PS Y (Chapter II, Evans Dissertation)

This is drone product set Y from Chapter II of Alexandra's dissertation.The orthomosaic and DSM show the Pawcatuck riparian area in Bradford, RI, USA. The imagery was collected on July 25, 2019 using a DJI Phantom 3 Professional drone. Note that the elevation values are only reliable for examining relative topography across the site. The built-in drone GPS was used for georeferencing during SfM processing, and the EXIF data provided inaccurate altitude measurements. The XY locations are more reliable based on checks against alignment with base maps in ArcGIS. The drone PS' relative accuracy was deemed acceptable for the purposes in Chapter II. Automated drone flight paths were used to collect nadir and angled aerial images with sufficient image overlap for SfM processing in Agisoft PhotoScan Professional. The PhotoScan-generated report includes additional details on the SfM processing workflow and on the drone products.Please see Alexandra's dissertation (University of New Hampshire) for more information on the drone products and project.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.

本数据集为亚历山德拉学位论文第二章中的Y号无人机产品集。正射影像图（orthomosaic）与数字表面模型（DSM）展示了美国罗德岛州布拉德福德地区的波卡特克特河岸带。影像采集于2019年7月25日，搭载设备为DJI精灵3专业版（Phantom 3 Professional）无人机。

需注意，该数据集的高程数值仅可用于评估研究区域内的相对地形特征。运动恢复结构（Structure from Motion，SfM）处理过程中，采用无人机内置GPS完成地理配准，但EXIF（可交换图像文件格式，Exchangeable Image File Format）数据提供的海拔测量结果存在偏差。经与ArcGIS底图比对核验后确认，XY平面坐标的可靠性更高。本无人机产品集的相对精度符合第二章研究的既定要求。

本次影像采集采用自动化飞行航线，获取了具备充足重叠度的天底视角与倾斜视角航空影像，以用于Agisoft PhotoScan Professional的SfM处理流程。由该软件生成的处理报告包含了SfM工作流与无人机产品的详细信息。

如需了解该无人机产品集与项目的更多细节，请参阅亚历山德拉的学位论文（新罕布什尔大学，University of New Hampshire）。本研究依托美国国家科学基金会（National Science Foundation, NSF）实验项目以促进州级研究（EPSCoR）资助项目“RII Track-2 FEC：强化大坝决策科学基础：多尺度耦合系统生态、社会与经济权衡研究”（又名“Future of Dams”）开展。本项目同时获得美国国家科学基金会研究基础设施改进项目资助，资助编号为NSF #IIA-1539071。本材料中表达的任何观点、发现、结论或建议均为作者本人所有，不代表美国国家科学基金会的官方立场。