The application of civic technologies in a field survey of landslides
The application of civic technologies in a field survey of landslides
复制标题
民用技术在滑坡现场调查中的应用
DOI：
10.1002/ldr.2957
复制
发表时间：
2018
影响因子：
4.7
通讯作者：
Simon Salon
中科院分区：
文献类型：
--
作者：
F. Chudý;M. Slámová;J. Tomaštík;D. Tunák;M. Kardoš;Simon Salon
坡度失败是在全世界许多领域的灾难性的自然危害，在整个世界各地的许多领域（Google Tango）的适应性。单个模型同时证明了这些数据的互操作性和可伸缩性和模型质量。调查级班轮SK全球导航卫星系统接收器和Topcon GPT 9003 m总计进行了空中调查。飞行飞机系统（500点/m2）。丢失的详细信息是使用从近距离摄影（9,132平方米； 92,300点/m2）和Lenovo Phab 2 Pro运行Google Tango获得的，该数据在接近实时的条件下（1,847平方米; 109,000点/109,000点/ M2）使用平板的扫描提供了均匀分散的数据差，但是空间精度较低。它的低成本使其与其他技术竞争。结果证实，基于使用不同技术的点云的模型允许识别和测量微型地面，这些地形可能表明滑坡活动。
Slope failures are financially devastating natural hazards that contribute to land degradation in many areas throughout the world. The adaptation of civic technologies (Google Tango) in a field survey of landslides was examined. Data acquired from different resources and processed using different technologies were merged into a single model to concurrently demonstrate the interoperability and scalability of these data and the model quality. Reference control points were established using a survey‐grade Topcon Hiper SK global navigation satellite system receiver and a Topcon GPT 9003 M total station. An aerial survey was performed in an area of approximately 30,000 m2 using airborne laser scanning (9 points/m2) and aerial photogrammetry using a remotely piloted aircraft system (500 points/m2). The models suffered from data gaps in less visible areas, and micro‐scale landforms reflecting landslide activity were poorly visible. The missing details were supplied using data obtained from close‐range photogrammetry (9,132 m2; 92,300 points/m2) and a Lenovo Phab 2 Pro running Google Tango, which acquired detailed point clouds in near real‐time conditions (1,847 m2; 109,000 points/m2). Scans using the phablet provided point clouds with homogeneously dispersed data gaps, but the spatial accuracy was lower. However, the ergonomics of its field use and its low cost made it competitive with other technologies. The results confirmed that models based on point clouds acquired using different technologies allow the identification and measurement of micro‐scale landforms that may indicate landslide activity.
影响因子：
4.6
作者：
M. Parise
通讯作者：
M. Parise