Time series InSAR deformation monitoring of Dongting Lake based on mini-stack technology

doi:10.13474/j.cnki.11-2246.2024.0724

Abstract

Abstract: The Dongting Lake region, as an important water source protection area and a key wetland ecological region, is facing dual threats of tectonic subsidence and excessive human development, which pose challenges to its sustainable development and ecological environment. Considering the relatively low overall deformation rate in the Dongting Lake region, this study utilized long-term Sentinel-1A satellite image data for time series InSAR processing to accurately determine the surface subsidence rate in the area. Additionally, to mitigate the impact of decorrelation noise, this study performed time-domain compression on the images, generating a compressed image stack with a higher signal to noise ratio, thereby achieving efficient time-series processing. In comparison with classical time-series InSAR techniques, this approach not only enhances processing efficiency but also increases the spatial density of coherent points by 100 times. The research findings reveal the presence of two distinct subsidence areas within the study region.

Key words: mini-stack technology, dimensional compression, phase estimation, compressed image, Dongting Lake

CLC Number:

P237

AI Hui, WU Wenhao, YIN Mu, ZHANG Tengxu, YU Li, GE Zixuan, CAO Rui. Time series InSAR deformation monitoring of Dongting Lake based on mini-stack technology[J]. Bulletin of Surveying and Mapping, 2024, 0(7): 134-139.

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