[2019-7-30] Sediment Area Drone Orthomosaic, Digital Surface Model, and Processing Report

This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the July 30, 2019 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the sediment study area on the Bellamy River in Dover, NH, USA. A DJI Phantom 3 Professional small unmanned aerial system was used to collect the aerial imagery. The imagery was processed in Agisoft PhotoScan Professional. A Topcon Hiper Lite+ was used to collect the survey data. <br>The products' XY is in WGS 84, and the vertical datum corresponds to NAVD88 in meters. Please see the Evans et al. Sawyer Mill dam removal reservoir response manuscript for additional information on the products. This product set was also used in Alexandra's dissertation (University of New Hampshire, 2021).<br><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.

本数据集为埃文斯等人（Evans et al.）索耶米尔大坝拆除研究项目2019年7月30日采样日期对应的无人机正射影像图（orthomosaic）、数字表面模型（Digital Surface Model, DSM）以及由Agisoft PhotoScan生成的报告。本数据对应美国新罕布什尔州多佛市贝拉米河沿岸的沉积物研究区域。<br>本次航空影像采集采用大疆（DJI）精灵3专业版（Phantom 3 Professional）小型无人机系统，影像处理工作在Agisoft PhotoScan专业版中完成，测量数据采集使用拓普康（Topcon）Hiper Lite+设备。<br>本产品集的XY坐标采用WGS 84坐标系，垂直基准面为NAVD88，单位为米。如需了解更多相关信息，请参阅埃文斯等人关于索耶米尔大坝拆除项目水库响应的研究手稿。本产品集同时被用于亚历山德拉2021年的新罕布什尔大学学位论文研究中。<br><br>本数据集依托美国国家科学基金会（National Science Foundation, NSF）促进竞争性研究实验计划（EPSCoR）资助的项目“RII Track-2 FEC：强化大坝决策科学基础——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”（Future of Dams））所提供的资源制作完成。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。<br>本材料中表达的任何观点、研究结果、结论或建议仅代表作者本人，不一定代表美国国家科学基金会的官方立场。