Drone LiDAR Application For 3D City Model

  • Afradon Aditya Setyawan Study Program of Technology Survey and Mapping, Vocational College, Universitas Gadjah Mada, Indonesia
  • Muhammad Iqbal Taftazani Study Program of Technology Survey and Mapping, Vocational College, Universitas Gadjah Mada, Indonesia
  • Syamsul Bahri Microdrones, USA
  • Erma Dwi Noviana Indonesia Ministry of Agrarian Affairs and Spatial Planning
  • Maritsa Faridatunnisa Geodetic Engineering, Faculty of Engineering, Universitas Gadjah Mada, Indonesia
Keywords: 3D model, smart city, Drone LiDAR

Abstract

The availability of spatial information in 3D in a city that will apply the smart city concept is minimal or even non-existent. This makes the information conveyed less clear and less accurate. 3D map presentation is an indispensable component in the visualization of smart cities. The acquisition of spatial information in 3D can use several methods, one of which is the LiDAR (Light Detection and Ranging) drone. The Drone LiDAR is one of the new technologies in mapping surveys. Initially, LiDAR technology used a manned aircraft and had very large dimensions. Technological developments have made LiDAR portable using drones. Data acquisition was carried out using a multirotor-type Drone LiDAR from microdrones with a flying height of 60 meters above the ground. An area of ​​6 hectares in the Bulaksumur UGM area is the object of research for the 3D city model building. The objects mapped would range from one-story to five-story buildings. The results of data acquisition in the form of a point cloud are then modeled into a 3D building with the micro station software plugin Terra Solid and Terra Model. Modeling is done using automatic and manual methods. The results obtained are in the form of a 3D city model with a LOD 2 level of detail. The amount of vegetation in the mapped area makes the point cloud detail on the front side of the building less dense. However, the accuracy obtained is quite high, ranging from 0,4 to 5,1 cm, making it suitable for making 3D city models with LOD 2 detailed specifications.

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References

Alkan, R. M., & Karsidag, G. (2012). Analysis of The Accuracy of Terrestrial Laser Scanning Measurements. 16.

Allwinkle, S., & Cruickshank, P. (2011). Creating Smart-er Cities: An Overview. Journal of Urban Technology, 18(2), 1–16. https://doi.org/10.1080/10630732.2011.601103

Biljecki, F. (2017). Level of detail in 3D city models [Delft University of Technology]. https://doi.org/10.4233/UUID:F12931B7-5113-47EF-BFD4-688AAE3BE248

He, Y., Zhang, C., Awrangjeb, M., & Fraser, C. S. (2012). AUTOMATED RECONSTRUCTION OF WALLS FROM AIRBORNE LIDAR DATA FOR COMPLETE 3D BUILDING MODELLING. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIX-B3, 115–120. https://doi.org/10.5194/isprsarchives-XXXIX-B3-115-2012

Ibadurohaman, A. (2015). Pemodelan Kota Tiga Dimensi Menggunakan Data LiDAR dan Foto Udara Format Medium. Laporan Tugas Akhir. Jurusan Teknik Geodesi. Universitas Gadjah Mada. Yogyakarta.

Ross, L. (2010). Virtual 3D City Models in Urban Land Management—Technologies and Applications. TU Berlin.

Rebecca (OC), dkk. 2014. “3D City Modelling from LiDAR Data”. Reaserch Gate, Chapter 10.

Soeta’at. (2009). Pengantar LiDAR : Konsep, Proyek dan Aplikasi. Universitas Gadjah Mada.

Staiger, R. (2003). Terrestrial Laser Scanning Technology, Systems and Applications. 10.

Vosselman, G., & Dijkman, S. (2001). 3D BUILDING MODEL RECONSTRUCTION FROM POINT CLOUDS AND GROUND PLANS. International Archives of Photogrammetry and Remote Sensing, XXXIV-3/W4, 7.

Yan, W. Y., Shaker, A., & El-Ashmawy, N. (2015). Urban land cover classification using airborne LiDAR data: A review. Remote Sensing of Environment, 158, 295–310. https://doi.org/10.1016/j.rse.2014.11.001

Yunfei, B., Guoping, L., Chunxiang, C., Xiaowen, L., Hao, Z., Qisheng, H., Linyan, B., & Chaoyi, C. (2008). CLASSIFICATION OF LIDAR POINT CLOUD AND GENERATION OF DTM FROM LIDAR HEIGHT AND INTENSITY DATA IN FORESTED AREA. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII(B3b), 6.

Zhou, Q. Y. and Neumann, U. (2008). Fast and extensible buildingmodeling from airborne lidar data. In Proc. of the 16th Inter-national Conference on Advances in Geographic InformationSystems, ACM GIS 2008.

Published
2022-04-19