UAV PHOTGRAMMETRIC WORKFLOWS: A BEST PRACTICE GUIDELINE

8 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. Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping A. Dachauer et al. 10.5194/tc-15-5513-2021
3. 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
4. Potential Use of Drone Ultra-High-Definition Videos for Detailed 3D City Modeling B. Alsadik & Y. Khalaf 10.3390/ijgi11010034
5. 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
6. 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
7. Centimetric Accuracy in Snow Depth Using Unmanned Aerial System Photogrammetry and a MultiStation F. Avanzi et al. 10.3390/rs10050765
8. 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