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A case study on landslide displacement monitoring by SBAS DInSAR in the Vipava River Valley,Slovenia

机译:斯洛文尼亚VIPAVA河谷SBAS DINSAR山体滑坡移位监测案例

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The Vipava River Valley is well known as a landslide-prone area in Slovenia.Since the area is very large,the application of in situ monitoring systems is limited.An efficient method that can monitor the whole area of the Vipava River Valley is highly required.In this study,the SBAS DInSAR method is applied to monitor the displacement behavior of landslides in this area.Using four images of ALOS2-PALSAR2 data,captured from March 2016 to December 2018,clear LOS displacement distribution maps are obtained.The temporal transition of the displacement behavior is also obtained using 273 images of Sentinel-1A/B for both ascending and descending passes taken from September 2016 to January 2019.The monitoring results for the Slano blato landslide are demonstrated in this paper.LOS displacements of several cm are detected despite the countermeasure works that were performed.The SBAS DInSAR gives a better understanding of the spatio-temporal landslide displacements in the area.
机译:Vipava River Valley众所周知,斯洛文尼亚的滑坡易一区域。该区域非常大,原位监测系统的应用是有限的。能够监控VIPAVA河谷的整个区域的高效方法是非常需要的在本研究中,SBAS Dinsar方法应用于监测该区域山体滑坡的位移行为。从2016年3月到2018年12月捕获的alos2-Palsar2数据的四个图像,可以获得清除LOS位移分布图。时间过渡还可以使用Sentinel-1a / b的273个图像来获得位移行为,用于从2016年9月到2019年1月的升序和下降通行证。在本文中证明了Slano Bloz Landslide的监测结果。几厘米的位移是尽管进行了对策的作品,但SBAS DINSAR更好地了解该地区的时空滑坡位移。

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