Using the phantom 4 RTK drone for photogrammetry to create topographic plan of road
Drone photogrammetry is a swift, inexpensive, accurate, and detailed procedure that makes it possible to obtain pictures for the creation of a high spatial resolution Digital Terrain Model (DTM) with enhanced planimetric and altimetric precision. It also provides the possibility of cartographic land...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_05001.pdf |
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| Summary: | Drone photogrammetry is a swift, inexpensive, accurate, and detailed procedure that makes it possible to obtain pictures for the creation of a high spatial resolution Digital Terrain Model (DTM) with enhanced planimetric and altimetric precision. It also provides the possibility of cartographic land use. Study site: the experiment was carried out in a mountain area using a Phantom 4 RTK drone over the road connecting Demnate to Aït Bouguemez in the province of Azilal. The results were processed with Agisoft software running a TIN (Triangulated Irregular Network) based algorithm for a geometric classification (ground vs above ground). This was followed by manual intervention to increase the accuracy of the desired output. Image processing and classification helped to build a Digital Terrain Model with an altimetric RMSE of 5 cm - just 3 cm for planimetric error. This extreme accuracy is valuable when performing tasks that demand great precision, like building a detailed road development plan.Drone photogrammetry excels in the development of roads, highway, and many other tasks mainly thanks to its speed, cost-effectiveness and detail. In this paper, the results show that this technique produces high- fidelity images and can make a DTM with high precision. This higher accuracy leads to informed decisions in the planning and implementation of road work. |
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| ISSN: | 2267-1242 |