Land surveying with UAV photogrammetry and LiDAR for optimal building planning
Technical University of Civil Engineering of Bucharest · Technical University of Cluj-Napoca · +5 more institutions
Abstract
Accurate land surveys are fundamental for optimal building planning, as topography bridges architecture and landscape. This paper proposes a Digital Feature Model (DFM) that integrates UAV photogrammetry and LiDAR data to optimize terrain mapping. UAV photogrammetry provides high-accuracy mapping of textured anthropic surfaces, while LiDAR excels in penetrating vegetation-covered areas. By segmenting and fusing datasets from both sensors, the DFM enhances accuracy across diverse terrain conditions. In a built environment case study, 233 measured points representing ground, vegetation, and anthropic features were analyzed to validate the methodology. The DFM achieved a vertical RMSE of 0.075 m, outperforming…
Citation impact
- FWCI
- 83.88
- Percentile
- 100%
- References
- 74
Authors
7- PSPaul Sestraș
Technical University of Civil Engineering of Bucharest, Technical University of Cluj-Napoca, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, Academia Oamenilor de Știință din România
- GBGheorghe Badea
Technical University of Civil Engineering of Bucharest
- ACAna Cornelia Badea
Technical University of Civil Engineering of Bucharest
- TSTudor Sălăgean
Technical University of Civil Engineering of Bucharest, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca
- SRSanda Roșca
Babeș-Bolyai University, Academia Oamenilor de Știință din România
Topics & keywords
- Photogrammetry
- Lidar
- Remote sensing
- Computer science
- Construction engineering
- Engineering
- Geography
- Sustainable cities and communities