The Role of Unmanned Aerial Vehicles (UAVs) In Monitoring Rapidly Occuring Landslides

Yaprak, Servet; Yıldırım, Ömer; Susam, Tekin; İnyurt, Samed; Oğuz, İrfan

doi:10.5194/nhess-2018-13

Cited by 11 publications

(10 citation statements)

References 6 publications

(7 reference statements)

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“…InSAR) are rarely preferred due to costs, and re-visit timings (particularly for InSAR; Solari et al, 2018). In this study, GSD values of 2.09 cm were attained with a flight altitude of <120 m. It is not possible to attain such low GSD values (thus, high resolution) with manned aerial vehicles or satellite images because flight altitudes will be higher in both cases, increasing the GSD and decreasing the resolution (Yaprak et al, 2018). Ideally, the GSD value should be at least half the accuracy required by the project in order to minimize the ambiguity introduced by the pixel colorings.…”

Section: Discussionmentioning

confidence: 80%

Monitoring active landslides in the Auckland region utilising UAV/structure-from-motion photogrammetry

Brook

Merkle

2019

JGS Special Publication

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The undulating topography of the Auckland urban region is susceptible to landslides of varying process-mechanisms, including: (1) earthflows of saturated Pleistocene Tauranga Group sediments, tephra and residual soils flowing off more competent underlying rock; (2) rotational slumping of man-made fill or Tauranga Group sediments; (3) block-slides of weak Miocene Waitemata Group sedimentary rock, dipping out of slope. Such landslides are often triggered by intense short periods, or prolonged periods of rainfall, such as the 'Tasman Tempest' and ex-Tropical Cyclone Debbie storms of 2017. Typically, rainfall infiltration results in a rise of the groundwater table and an increase of the pore water pressure, causing a reduction in effective normal stress and thereby soil strength, leading to landslides. Such landslide risk is likely to be accentuated in the Auckland region in future given the projected population growth and planned urban and commercial expansion driving the Auckland Unitary Plan (AUP). Indeed, the AUP encourages greater intensification by rezoning many areas to allow construction of low-rise apartments. Therefore, monitoring slope stability in the Auckland region is important, and requires assessment of the extent, rate of displacement, surface topography, and detection of tension cracks developing from slope deformation. Here, we present some investigations of slope failure mechanisms and activity in the Auckland region using Unmanned Aerial Vehicles (UAV) and structure-from-motion (SfM) photogrammetry. UAVs are emerging as an effective tool in landslide hazard management, allowing rapid collection of imagery and production of high resolution photomosaics from which safe evaluation of landslide deformation and activity can be undertaken. In addition, digital terrain models (DTMs) can be developed, and these can potentially allow time-series DTM-differencing and/or comparison with LiDAR data in order to evaluate landslide activity. UAV-derived topographic data is also useful for 2D/3D slope profile construction which is important for accurate parameterization of numerical slope stability models. Thus, the UAV-SfM technique represents an effective, rapid, financially viable alternative to traditional topographic surveying and LiDAR.

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Section: Discussionmentioning

confidence: 80%

Monitoring active landslides in the Auckland region utilising UAV/structure-from-motion photogrammetry

Brook

Merkle

2019

JGS Special Publication

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“…Also, interferometry SAR (InSAR) data combined with Unmanned Aerial Vehicle (UAV) images and aerial photography can be used to investigate slow-moving landslide [30]. Recently, application of UAV is growing to monitor rapidly occurring landslides and mapping in inaccessible terrains [31,32].…”

Section: Landslide Investigation: Recent Trends and Techniquesmentioning

confidence: 99%

Introductory Chapter: Importance of Investigating Landslide Hazards

Ray¹,

Lazzari²

2020

Landslides - Investigation and Monitoring

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“…While the image-based method may acquire optical imagery (Hosseini et al, 2011), Terrestrial Laser Scanning (Barbarella & Fiani,, 2013), Terrestrial InSAR (Mazzanti et al, 2014), or radar imagery (Sara et al, 2017) are area-based surveying approach. In recent years, the UAV is getting involved in this field to carry digital camera and adopt photogrammetric and image processing techniques (Lindner et al, 2015;Peppa et al, 2016;Lindner et al, 2016;Yaprak & Susam, 2018) for small landslides monitoring.…”

Section: Literature Reviewmentioning

confidence: 99%

Landslide Deformation Monitoring by Three-Camera Imaging System

Rau

Jhan

Andaru

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Landslide deformation is a critical issue for WuWanZai as it will affect the road safety and cause transportation problem. Since the relief of this area is about 400 meters with an area of tens of hectares, we use an unmanned helicopter equipped with a three-camera imaging system to acquire high spatial resolution images in order to measure detail terrain variation. The unmanned helicopter can fly according to terrain slope to obtain 1-3 cm spatial resolution images. The acquired three-camera images are stitched into one perspective image in advance to construct a large format virtual image with a frame size of 34mm by 78 mm and a FOV of 53° x 97°. Integrating ground control points that were measure by static GNSS continuous observation, we conduct aerial triangulation and dense point cloud generation by PhotoscanPro. We have acquired six dataset of UAV images since April 20, 2018. Then, we have conducted cloud-to-cloud distance calculation, DSM elevation difference calculation, ortho-image change analysis, photogrammetric points and GNSS stations displacement analysis, etc. In the end, from photogrammetric point displacement analysis, we have detected 1.6 meters displacement around the fourth curve of WuWanZai due to a heavy rainfall occurred at June 20. Based on the cloud-to-cloud distance analysis and DSM elevation difference results, we have observed more than 5 meters of height difference at the landslide area due to another heavy rainfall happened at Oct. 23-24. Experimental results demonstrate that by using the proposed UAV and three-camera imaging system can effectively detect landslide deformation in high accuracy.

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The Role of Unmanned Aerial Vehicles (UAVs) In Monitoring Rapidly Occuring Landslides

Abstract: 15may be collected in a fast and sensitive way using UAVs, and this method is proposed

Cited by 11 publications

References 6 publications

Monitoring active landslides in the Auckland region utilising UAV/structure-from-motion photogrammetry

Monitoring active landslides in the Auckland region utilising UAV/structure-from-motion photogrammetry

Introductory Chapter: Importance of Investigating Landslide Hazards

Landslide Deformation Monitoring by Three-Camera Imaging System

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