CoPe EAGER: Development of a Drone-Based Coastal Change Monitoring Program through Citizen Science Partnership and Capacity Building

CoPe EAGER：通过公民科学合作和能力建设开发基于无人机的海岸变化监测计划

• 批准号: 1939979
• 负责人: Erin Bunting
• 金额: $ 30万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1939979&HistoricalAwards=false
• 关键词: CoPe; EAGER; Development; Drone; Based; CoPe; EAGER; Development; Drone; Based

The severity of coastal hazards (e.g. erosion) requires better data and quantitative assessments to understand the physical changes to coastlines, their causes, and rates of change, and to develop evidence-based hazard mitigation strategies and policies. To address this need, this grant will conduct a pilot program (IC-CREAM): Interdisciplinary Citizen-based Coastal REmote Sensing for Adaptative Management) to test hypotheses about the feasibility and scientific value of a citizen-science approach to creating a localized, repeat aerial image database on coastal processes in the Great Lakes. The intellectual merit of this cross-disciplinary, mixed methods project will make several scientific advancements relevant to the fields of remote sensing, GIScience, coastal science, geomorphology, and geography. Using citizen-operated drones is a new approach to collecting remotely sensed high-resolution time series imagery about landscape change and processes. Citizen science monitoring with drones and smartphones will allow for the documentation of the impacts of coastal change across a broader geographic region than is currently possible. New and better data generated during this project is critical for improving modeling and assessments of coastal change, and for engaging communities on the topic of coastal resilience because the citizen-science collaboration offers a new way to get communities involved in developing sustainable coastal management strategies. Training graduate and undergraduate students in coastal geomorphology, remote sensing, and community engagement will be key component of this grant. Students participating in this project will develop field and laboratory skills associated with drone operations as well as strong communication skills through their participation in the community engagement workshops and on-going support and coordination with the citizen scientists.This grant will train a team of citizen scientists composed of practitioners and community stakeholders to collect repeat aerial imagery, via an unoccupied aerial system (UAS), of coastal sites in six communities along Lakes Michigan, Huron, and Superior to document erosion and accretion associated with fluctuating water levels, storms, and human interventions. The long-term goal is to compile a database of localized, repeat imagery of coastal areas across the Great Lakes region to understand their physical changes, root causes of these physical changes, and the associated environmental, social, and economic impacts. This project will evaluate: (1) whether properly trained and supervised community-member citizen scientists can generate high quality data across a broad spatial scale that contributes to scientific research on local and regional coastal processes and (2) whether engaging community stakeholders in rigorous scientific investigations improves the public?s understanding of coastal processes and hazards enhances the capacity for proactive decision-making. Citizen scientists will be trained on the basics of UAS operation, data collection, and FAA regulations in order to pass the FAA part 107 exam and become certified remote pilots. They will then collect repeat aerial imagery of beaches, bluffs, and dunes (seasonal and before/after storms). Images will be processed using structure-from-motion photogrammetry into digital surface models (DSMs). These DSMs, along with the aerial images, will be analyzed to quantify coastal geomorphic change. Results will be shared with the citizen scientists who will assist the research team in communicating the findings publicly. Interviews and surveys will be conducted with citizen scientists and community stakeholders to evaluate whether the coupled researcher/citizen scientist approach is beneficial for educating the public on coastal change / hazards as well as assisting in making informed coastal management decisions. This project will be the first step towards developing a collaborative and coordinated researcher and stakeholder network focused on coastal hazards in the Great Lakes and will be a model for other coastal regions nationally.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

沿海危害的严重程度（例如侵蚀）需要更好的数据和定量评估，以了解海岸线，其原因和变化率的身体变化，并制定基于证据的缓解危险策略和政策。为了满足这一需求，该赠款将进行试点计划（IC-Cream）：基于跨学科的沿海遥感对适应性管理的沿海遥感），以测试有关公民科学方法的可行性和科学价值的假设，以创建一个局部化的，重复的空中图像数据库在大湖区的沿海过程中。这个跨学科，混合方法项目的智力优点将使几个科学进步与遥感，司法，沿海科学，地貌和地理学领域有关。使用公民经营的无人机是一种新的方法，用于收集有关景观变化和过程的远程感知的高分辨率时间序列图像。使用无人机和智能手机监测的公民科学监测将允许记录比目前更广泛的地理区域沿海变化的影响。在此项目中产生的新的，更好的数据对于改善沿海变化的建模和评估以及使社区参与沿海韧性的主题至关重要，因为公民科学的合作提供了一种新的方式，可以使社区参与制定可持续的沿海管理策略。沿海地貌学，遥感和社区参与的培训研究生和本科生将是这笔赠款的关键组成部分。 Students participating in this project will develop field and laboratory skills associated with drone operations as well as strong communication skills through their participation in the community engagement workshops and on-going support and coordination with the citizen scientists.This grant will tr​​ain a team of citizen scientists composed of practitioners and community stakeholders to collect repeat aerial imagery, via an unoccupied aerial system (UAS), of coastal sites in six communities along Lakes Michigan,休伦（Huron），优于与波动的水位，风暴和人类干预相关的侵蚀和积聚。长期的目标是编译大湖地区沿海地区的本地重复图像的数据库，以了解它们的身体变化，这些物理变化的根本原因以及相关的环境，社会和经济影响。该项目将评估：（1）是否经过适当训练和受到监督的社区成员的公民科学家能否在广泛的空间规模上产生高质量的数据，这有助于对地方和地区的沿海过程进行科学研究，以及（2）（2）使社区利益相关者参与严格的科学研究是否能改善公众对沿海过程和危险能力的理解，从而提高了能力的能力。公民科学家将接受UAS操作，数据收集和FAA法规的基础知识的培训，以通过FAA第107部分考试并成为经过认证的远程飞行员。然后，他们将收集重复的海滩，虚张声势和沙丘的空中图像（季节性和暴风雨后/之后）。图像将使用从摄影测量法进行摄影测量法处理成数字表面模型（DSM）。这些DSM以及空中图像将进行分析以量化沿海地貌变化。结果将与将协助研究团队公开交流研究结果的公民科学家分享。访谈和调查将与公民科学家和社区利益相关者进行，以评估耦合的研究人员 /公民科学家方法是否有利于对公众进行沿海变化 /危害以及协助做出知情的沿海管理决策。该项目将是开发一个针对大湖区沿海危害的协作和协调的研究人员和利益相关者网络的第一步，并将成为全国其他沿海地区的典范。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力和更广泛影响的评估来审查CRITERIA的评估。