DEM Generation Based On UAV Photogrammetry

Mokrane, Adel; Choukchou-Braham, Amal; Cherki, Brahim

doi:10.1109/icaee47123.2019.9014805

Cited by 7 publications

(5 citation statements)

References 3 publications

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“…Dataset preparation. Aerial geotagged images were uploaded, and the image metadata extraction process was performed to obtain camera characteristics such as sensor type, lens size, and shutter speed, as well as the geographic information inherent to the photographic device [22].…”

Section: Open Drone Mapmentioning

confidence: 99%

“…In this study, they employed several metrics such as the number of key points per image, the number of points in the cloud, and the displacement of points in coordinates (X, Y, Z), while the planimetric and altimetric accuracy were employed for the analysis of the DEM and orthomosaic. Mokrane et al [22] performed a visual inspection and calculated the processing times for the generation of ortho-mosaics with data extracted from the Internet using Web Open Drone Map and GRASS GIS.…”

Section: Introductionmentioning

confidence: 99%

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Performance and precision analysis of 3D surface modeling through UAVs: validation and comparison of different photogrammetric data processing software

Mora-Félix,

Rangel-Peraza,

Monjardín-Armenta

et al. 2024

Phys. Scr.

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The planimetric and altimetric accuracies of the Digital Elevation Model (DEM) obtained from Unmanned Aerial Vehicle (UAV) depend on some photogrammetric parameters such as flight height, flight speed, and/or ground sample distance. In the last few years, the study of computer vision algorithms has increased focusing on their importance on the photogrammetric reconstruction process for land surface mapping. According to this, the main goal of this paper was to evaluate the performance of different photogrammetric processing software, such as Open Drone Map (ODM), Agisoft PhotoScan, and Pix4D, on DEM accuracy. For this purpose, a DJI Phantom 4 Pro drone was used for the acquisition of 600 images in a difficult topography area (630 ha) with 27 Ground Control Points (GCP) previously established. The photogrammetric products were generated, and a statistical analysis was carried out for the comparison of the DEMs. The results of the Root Mean Square Error (RMSE) show that the planimetric and altimetric accuracy of Agisoft PhotoScan (RMSExy = 0.514 m; RMSEz = 0.162 m) is greater than those obtained using Pix4D and ODM. Unsatisfactory results were obtained with ODM since deformations and high planimetric and altimetric errors were identified in the orthomosaic and DEM, which was related to inefficient key point detection and an incomplete mosaic construction process. Agisoft PhotoScan modeled the anthropogenic objects as part of the land surface, while Pix4d smoothed the terrain, eliminating these anthropogenic objects and not considering them as part of the ground surface.

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Section: Open Drone Mapmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance and precision analysis of 3D surface modeling through UAVs: validation and comparison of different photogrammetric data processing software

Mora-Félix,

Rangel-Peraza,

Monjardín-Armenta

et al. 2024

Phys. Scr.

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“…RGB imagery on the sub-decimeter scale was conducted with a DJI ZenmuseX5S RGB camera mounted on a DJI Inspire II UAS at a flight height of 70 m, resulting in a lateral resolution of 2 cm. Orthophotos and digital elevation models were generated based on structure-from-motion photogrammetry with the open-source software WebODM (Version 1.9.11, OpenDroneMap, 2022, see Mokrane et al, 2019;Vacca, 2020), that uses the structure-frommotion software library OpenSfM (OpenSfM, 2022) in combination with the Multi-View-Stereo (MVS, 2022) technique (Vacca, 2020). The geo-referenced point cloud data were used for the processing of DEMs with an inverse distance weighting interpolation method (Vacca, 2020;Karstens et al, 2022).…”

Section: Prerequisites For Virtual Environment Creationmentioning

confidence: 99%

From coastal geomorphometry to virtual environments

Gross,

Petersen,

Wallmeier

et al. 2023

Front. Mar. Sci.

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Communicating environmental change and mitigation scenarios to stakeholders and decision-makers can be challenging. Immersive environments offer an innovative approach for knowledge transfer, allowing science-based scenarios to be discussed interactively. The use of such environments is particularly helpful for the analysis of large, multi-component geospatial datasets, as commonly employed in the classification of ecosystems. Virtual environments can play an important role in conveying and discussing the findings gathered from these geomorphometric datasets. However, textured meshes and point clouds are not always well suited for direct import to a virtual reality or the creation of a truly immersive environment, and often result in geometrical artifacts, which can be misinterpreted during the import to a game engine. Such technical hurdles may lead to viewers rejecting the experience altogether, failing to achieve a higher educational purpose. In this study, we apply an asset-based approach to create an immersive virtual representation of a coastal environment. The focus hereby is on the coastal vegetation and changes in species distribution, which could potentially be triggered by the impact of climate change. We present an easy-to-use blueprint for the game engine EPIC Unreal Engine 5. In contrast to traditional virtual reality environments, which use static textured mesh data derived from photogrammetry, this asset-based approach enables the use of dynamic and physical properties (e.g. vegetation moving due to wind or waves), which makes the virtual environment more immersive. This will help to stimulate understanding and discussion amongst different stakeholders, and will also help to foster inclusion in earth- and environmental science education.

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“…A DJI ZenmuseX5S camera mounted on a DJI Inspire II UAV provided RGB imagery in sub-decimeter scale. Orthophotos and digital elevation models were generated based on structure-from-motion photogrammetry with the open-source software WebODM (Version 1.9.11, OpenDroneMap 2022, see Mokrane et al, 2019;Vacca, 2020). WebODM uses multiple techniques and software libraries to process aerial image data.…”

Section: Data Acquisition and Processingmentioning

confidence: 99%

Human-Induced Hydrological Connectivity: Impacts of Footpaths on Beach Wrack Transport in a Frequently Visited Baltic Coastal Wetland

Karstens

Kiesel

Petersen³

et al. 2022

Front. Mar. Sci.

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Coastal wetlands depend on vertical accretion to keep up with sea level rise in cases where embankment restricts accommodation space and landward migration. For coastal wetland survival, autogenic productivity (litter, root decay) as well as allogenic matter input are crucial. Beach wrack composed of seagrass and algae can serve as an important allogenic matter source, increase surface roughness, elevate the backshore, and influence the blue carbon budget. The objective of this study is to understand how human footpaths in a frequently accessed Baltic coastal wetland influence beach wrack transport and accumulation. Beach wrack monitoring during the winter storm season 2021/2022 was conducted in high spatial and temporal resolution with bi-weekly UAV flights. Object-based identification, segmentation, and classification of orthophotos with open-source software allowed the detection of beach wrack patches with a mean area of 0.6–2.7 m². Three major storm events occurred during the monitoring period (Arwen, Malik, Eunice). Regardless of wind speed or direction, the main accumulation zones remained stable. The east-west footpath that crosses the coastal wetland and connects the tourist hotspots served as a “highway” for water-mediated transport of beach wrack. Total area covered by beach wrack fluctuated between 1,793 and 2,378 m² with a peak after storm Malik in January 2022. The densely accumulated beach wrack along the main east-west footpath formed an elongated micro-cliff-like structure and limited landward transport. Additional aerial image analysis for the last 15 years showed that the position of the footpaths remained stable. This pioneering study offers first insights into the fate of beach wrack in an anthropogenically influenced Baltic coastal wetland where larger tidal channels that usually generate hydrological connectivity are missing. The identified transport patterns and accumulation hotspots are a starting point for further research on how beach wrack behaves in (waterlogged) coastal wetlands compared to decomposition on sandy beaches.

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DEM Generation Based On UAV Photogrammetry

Cited by 7 publications

References 3 publications

Performance and precision analysis of 3D surface modeling through UAVs: validation and comparison of different photogrammetric data processing software

Performance and precision analysis of 3D surface modeling through UAVs: validation and comparison of different photogrammetric data processing software

From coastal geomorphometry to virtual environments

Human-Induced Hydrological Connectivity: Impacts of Footpaths on Beach Wrack Transport in a Frequently Visited Baltic Coastal Wetland

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