five

Sawyer Mill Dam Removal Project Sediment Area Drone Flight Paths

收藏
Figshare2021-05-25 更新2026-04-08 收录
下载链接:
https://figshare.com/articles/dataset/Sawyer_Mill_Dam_Removal_Project_Sediment_Area_Drone_Flight_Paths/14674056/1
下载链接
链接失效反馈
官方服务:
资源简介:
These are the automated drone flight paths for the sediment area of the Evans et al. Sawyer Mill dam removal study in Dover, New Hampshire, USA. These flight paths are specific to the reservoir response manuscript. A DJI Phantom 3 Professional drone with its original RGB camera equipped with a polarizing filter was used for the study.<br>All flight paths are available as csv files that were exported out of the Litchi mission hub. The pdf file contains screenshots of the paths in DJIFlightPlanner and Litchi. For information on the Litchi flight app, please see their website here: https://flylitchi.com/. The same set of flight paths were flown in both 2019 and 2020 to keep imagery collection consistent. Nadir flight paths had 80% side image overlap and 90% forward image overlap set in DJIFlightPlanner. The imagery angle for the angled flight paths was set to 20 degrees off nadir (-70 gimbal pitch in Litchi), and the paths of the angled flights were manually drawn in Litchi to supplement the nadir flight paths that were designed in DJIFlightPlanner.<br>For the sediment area, the altitude of the drone was set to 100 feet above ground level. Please note that since Litchi only allowed up to 99 waypoints per flight path, the angled 1 flight path had to be partially manually traced towards the end and was sometimes cut short due to battery life restrictions towards the end of the flight. <br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
创建时间:
2021-05-25
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作