UAV PHOTGRAMMETRIC WORKFLOWS: A BEST PRACTICE GUIDELINE

9 citations as recorded by crossref.

1. Plant Disease Diagnosis Using Deep Learning Based on Aerial Hyperspectral Images: A Review L. Kuswidiyanto et al. 10.3390/rs14236031
2. Developing a street level walkability index in the Philippines using 3D photogrammetry modeling from drone surveys C. Boongaling et al. 10.1007/s10708-021-10441-2
3. An HBIM Methodology for the Accurate and Georeferenced Reconstruction of Urban Contexts Surveyed by UAV: The Case of the Castle of Charles V A. Sanseverino et al. 10.3390/rs14153688
4. A Review of Emerging Technologies for an Assessment of Safety and Seismic Vulnerability and Damage Detection of Existing Masonry Structures M. Stepinac & M. Gašparović 10.3390/app10155060
5. Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping A. Dachauer et al. 10.5194/tc-15-5513-2021
6. Potential Use of Drone Ultra-High-Definition Videos for Detailed 3D City Modeling B. Alsadik & Y. Khalaf 10.3390/ijgi11010034
7. Structure from Motion of Multi-Angle RPAS Imagery Complements Larger-Scale Airborne Lidar Data for Cost-Effective Snow Monitoring in Mountain Forests P. Broxton & W. van Leeuwen 10.3390/rs12142311
8. Centimetric Accuracy in Snow Depth Using Unmanned Aerial System Photogrammetry and a MultiStation F. Avanzi et al. 10.3390/rs10050765
9. The Use of Unmanned Aerial Vehicles in the 3D Documentation of Historical and Cultural Heritage: The Case of Ceyhan Kurtkulağı Caravanserai E. Arslan & A. Şekertekin 10.35414/akufemubid.1389048