Mapping landslide phenomena in landlocked developing countries by means of satellite remote sensing data: the case of Dilijan (Armenia) area
Mapping landslide phenomena in landlocked developing countries by means of satellite remote sensing data: the case of Dilijan (Armenia) area
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DOI：
10.1080/19475705.2016.1189459
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发表时间：
2017-01-01
影响因子：
4.2
通讯作者：
Casagli, Nicola
中科院分区：
文献类型：
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作者：
Bianchini, Silvia;Raspini, Federico;Casagli, Nicola
滑坡探测和测绘对于减少这类自然灾害的影响和改善未来的扩展和规划战略至关重要，特别是在发展中国家，因为合理的土地利用设计是可持续增长和环境管理的重要问题。亚美尼亚是一个内陆国家，其城市发展与改善基础设施密切相关，这必须考虑到该地区的环境和斜坡不稳定，以便查明对定居点和经济活动的风险和可能的损害。在过去十年中，利用基于卫星的地球观测数据取得了重大进展，事实证明，这对以毫米级精度测量和监测缓慢移动的地表变形现象非常有用。在这一框架内，本研究旨在提供一个基于遥感的滑坡清查图(LIM)和Dilijan(亚美尼亚)地区的滑坡易感性图(LSM)，该图是在亚美尼亚二级城市发展项目范围内执行的。特别是，研究区的LIM和LSM是利用2003年至2010年由ALOS和ENVISAT传感器获取的卫星合成孔径雷达(SAR)数据获得的地面形变测量数据产生的，并与最近光学图像的光解译和数字高程模型(DEM)的形态分析相结合。鉴于感兴趣地区广泛存在植被，对卫星合成孔径雷达图像进行了处理，以产生SqueeSAR(TM)和临时相干散射体数据，这是作为PSInSAR(TM)方法的发展构想的持续散射干涉测量(PSI)数据，特别适合于非城市和农村地区，其特征是随着时间的推移，相干地形基准密度低。通过这项工作制作的滑坡地图确定了Dilijan市周围最危险的滑坡影响和滑坡多发地区，并可用于进一步评估该地区城市基础设施发展的环境风险。
Landslide detection and mapping are essential issues for reducing impact of such natural disasters, and for improving the future built-up expansion and planning strategies, especially in developing countries where a reasonable land-use design is an important concern for sustainable growth and environmental management. Armenia is a landlocked country and its urban development is strongly tied to the improvement of infrastructures, which must takes into account the environmental setting and the slope instability of the area, in order to identify risks and possible damages to settlements and economic activities. The use of satellite-based Earth Observation data has advanced significantly in the last decade and has turned out to be very useful for measuring and monitoring slow-moving surface deformation phenomena with millimetric precision. In this framework, this study aims at providing a remote sensing-based Landslide Inventory Map (LIM) and a Landslide Susceptibility Map (LSM) over Dilijan (Armenia) area, performed within the Secondary Cities Urban Development in Armenia project. In particular, LIM and LSM in the study area were produced by using ground deformation measurements derived from satellite Synthetic Aperture Radar (SAR) data, acquired by ALOS and ENVISAT sensors from 2003 up to 2010, and integrated with photo-interpretation of recent optical images and morphological analysis of Digital Elevation Model (DEM). Given the extensive presence of vegetation in the area of interest, satellite SAR images were processed to produce both SqueeSAR (TM) and Temporary Coherent Scatterers data, which are PSI (Persistent Scatterer Interferometry) data conceived as evolution of PSInSAR (TM) approach and particularly suited for non-urban and rural areas characterized by low density of coherent terrain benchmarks over time. Landslide mapping produced through this work identifies the most hazardous landslide-affected and landslide-prone areas around Dilijan city, and can be used for further estimating environmental risks for urban infrastructure development in the area.