Calculations for the Sawyer Mill Dam Removal Reservoir Response Manuscript Vegetation Structure Percent Cover Estimates and Plot Method Comparisons

These are the spreadsheets used in the Evans et al. Sawyer Mill dam removal reservoir response manuscript for calculating the comparisons between the SfM/ML classified vegetation cover and conventionally estimated vegetation cover within the vegetation plot assessment radii, as well as the numbers behind the landcover percent estimates from the drone landscape level perspective. Please see the spreadsheets and the manuscript for additional details.
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.

本批电子表格应用于埃文斯等人（Evans et al.）撰写的《索耶米尔大坝拆除库区响应》研究稿件，用于计算运动恢复结构（Structure from Motion，SfM）与机器学习（Machine Learning，ML）分类得到的植被覆盖度，与植被样地评估半径范围内传统方法估算的植被覆盖度之间的对比结果，同时涵盖无人机景观尺度视角下土地覆盖百分比估算值的相关数值。如需更多细节，请查阅本批电子表格及该研究稿件。
本材料依托美国国家科学基金会（National Science Foundation，NSF）实验竞争性研究项目（EPSCoR）资助的“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”）开发。本项目由美国国家科学基金会研究基础设施改进项目提供资助，资助编号为NSF #IIA-1539071。本材料中所表达的任何观点、发现、结论或建议均仅代表作者本人，并不一定反映美国国家科学基金会的官方立场。