Improving the Accuracy of RTK-GNSS Data in Digital Elevation Model

Elshewy, Mohamed; Albert, Yunusov G.; Amr, Elsheshtawy M.

doi:10.1145/3397056.3397071

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Then, it was developed into commercial, scientific, recreational, agricultural, archaeological and other applications. Drones are commonly used in applications where the operating site cannot be accessed by land vehicles or applications that require an in-flight or airborne view of the selected site (Mohamed et al, 2020;Sun et al, 2018). The UAV flight may operate with various autonomy degrees, either remotely piloted by a human operator or autonomously by onboard computers or mobile applications.…”

Section: Introductionmentioning

confidence: 99%

Evaluation On Different UAV’s Georeferencing Points to Generate Accurate Orthophoto and Digital Terrain Model

ZAIDI¹,

Tahar²

2021

BEJ

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UAV or drone application of autonomy ranging can be divided into several levels, from basic hovering and position over trajectory tracking and waypoint navigation to fully autonomous navigation. This study used the DroneDeploy application for an autonomous flight mission. It is the process of taking photographs from an aircraft or other flying objects with a camera mounted on them to produce a three-dimensional (3D) map from the images captured, including a digital terrain model (DTM) and orthophotos. As for this study, the same output will be generated, but different flight parameter applications were used. Therefore, the study determined the optimum number of ground control points (GCPs) and evaluated the accuracy of the final results for each flight design. Acquired data were processed using the Pix4D modeller software due to the user-friendly factor and faster processing rate offered by the software. The results were analysed, and recommendations were made for future study improvement and to avoid similar problems. This study is useful for the mapping industry to achieve high accuracy results. Keywords: Aerial photogrammetry, Flight Parameter, UAV apps, DTM, Orthophotos, GCPs

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Section: Introductionmentioning

confidence: 99%

Evaluation On Different UAV’s Georeferencing Points to Generate Accurate Orthophoto and Digital Terrain Model

ZAIDI¹,

Tahar²

2021

BEJ

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Generating digital elevation model from farm fields using smartphone

Pazouki

2022

Earth Sci Inform

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Inventory of natural processes with nautical charts, real-time kinematic global navigation satellite systems (RTK-GNSS), and unmanned aerial vehicle (UAV), Trindade Island, Brazil

et al. 2022

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The volcanic Trindade Island is a remote Brazilian offshore territory in the South Atlantic, located ca. 1.140 kilometers east of the southeast coast of Brazil. The island's permanent exposure to geological hazards requires assessment. However, the lack of erosion and landslides temporal data impedes predictive geohazard analyses. Therefore, we compiled pre-existing data from nautical charts and surveyed the surface terrain on Trindade Island to generate Digital Terrain Models (DTMs) and comparative accuracy analyses. The DTM based on pre-existing data shows the lowest accuracy (root mean square error -RMSE: 12.3 m) yet is adequate for regional studies. In contrast, the DTM developed from real-time kinematic global navigation satellite systems (RTK-GNSS) has the highest vertical accuracy (RMSE: 0.48 m), but spatial variability of ground elements was underestimated and limited to meter-sized (and larger) elements. The DTM obtained using the unmanned aerial vehicle (UAV) with ground control points (GCP), on the other hand, presented lower accuracy (RMSE: 2.37 m) than the RTK-GNSS model but still allowed observation of centimetric (and larger) ground features. For geohazard assessment on Trindade Island, models that allow fine-scale studies are needed. A UAV with GCP provides such standards and proved to be the most viable option in remote and complex sites as well. Hence, this study, the first to allow multi-temporal analysis of geohazard assessment on Trindade Island, offers a viable solution for similar analyses in other remote locations.

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Improving the Accuracy of RTK-GNSS Data in Digital Elevation Model

Cited by 3 publications

References 7 publications

Evaluation On Different UAV’s Georeferencing Points to Generate Accurate Orthophoto and Digital Terrain Model

Evaluation On Different UAV’s Georeferencing Points to Generate Accurate Orthophoto and Digital Terrain Model

Generating digital elevation model from farm fields using smartphone

Inventory of natural processes with nautical charts, real-time kinematic global navigation satellite systems (RTK-GNSS), and unmanned aerial vehicle (UAV), Trindade Island, Brazil

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