Mapping Landslide Potential Area using Fault Fracture Density Analysis on Unmanned Aerial Vehicle (UAV) Image

Ardi, Nanang Dwi; Iryanti, Mimin; Asmoro, Cahyo Puji; Nurhayati, Netti Siska; Agustine, E

doi:10.1088/1755-1315/145/1/012010

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…A small UAV, DJI Mavic Pro, was employed for ground mapping in the study area. The DJI Mavic Pro has been used in various fields of research [49,50,[83][84][85][86][87][88][89][90]. This is a foldable drone with a flight weight of 743 g, a maximum flight time of about 27 min, and a maximum flight distance of 13 km under a no-wind condition.…”

Section: Uav Photogrammetrymentioning

confidence: 99%

Ground Surface Deformation Detection in Complex Landslide Area—Bobonaro, Timor-Leste—Using SBAS DInSAR, UAV Photogrammetry, and Field Observations

et al. 2020

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During the past 10 years, Timor-Leste has concentrated all its efforts on infrastructure development. However, it has not achieved enough due to unexpected ground deformation in mountainous areas that is seriously affecting road constructions, etc. In order to design roads and other infrastructure under such difficult conditions, it is important to know the present and future ground conditions. Continuous monitoring is a significant methods of detecting ground deformation and providing essential information to realize an effective design. The problem arises of “How can ground deformation be monitored in extensive areas, which are generally located in mountain areas that are difficult to access?” Differential Interferometry Synthetic Aperture Radar (DInSAR) has recently been applied to monitor displacement in extensive areas. In addition, Unmanned Aerial Vehicle (UAV) photogrammetry is useful for detecting the deformation in detail. Both methods are advantageous in that they do not require any sensors. Therefore, the combination of DInSAR and UAV photogrammetry is one of the solutions for monitoring the ground deformation in Timor-Leste. In this paper, DInSAR and UAV photogrammetry are applied to unstable ground in the Bobonaro region of Timor-Leste to find the recent ground deformation, since 2007, due to earthquakes and hard rainfall events. It is found that DInSAR is useful for screening usual and unusual ground behavior and that UAV photogrammetry is flexible to use and can detect displacements with cm accuracy after the DInSAR screening.

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Section: Uav Photogrammetrymentioning

confidence: 99%

Ground Surface Deformation Detection in Complex Landslide Area—Bobonaro, Timor-Leste—Using SBAS DInSAR, UAV Photogrammetry, and Field Observations

et al. 2020

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“…Aerial photogrammetry with aircraft is expensive and hard to operate with sophisticated planning. So, UAVs have become adequate and preferable among surveyors [16][17].…”

Section: Introductionmentioning

confidence: 99%

“…According to [18], since then, more than 80,000 articles featuring the terms "UAV" or "drone" in the title or the keywords have been published, with the bulk of these works falling under the engineering and computer science fields and the majority of contributions coming from remote sensing domain [18,20]. This technology has been effectively used for ecological applications [21][22][23][24], glacier monitoring [25], natural disasters [11,17,26], agriculture surveillance [27][28][29], and other environments that are continually changing [7,[30][31][32][33] .…”

Section: Introductionmentioning

confidence: 99%

Use of unmanned aerial vehicle (UAV) for mapping, and accuracy assessment of the orthophoto with and without using GCPs: A case study in Nepal

SİLWAL>

TAMANG>

Adhikari

2022

Mersin Photogrammetry Journal

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The conventional methods of aerial photogrammetry using helicopters or aeroplanes are costly and challenging for small areas. For a developing country like Nepal, where Geospatial data is in high demand, a new competitive approach is essential for rapid spatial data acquisition at a low cost and time. This article demonstrates how this can be achieved using one of the evolving remote sensing technology, Unmanned Aerial Vehicles (UAVs). The application of UAVs is rapidly increasing in Nepal due to its capability of acquiring images remotely and the potential to provide data with a very high spatial and temporal resolution even in inaccessible terrain at a relatively low cost. Here, the performance of UAV for topographical surveying and mapping has been investigated, along with the comparison between orthophoto obtained using GCPs, and without using GCPs. For this study, a DJI Phantom 3 Advanced quadcopter collected about 700 images at a flying height of 50 m above the settlement area. An orthophoto of 3.78 cm GSD covering 40.83 hectares of area was produced. With appropriate ground control points, an absolute positional accuracy of 0.035 m RMSE was achieved, whereas the output obtained without using GCPs was satisfactory. This study also highlights the use of a High-Performance Computing (HPC) system and open-source platform for rapid image processing.

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The Application of Unmanned Aerial Vehicles (UAV) for Slope Mapping with the Determination of Potential Slope Hazards

Zolkepli

Ishak

Wahap

2022

Advanced Structured Materials

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Mapping Landslide Potential Area using Fault Fracture Density Analysis on Unmanned Aerial Vehicle (UAV) Image

Cited by 7 publications

References 4 publications

Ground Surface Deformation Detection in Complex Landslide Area—Bobonaro, Timor-Leste—Using SBAS DInSAR, UAV Photogrammetry, and Field Observations

Ground Surface Deformation Detection in Complex Landslide Area—Bobonaro, Timor-Leste—Using SBAS DInSAR, UAV Photogrammetry, and Field Observations

Use of unmanned aerial vehicle (UAV) for mapping, and accuracy assessment of the orthophoto with and without using GCPs: A case study in Nepal

The Application of Unmanned Aerial Vehicles (UAV) for Slope Mapping with the Determination of Potential Slope Hazards

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