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The process of generating a comprehensive point cloud from the raw data collected at Mayfield involved three distinct steps. Firstly, Pix4D was utilized to process and analyze the data. This was followed by the utilization of Register 360 to further refine and align the collected data. Finally, Cyclone was used to complete the point cloud generation process, ensuring that the resulting point cloud was as detailed and accurate as possible. The combination of these three steps allowed for the creation of a comprehensive point cloud that could be utilized for a variety of applications, ranging from surveying and mapping to construction and design.Damage reconnaissance of historical buildings affected by tornado loading
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Terrestrial Lidar Point Cloud Data for: Evaporation and condensation dynamics within saturated epiphyte communities in a Quercus virginiana forest
Terrestrial lidar scans were captured using a BLK360 scanner (Leica Geosystems, Norcross, GA, USA) which has a range of 0.5 – 45 m and measurement rate up to 680,000 points s−1 at the high-resolution setting. A georeferenced, 3-D point cloud of the study site was generated from 12 scans, approximately 50 m apart in both horizontal directions. Scans were performed in orientations intended to maximize branch exposure to the scanner and to scan during optimal weather conditions to minimize occlusion of features due to noise or movement generated by wind. Scan co-registration was done in Leica Geosystem’s Cyclone Register 360 software using its Visual Simultaneous Localization and Mapping algorithm (Visual SLAM) and resulted in relatively low overall co-registration error ranging from 0.005-0.009 m. From this study site point cloud, manual straight-line measurements from the ground to the sensors were made using Leica’s Cyclone Register 360 software.
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- Award ID(s):
- 1954538
- PAR ID:
- 10539635
- Publisher / Repository:
- Zenodo
- Date Published:
- Subject(s) / Keyword(s):
- Epiphytes Rainfall Condensation Dew Evaporation Interception Lidar
- Format(s):
- Medium: X
- Right(s):
- Creative Commons Attribution 4.0 International
- Sponsoring Org:
- National Science Foundation
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