as sediment consolidation and compaction contribute to land subsidence in the Yellow River Delta.

Keywords: InSAR time series; full resolution; SAR coordinate system; ground subsidence; yellow river delta (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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