| 基于SBAS/PS-InSAR技术的滑坡遥感监测对比研究 |
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| 引用本文： | 付波霖,解淑毓,李涛,李豪,左萍萍,高二涛.基于SBAS/PS-InSAR技术的滑坡遥感监测对比研究[J].大地测量与地球动力学,2021,41(4):392-397. |
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| 作者姓名： | 付波霖 解淑毓 李涛 李豪 左萍萍 高二涛 |
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| 作者单位： | 桂林理工大学测绘地理信息学院,桂林市雁山街319号,541006;广西空间信息与测绘重点实验室,桂林市雁山街319号,541006 |
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| 基金项目： | 广西自然科学基金;国家自然科学基金;桂林理工大学科研启动基金;广西“八桂学者”岗位专项;广西科技基地和人才专项 |
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| 摘 要： | 以2015~2019年12景ALOS-2 PALSAR2影像和2018~2019年38景Sentinel-1A影像为主要数据源，利用PS-InSAR和SBAS-InSAR技术提取西藏江达县波罗乡白格滑坡点的形变信息，并对处理结果进行交叉验证。研究得到以下结论：1）PS-InSAR技术条件下，ALOS-2数据和Sentinel-1A数据的平均形变速率范围为-68.9~37.9 mm/a和-64.5~24.2 mm/a；SBAS-InSAR技术条件下，ALOS-2数据和Sentinel-1A数据的平均形变速率范围为-84.2~-40.0 mm/a和-84.0~-13.0 mm/a。2）对2种数据结果中提取的4个特征点进行时序分析和定量分析显示，2种InSAR技术结果变化趋势较为一致，验证了两者在滑坡监测中的可靠性和准确性。
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| 关 键 词： | 滑坡监测 ALOS-2 PALSAR2 Sentinel-1A 小基线集 永久散射体 精度交叉验证 |
Comparative Study of Landslide Remote Sensing Monitoring Based on SBAS/PS-InSAR Technology |
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| FU Bolin,XIE Shuyu,LI Tao,LI Hao,ZUO Pingping,GAO Ertao.Comparative Study of Landslide Remote Sensing Monitoring Based on SBAS/PS-InSAR Technology[J].Journal of Geodesy and Geodynamics,2021,41(4):392-397. |
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| Authors: | FU Bolin XIE Shuyu LI Tao LI Hao ZUO Pingping GAO Ertao |
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| Institution: | (College of Geomatics and Geoinformation,Guilin University of Technology,319 Yanshan Street,Guilin 541006,China;Guangxi Key Laboratory of Spatial Information and Geomatics,319 Yanshan Street,Guilin 541006,China) |
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| Abstract: | In this paper,we extract the deformation information of Baige landslide,Polo town,Jomda county,Tibet,by PS-InSAR and SBAS-InSAR techniques using ALOS-2 PALSAR2 images of 12 scenes from 2015 to 2019 and Sentinel-1A images of 38 scenes from 2018 to 2019 as the main data sources.The main conclusions of this paper are as follows:1)Under the PS-InSAR technique,the average deformation rates of ALOS-2 data and Sentinel-1A data range from-68.9~37.9 mm/a and-64.5~24.2 mm/a.The average deformation rates of ALOS-2 and Sentinel-1A data range from-84.2~-40.0 mm/a and-84.0~-13.0 mm/a under the conditions of SBAS-InSAR technology.2)Timing sequence analysis and quantitative analysis are performed on the four feature points extracted from the two data results.The results of the two technique showed a consistent trend.Thus,the reliability and accuracy of the two time-series InSAR techniques in landslide monitoring are verified. |
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| Keywords: | landslide monitoring ALOS-2 PALSAR2 Sentinel-1A SBAS PS precision cross validation |
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