Large scale topographic mapping based on unmanned aerial vehicle and aerial photogrammetric technique

Ahmad, Mohammad; Ahmad, Anuar; Kanniah, Kasturi Devi

doi:10.1088/1755-1315/169/1/012077

Cited by 8 publications

(5 citation statements)

References 4 publications

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“…The result obtained using GPC is excellent and can be used for high-precision works. Previous studies, for example, done by [36,43,44] have given average RMSE of ± 0.05 m, ± 0.338 m, and ± 0.283m respectively for planimetry and ± 0.300 m, ± 0.704 m, and ± 0.178 m respectively for height. The accuracy result shown by this study is more promising.…”

Section: Orthophotomentioning

confidence: 94%

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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Section: Orthophotomentioning

confidence: 94%

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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“…Unmanned aerial vehicles (UAVs) are aircraft that can fly without a competent pilot and can quickly and cheaply cover a small area to create maps with sub-meter accuracy. Compared to traditional aerial photogrammetric techniques, an accurate large-scale topographic map can be created quickly (Ahmad et al, 2018).…”

Section: Uav Technologymentioning

confidence: 99%

Unmanned Aerial Vehicle Photogrammetric Products Accuracy Assessment: A Review

Rabiu

Ahmad²

2023

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

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Abstract. Digital photogrammetry is an effective way for gathering data for DEM extraction, and recent advances in recording techniques and data processing have allowed for higher resolution and faster rapid generation of photogrammetric 3D models result. The model has a spatial and spectral high-resolution advantage with good geometrical positioning accuracy. The DEM quality is the primary requirement for any application and must satisfy users’ requirement. The DEM quality is usually affected by several factors during acquisition and processing stages. Considerable researches have been conducted on several parameters influencing the DEM accuracy. The review focused on discussions on topics related to unmanned aerial vehicle DEM accuracy assessment. Five parameters were considered: UAV technology; UAV Georeferencing; UAV and computer vision; UAV and LiDAR; and UAV flight parameters. Summary of the methods, their strength, weakness and regions of the most recent articles are presented. Based on this review conclusion was drawn on the UAV DEM accuracy challenging issues that need more attention from the geospatial community and suggestions for future work are offered. But there might be other possible factors that are not treated in this paper.

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“…(3)(4)(5) Initially, studies were conducted to prove the possibility of cost-effective (6)(7)(8)(9) and largescale mapping. (10,11) Lee et al reported that stereo plotting using UAV images is possible in UAV photogrammetry, such as traditional aerial photogrammetry, and that maps created using the stereo plotting method are more accurate than maps created using the vectorization method. (12) Rosenell and Honkavaara conducted a study on the automatic generation of highquality dense point clouds from digital images through image matching as a cutting-edge digital photogrammetric technology.…”

Section: Introductionmentioning

confidence: 99%

Change Monitoring at Expressway Infrastructure Construction Sites Using Drone

Lee¹,

Song²,

Kim³

et al. 2020

Sensors and Materials

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Currently, unmanned aerial vehicles (UAVs) are used not only in mapping but also in various other fields such as forest research, search and rescue, and drone delivery. This study examines the possibility of deformation monitoring using UAVs at expressway construction sites in Korea. In this study, UAV photogrammetry was performed three times, and an orthophoto, digital surface model (DSM), and 3D topographic information model (TIM) of the construction site were produced through data processing. Furthermore, the construction status of the earthwork and structure work was verified with time-series images and overlapping of the 3D TIM with 2D computer-aided design (CAD) and 3D building information model (BIM) design drawings. It is concluded that it is possible to monitor deformation and construction management using UAV photogrammetry at expressway infrastructure construction sites. In addition, drones are expected to be widely used in construction sites.

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Large scale topographic mapping based on unmanned aerial vehicle and aerial photogrammetric technique

Cited by 8 publications

References 4 publications

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

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

Unmanned Aerial Vehicle Photogrammetric Products Accuracy Assessment: A Review

Change Monitoring at Expressway Infrastructure Construction Sites Using Drone

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