首页> 外文OA文献 >Long-term monitoring of a deep-seated, slow-moving landslide by mean of C-band and X-band advanced interferometric products: the Corvara in Badia case study (Dolomites, Italy)
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Long-term monitoring of a deep-seated, slow-moving landslide by mean of C-band and X-band advanced interferometric products: the Corvara in Badia case study (Dolomites, Italy)

机译:通过C波段和X波段高级干涉测量产品对深层,缓慢移动的滑坡进行长期监测:Cordia in Badia案例研究(意大利多洛米蒂)

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摘要

The availability of data from various Synthetic Aperture Radar (SAR) operating in X-Band and C-Band acquired in the last decades enables to monitor slopes affected by landslides. The ASI-founded project ‘LAWINA’ (2010 – 2012) aimed at the improvement of SAR – based monitoring techniques as well as at the integration of SAR data with data stemming from other sensors. Test case area of LAWINA has been a slow-moving landslide located up-stream of Corvara in Badia village in the Dolomites, Italy. Within the scope of the project different time-series obtained through 35 Envisat2, 40 Radarsat-1 and 46 Cosmo-SkyMed covering this test area have been processed in order to explore the potentials to analyse historical and near real time landslide dynamics. The SAR data are characterized by various geometric and temporal resolutions having been acquired by 3 sensors operating at different bands in different periods between 2003 and 2011. TeleRilevamento Europa (TRE) exploited these data in order to retrive displacement time- series applying its proprietary SqueeSAR algorithm. After re-projecting Envisat-2 and Radarsat datasets according to the CSK Line Of Sight a comparison of displacements recorded by each sensor has been possible. For this purpose, we have selected areas characterized by the presence of Persistent Scatterers or Diffused Scatterers from at least two datasets. This multi-sensor approach allowed determining the slope displacement tracking during 8 years. Even though the different time series are not formally integrated each other, the result is accurate enough to allow the evaluation of the landslide’s behaviour and trend over several years
机译:最近几十年来,在X波段和C波段运行的各种合成孔径雷达(SAR)的数据的可用性使得能够监视受滑坡影响的斜坡。由ASI发起的项目“ LAWINA”(2010年至2012年)旨在改进基于SAR的监视技术,以及将SAR数据与其他传感器产生的数据进行集成。 LAWINA的测试案例区域是位于意大利白云岩Badia村Corvara上游的缓慢移动的滑坡。在项目范围内,已处理了通过覆盖该测试区域的35个Envisat2、40个Radarsat-1和46个Cosmo-SkyMed获得的不同时间序列,以探索分析历史和近实时滑坡动力学的潜力。 SAR数据的特点是,在2003年至2011年之间,不同时期的3个传感器在不同频段工作,获得了各种几何分辨率和时间分辨率。TeleRilevamento Europa(TRE)利用这些数据来利用其专有的SqueeSAR算法获取位移时间序列。 。根据CSK视线重新投影Envisat-2和Radarsat数据集后,可以比较每个传感器记录的位移。为此,我们从至少两个数据集中选择了以持久散射体或扩散散射体为特征的区域。这种多传感器方法允许确定8年内的坡度位移跟踪。即使不同的时间序列没有正式整合在一起,其结果也足够准确,可以评估滑坡在几年内的行为和趋势

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