基于无人机的多光谱成像系统在吉兰丹杰里-杰里高速公路滑坡危险区的测绘

W. Udin, N. A. S. Norazami, N. Sulaiman, N. A. C. Zaudin, S. Marail, A. N. M. Nor
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引用次数: 10

摘要

滑坡通常发生在马来西亚的任何地方,没有任何预警。滑坡主要发生在人工边坡和天然边坡上,其坡度不同。近年来,无人驾驶飞行器(UAV)被广泛用于测绘目的。本研究的第一个目标是评估无人机在Jeli-Gerik高速公路滑坡危险区生产数字摄影测量产品的能力。所涵盖的研究区域是沿Jeli-Gerik高速公路及其周围地区。利用全球定位系统(GPS)的实时运动学技术建立了地面控制点(GCP)和检查点(CP)的原始数据。利用数字摄影测量软件对所有航拍照片进行处理,并以数字高程模型(DEM)和正射影像图的形式输出。第二个目标是利用无人机技术生成滑坡危险区地图。滑坡危险区图将滑坡危险区划分为低危险区、中危险区和高风险区。生成滑坡危险区图的参数为坡度、坡向和高程。基于GIS的滑坡灾害区划模型不仅有助于绘制和监测滑坡,而且有助于预测未来的边坡破坏。此外,无人机收集的数据可以用于产生精确的地面调查。综上所述,无人机系统具有大比例尺测绘的潜力,可用于公共工作部门,以低成本,少人力,快速的监测滑坡区域。探测滑坡陡坡的能力将使我们更好地了解所提议地区的滑坡机制,从而增强对滑坡易发区域内最可能发生滑坡的地点的识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV Based Multi-spectral Imaging System for Mapping Landslide Risk Area Along Jeli-Gerik Highway, Jeli, Kelantan
Landslide is usually happening anywhere in Malaysia without any warning. Most of landslide occurs at manmade slope and natural slopes according to their slope gradient. Recently, Unmanned Aerial Vehicle (UAV) has been widely used for mapping purpose. The first objective of this study is to assess capabilities of UAV in the production of digital photogrammetric products based on landslide risk area along Jeli-Gerik highway. The study area covered is along Jeli-Gerik highway and its surrounding area. Primary data of ground control points (GCP) and check points (CP) were established using real time kinematic technique of Global Positioning System (GPS). All the aerial photographs were processed using digital photogrammetric software and the output in the form of digital elevation model (DEM) and orthophoto were produced. The second objective is to produce landslide risk area map using UAV technology. The risk area map separates the landslide area into three groups which are Low Risk, Medium Risk and High Risk. The parameters that were used to generate the landslide risk area map are slope, aspect and elevation. GIS based Landslide Hazard Zonation models helps not only to map and monitor landslides but also to predict future slope failures. In addition, data collected by UAV can be used to produce accurate ground surface surveys. As conclusion, UAV system has potential use for large scale mapping and could be used by public work department in order to monitoring of landslide area with low cost, less manpower and faster. The ability to detect landslide scarps will lead to a better understanding of landslide mechanisms for the propose area, thus leading to an enhanced identification of the most likely failure sites within a landslide-prone area.
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