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SAR interferometry on full scatterers: Mapping ground deformation with ultra-high density from space

干涉合成孔径雷达 去相关 遥感 变形监测 干涉测量 地质学 大气校正 大地测量学 变形(气象学) 比例(比率) 合成孔径雷达 环境科学 计算机科学 地理 卫星 算法 光学 物理 海洋学 地图学 天文
作者
Hongan Wu,Yonghong Zhang,Yonghui Kang,Jujie Wei,Zhong Lu,Wei Yan,Haigang Wang,Zhenhui Liu,Xiaowen Lv,Maotong Zhou,Kui Li,Ying Liu,Nan Liu
出处
期刊:Remote Sensing of Environment [Elsevier BV]
卷期号:302: 113965-113965 被引量:17
标识
DOI:10.1016/j.rse.2023.113965
摘要

Spaceborne time series SAR interferometry (TS-InSAR) technology has been widely applied in ground deformation monitoring. The current popular TS-InSAR are carried out mainly on permanent scatterers (PS) or distributed scaterrers (DS), which can map the ground deformation on sparse targets with high or moderate coherence. However, high-precision and high-density deformation monitoring is always restricted by atmospheric artifacts and surface decorrelation, especially over nonurban areas. Here we show that the ground deformation can be precisely mapped with high density by spaceborne InSAR technique. We proposed a full scatterers InSAR (FS-InSAR) methodology, which can significantly improve the quality of the interferograms by applying a dual-scale temporal low-pass filter (DTLF) to separate both atmospheric and noisy phases from deformation phases, without external atmospheric data. Simulation experiments were conducted to determine the small-scale and large-scale window sizes and evaluate the effectiveness of DTLF. Then we applied the FS-InSAR method to the Tianjin-Tangshan region, China using Sentinel-1 data, assessed the regenerated differential low-frequency phases, and validated the results with leveling measurements and groundwater depth data. What's more, detailed ground deformation was retrieved over the Tangshan mining area with an unprecedented density of 98.55%. Our results demonstrate that the FS-InSAR strategy contrasts sharply with the previous PS-InSAR or DS-InSAR methods by simultaneously solving the two bottleneck problems of atmospheric artifacts and decorrelation in most cases except for water bodies or dense vegetations such as rainforest, thereby it is of great importance for future monitoring and understanding the ground deformation to prevent and control geological disasters.
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