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[2020-7-24] Beaver Dams Drone Orthomosaic, Digital Surface Model, and Processing Report

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DataCite Commons2021-08-03 更新2024-07-28 收录
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https://figshare.com/articles/dataset/_2020-7-24_Beaver_Dams_Drone_Orthomosaic_Digital_Surface_Model_and_Processing_Report/13084964
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This is the drone orthomosaic, digital surface model (DSM), and PhotoScan-generated report for the July 24, 2020 sampling date for the Evans et al. Sawyer Mill dam removal study. This data is for the beaver dam 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.

本数据集涵盖Evans等人开展的Sawyer Mill大坝拆除研究中,2020年7月24日采样时段对应的无人机正射影像、数字表面模型(Digital Surface Model,DSM)以及由Agisoft PhotoScan生成的研究报告。本数据覆盖美国新罕布什尔州多佛市Bellamy河的海狸坝研究区域。研究采用DJI Phantom 3 Professional小型无人机系统采集航空影像,影像后处理工作在Agisoft PhotoScan Professional软件中完成,野外实测数据由Topcon Hiper Lite+设备采集获取。 本数据集产物的XY坐标系采用WGS 84基准,垂直基准面为NAVD88,单位为米。如需了解本数据集产物的更多细节,请参阅Evans等人发表的《Sawyer Mill大坝拆除水库响应》研究手稿。该数据集同时被应用于Alexandra于2021年在新罕布什尔大学完成的博士学位论文。 本研究材料依托美国国家科学基金会(National Science Foundation,NSF)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”(又称“大坝的未来”)制作完成。本项目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、结论及建议仅代表作者本人,未必反映美国国家科学基金会的官方立场。
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figshare
创建时间:
2021-02-02
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