scholarly journals LANDSLIDE ACTIVITY MONITORING WITH THE HELP OF UNMANNED AERIAL VEHICLE

Author(s):  
V. Peterman

This paper presents a practical example of a landslide monitoring through the use of a UAV - tracking and monitoring the movements of the Potoska Planina landslide located above the village of Koroska Bela in the western Karavanke Mountains in north-western Slovenia. Past geological research in this area indicated slope landmass movement of more than 10 cm per year. However, much larger movements have been detected since - significant enough to be observed photogrammetrically with the help of a UAV. With the intention to assess the dynamics of the landslide we have established a system of periodic observations carried out twice per year – in mid-spring and mid-autumn. This paper offers an activity summary along with the presentation of data acquisition, data processing and results.

Author(s):  
M A Marfai ◽  
Sunarto ◽  
N Khakim ◽  
A Cahyadi ◽  
F S C Rosaji ◽  
...  

Author(s):  
Norhadija Darwin ◽  
Anuar Ahmad

The present work discusses the technique and methodology of analysing the potential of fast data acquisition of aerial images using unmanned aerial vehicle system. This study utilizes UAV system for large scale mapping by using digital camera attached to the UAV. UAV is developed from the low-altitude photogrammetric mapping to perform the accuracy of the aerial photography and the resolution of the image. The Ground Control Points (GCPs) and Check Points (CPs) are established using Rapid Static techniques through GPS observation for registration purpose in photogrammetric process. The GCPs is used in the photogrammetric processes to produce photogrammetric output while the CP is employed for accuracy assessment. A Pentax Optio W90 consumer digital camera is also used in image acquisition of the aerial photograph. Besides, this study also involves image processing and map production using Erdas Imagine 8.6 software. The accuracy of the orthophoto is determined using the equation of Root Mean Square Error (RMSE). The final result from orthophoto is compared to the ground survey using total station to show the different accuracy of DEM and planimetric survey. It is discovered that root mean square errors obtained from UAV system are ± 0.510, ± 0.564 and ± 0.622 for coordinate x, y and z respectively. Hence, it can be concluded that the accuracy obtained from UAV system is achieved in sub meter. In a nutshell, UAV system has potential use for large scale mapping in field of surveying and other diversified environmental applications especially for small area which has limited time and less man power.


2014 ◽  
Vol 898 ◽  
pp. 759-762
Author(s):  
Yi Heng Pan ◽  
Zhi Gang Li ◽  
Zhan Shi Liu ◽  
Bo Li

Three-dimensional laser scanning technology, short for 3D laser scanning technology, is another innovation in surveying and mapping technology after GPS space positioning technology. This paper introduces the 3D laser scanning technology applied in the Ginkgo landslide monitoring. In this paper, the monitoring schematic design, data acquisition, data processing and data analysis are systematically introduced. It follows that Ginkgo landslide overall deformation characteristics, 3D laser scanning technologys strengths and weaknesses in the landslide monitoring. It is promising for the application of 3D laser scanning technology in landslide monitoring.


2020 ◽  
Author(s):  
Gloria Xing ◽  
Mingzhi Zhang ◽  
Juan Ma ◽  
Zack Huang ◽  
Cong Liu

<p>In recent years, Unmanned aerial vehicle (UAV) tilt photography, InSAR, LiDAR and other technologies have been used in the field of geological disaster surveys and research to varying degrees, with traditional field survey methods being unable to meet the requirements of rapid and subtilized geological surveys nowadays. Thanks to the rapid development of UAV tilt photogrammetry technology, UAVs have played an important role in geological disaster emergency investigations and geological surveys. However, there are still some problems with the application of UAVs: 1. Geological disaster investigators who commonly hold degrees in geology find it difficult to learn how to operate UAVs; 2. professional UAV pilot training involves high costs and long training cycles, and meanwhile, UAV platforms and their loaded multi-lens tilt cameras are of high value, which render UAVs impossible to use as a standard accessory for geological disaster investigation teams; and 3. professional 3D modelling software is expensive and requires highly configured computer hardware, and in field scenarios, it usually has poor timeliness in terms of data processing. A micro-UAV system, mainly consisting of a UAV flight path control app (supporting Android/IOS) and a web-based data processing cloud platform, has been developed to solve the problems emerging in UAV-based geological disaster surveys, such as the difficult data collection, slow data processing, and high human involvement. The system integrates existing consumer-grade micro-UAV hardware and our newly designed UAV path planning and photogrammetry modes applicable in geological disaster surveys to achieve the fast acquisition of images, DOM, DSM, 3D models and point cloud data for geological disaster survey areas, based on high-speed processing and multi-node distributed GPU cluster technology. The main goal of this micro-UAV geological disaster surveying system is to rapidly acquire, transmit, process and distribute large-scale three-dimensional geographic information for small areas. The UAV flight path control app features one-click take-off and automatic landing, and the web data-processing cloud platform can realize one-click automatic data processing. The system has good application prospects due to its low cost and easy operation, and the fact that it can be widely used as a standard accessory by teams in various geological disaster investigations.</p><p><strong>Keywords</strong>: micro-UAV system, cloud computing, geological disaster survey, rapid and subtilized survey</p>


2016 ◽  
Vol 38 (8-10) ◽  
pp. 2717-2736 ◽  
Author(s):  
Luís Guilherme Teixeira Crusiol ◽  
Marcos Rafael Nanni ◽  
Guilherme Fernando Capristo Silva ◽  
Renato Herrig Furlanetto ◽  
Anderson Antonio da Silva Gualberto ◽  
...  

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