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首页> 外文期刊>Remote Sensing >Landslide Investigation with Remote Sensing and Sensor Network: From Susceptibility Mapping and Scaled-down Simulation towards in situ Sensor Network Design
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Landslide Investigation with Remote Sensing and Sensor Network: From Susceptibility Mapping and Scaled-down Simulation towards in situ Sensor Network Design

机译：利用遥感和传感器网络进行滑坡调查：从磁化率映射和按比例缩小模拟到现场传感器网络设计

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摘要

This paper presents an integrated approach to landslide research based on remote sensing and sensor networks. This approach is composed of three important parts: (i) landslide susceptibility mapping using remote-sensing techniques for susceptible determination of landslide spots; (ii) scaled-down landslide simulation experiments for validation of sensor network for landslide monitoring, and (iii) in situ sensor network deployment for intensified landslide monitoring. The study site is the Taziping landslide located in Hongkou Town (Sichuan, China). The landslide features generated by landslides triggered by the 2008 Wenchuan Earthquake were first extracted by means of object-oriented methods from the remote-sensing images before and after the landslides events. On the basis of correlations derived between spatial distribution of landslides and control factors, the landslide susceptibility mapping was carried out using the Artificial Neural Network (ANN) technique. Then the Taziping landslide, located in the above mentioned study area, was taken as an example to design and implement a scaled-down landslide simulation platform in Tongji University (Shanghai, China). The landslide monitoring sensors were carefully investigated and deployed for rainfall induced landslide simulation experiments. Finally, outcomes from the simulation experiments were adopted and employed to design the future in situ sensor network in Taziping landslide site where the sensor deployment is being implemented.
机译：本文提出了一种基于遥感和传感器网络的滑坡研究综合方法。这种方法由三个重要部分组成：（i）使用遥感技术对滑坡点进行易感性测定的滑坡敏感性图; （ii）按比例缩小的滑坡模拟实验，以验证用于滑坡监测的传感器网络，以及（iii）原位传感器网络部署，用于加强滑坡监测。研究地点是位于中国四川省虹口镇的塔坪坪滑坡。首先通过面向对象的方法从滑坡事件发生前后的遥感影像中提取出2008年汶川地震引发的滑坡产生的滑坡特征。基于滑坡空间分布与控制因素之间的相关性，利用人工神经网络技术对滑坡敏感性进行了测绘。然后以上述研究区中的塔坪坪滑坡为例，在上海同济大学设计并实现了按比例缩小的滑坡模拟平台。仔细研究了滑坡监测传感器，并将其部署到降雨诱发的滑坡模拟实验中。最后，采用了模拟实验的结果，并将其用于设计正在部署传感器的Taziping滑坡现场的未来现场传感器网络。

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