• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Long-term retrospective investigation of a large, deep-seated, and slow-moving landslide using InSAR time series, historical aerial photographs, and UAV data: The case of Devrek landslide (NW Turkey)
【24h】

Long-term retrospective investigation of a large, deep-seated, and slow-moving landslide using InSAR time series, historical aerial photographs, and UAV data: The case of Devrek landslide (NW Turkey)

机译：使用Insar时间序列，历史空中照片和UAV数据的长期回顾性调查大型，深座位和缓慢移动滑坡：Devrek Landslide（NW Turkey）的情况

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study presents a successful combination of different remote sensing data used in a long-term retrospective investigation of a large and destructive deep-seated, slow-moving landslide reactivated on 16 July 2015 in Devrek District (Zonguldak, Turkey). To this aim, Synthetic Aperture Radar (SAR) data were used for Interferometric SAR (InSAR) time-series analysis together with unmanned aerial vehicle (UAV) images and aerial photographs for digital photogrammetric analysis. The SAR dataset was divided into three sub-periods: 1) 1992-2001 for ERS-1 and ERS-2 satellites; 2) 2003-2010 for Envisat ASAR; and 3) 2014-2015 for Sentinel-1. Persistent Scatterers Interferometry (PSI) was applied for each sub-period. In total, 20 aerial photographs, dating from as early as 1944, were obtained, along with data from a UAV flight mission conducted on 23 June 2018. The historical aerial photographs revealed that the region has had a landslide problem since the 1940s. Between 1944 and 2018, a noticeable expansion of the settlement area towards the toe of the landslide was also observed. Aerial photographs (1984 and 2011) and UAV images (2018) were used to map landslide deformations using the M3C2 algorithm. Due to the high number of modelling errors, the 1984 and 2011 aerial photographs did not allow mapping of the landslide deformations. However, it was possible to determine them for the periods of 2011 and 2018. The M3C2 results between 2011 and 2018 were also compared to the PSI results, which were quite compatible with those obtained via photogrammetric methods. Moreover, two orthophotos belonging to 2011 and 2018 were used to reveal the horizontal displacement of buildings caused by the landslide. As a result, the complete investigation of the landslide performed in this study may serve to facilitate additional plans and strategies for prevention and mitigation of potential reactivations in the future.
机译：本研究成功地结合了不同的遥感数据，对2015年7月16日在德夫雷克区（土耳其宗古尔达克）重新激活的大型破坏性深层缓慢移动滑坡进行了长期回顾性调查。为此，合成孔径雷达（SAR）数据与无人机（UAV）图像和航空照片一起用于干涉SAR（InSAR）时间序列分析，用于数字摄影测量分析。SAR数据集分为三个分时段：1）ERS-1和ERS-2卫星的1992-2001年；2） 2003-2010年，环境卫星ASAR；3）Sentinel-1的2014-2015年。对每个子周期应用持续散射干涉仪（PSI）。总共获得了20张早在1944年拍摄的航空照片，以及2018年6月23日执行的无人机飞行任务的数据。历史航拍照片显示，该地区自20世纪40年代以来一直存在滑坡问题。1944年至2018年期间，还观察到沉降区向滑坡坡脚方向明显扩大。航空照片（1984年和2011年）和无人机图像（2018年）用于使用M3C2算法绘制滑坡变形图。由于大量建模错误，1984年和2011年的航空照片不允许绘制滑坡变形图。然而，可以确定2011年和2018年期间的数据。2011年至2018年间的M3C2结果也与PSI结果进行了比较，后者与通过摄影测量方法获得的结果非常一致。此外，2011年和2018年的两张正射影像被用来揭示滑坡造成的建筑物水平位移。因此，本研究中对滑坡进行的全面调查可能有助于促进未来预防和缓解潜在复活的额外计划和策略。

著录项

相似文献

  • 外文文献
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号