期刊
GEOMATICS NATURAL HAZARDS & RISK
卷 14, 期 1, 页码 -出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/19475705.2023.2176011
关键词
DS-InSAR; surface subsidence monitoring; sentinel-1A; feature decomposition; phase optimization
InSAR technology, especially the DS-InSAR method fused PS points, is effective in detecting large-scale surface deformation. This paper studied the effectiveness of the DS-InSAR method by comparing it with the PS-InSAR and SBAS-InSAR methods in monitoring the Hongta District of Yuxi City. The results showed that the DS-InSAR method fused PS points had higher spatial density and provided a detailed analysis of the spatio-temporal characteristics and deformation mechanism of deformation.
InSAR technology provides a powerful tool for detecting large-scale surface deformation. In particular, the newly developed DS-InSAR method fused PS points has obvious advantages in monitoring bare land and vegetation covered areas, but at present, there is a lack of effectiveness evaluation of this method. Therefore, this paper takes Hongta District of Yuxi City as an example. The 29 scenes sentinel-1A data from January 2019 to December 2019 were processed and analyzed using the DS-InSAR method fused PS points. The research results show that the position and deformation trend of the inversion results of the three methods are highly consistent, the correlation between DS-InSAR method fused PS points and PS- InSAR and SBAS-InSAR methods is 0.9473 and 0.8583, respectively. But the spatial density of the measurement points (MPs) obtained by the DS-InSAR method of PS points is 11 times and 4 times that of the PS-InSAR method and SBAS-InSAR method respectively. It clearly shows that DS-InSAR method fused PS points has greater advantages than PS-InSAR and SBAS-InSAR methods in deformation mapping displacement, because the MPs density is higher. It is conducive to the detailed analysis of the spatio-temporal characteristics and deformation mechanism of deformation.
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