PS E (Chapter II, Evans Dissertation)

This is drone product set E from Chapter II of Alexandra's dissertation.The orthomosaic and DSM show Beards Creek in Durham, NH, USA. The imagery was collected on May 30, 2018 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E号无人机产品集。正射影像镶嵌图（orthomosaic）与数字表面模型（DSM）展示了美国新罕布什尔州达勒姆市的比尔德溪（Beards Creek）区域。该影像采集于2018年5月30日，搭载设备为大疆精灵3专业版（DJI Phantom 3 Professional）无人机。请注意，仅在分析该区域的相对地形时，高程数值才具备可靠性。在运动恢复结构（SfM）处理流程中，采用无人机内置GPS进行地理配准，但EXIF元数据提供的海拔测量值存在误差。经与ArcGIS底图进行配准校验后，该数据集的XY坐标位置具备更高可靠性。本无人机产品集的相对精度满足第二章的研究需求。采用自动化无人机飞行航线采集了天底视角与倾斜航拍影像，确保了足够的影像重叠度，以支持Agisoft PhotoScan Professional中的SfM处理流程。由PhotoScan生成的报告中包含了SfM处理流程与无人机产品集的更多细节信息。如需了解该无人机产品集与本项目的更多细节，请参考亚历山德拉于新罕布什尔大学提交的学位论文。本数据集的制作依托于美国国家科学基金会（National Science Foundation, NSF）EPSCoR资助的项目"RII Track-2 FEC：强化大坝决策的科学基础：生态、社会与经济权衡的多尺度耦合系统研究"（又名"大坝的未来"）。本项目由美国国家科学基金会研究基础设施改进项目（NSF #IIA-1539071）提供资助。本材料中表达的任何观点、发现、结论或建议仅代表作者本人，并不一定代表美国国家科学基金会的官方立场。