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Detection and accuracy of landslide movement by InSAR analysis using PALSAR-2 data

机译:使用PALSAR-2数据的insar分析检测和准确性

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摘要

Interferometric synthetic aperture radar (InSAR) analysis is a radar technique for generating large-area maps of ground deformation using differences in the phase of microwaves returning to a satellite. In recent years, high-resolution SAR sensors have been developed that enable small-scale slope deformation to be detected, such as the partial block movement of a landslide. The L-band SAR (PALSAR-2) is mounted on Advanced Land Observing Satellite-2 (ALOS-2), which was launched on 24 Mar. 2014. Its main improvements compared with ALOS are enhanced resolution of as high as 3 m with a high-frequency recurrence period (14 days). Owing to its high resolution and the use of the L-band, PALSAR-2 can obtain reflective data passing through a tree canopy surface, unlike the other synthetic aperture radars. Therefore, the coherence of InSAR in mountainous forest areas is less likely to decrease, making it advantageous for the extraction of slope movement. In this study, to verify the accuracy of InSAR analysis using PALSAR-2 data, we compared the results of InSAR analysis and the measurement of the displacement in a landslide by global navigation satellite system (GNSS) observation. It was found that the average difference between the displacements obtained by InSAR analysis and the field measurements by GNSS was only 15.1 mm in the slant range direction, indicating the high accuracy of InSAR analysis. Many of the areas detected by InSAR analysis corresponded to the locations of surface changes due to landslide activity. Additionally, in the areas detected by InSAR analysis using multiple datasets, the ground changes due to landslide movement were confirmed by site investigation.
机译:干涉性合成孔径雷达(INSAR)分析是一种用于使用返回卫星的微波阶段的差异产生大面积变形的大区域地图的雷达技术。近年来,已经开发出高分辨率的SAR传感器,使得能够检测到小规模的斜率变形,例如滑坡的部分块移动。 L频段SAR(PALSAR-2)安装在2014年3月24日推出的先进土地观察卫星-2(ALOS-2)上。与ALOS相比的主要改进增强了高达3米的分辨率高频复发期(14天)。由于其高分辨率和L频带的使用,与其他合成孔径雷达不同,Palsar-2可以获得穿过树冠表面的反射数据。因此,在山区森林地区的令人隙的连贯性不太可能降低,这使得坡度运动的提取有利。在这项研究中,为了使用Palsar-2数据验证Insar分析的准确性,通过全球导航卫星系统(GNSS)观察,比较了Insar分析的结果和Linslide中位移的测量。结果发现,通过Insar分析获得的位移与GNSS的场测量之间的平均差异在倾斜范围方向上仅为15.1毫米,表示Insar分析的高精度。由于滑坡活动引起的,由Insar分析检测到的许多区域对应于表面变化的位置。另外,在使用多个数据集检测到的INSAR分析的区域中,通过现场调查证实了由于滑坡运动引起的地面变化。

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