Initial insights into the development and implementation of a citizen-science drone-based coastal change monitoring program in the Great Lakes region
Initial insights into the development and implementation of a citizen-science drone-based coastal change monitoring program in the Great Lakes region
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DOI：
10.1016/j.jglr.2022.01.011
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发表时间：
2022-02
影响因子：
2.2
通讯作者：
E. Theuerkauf;Erin L. Bunting;Elizabeth A. Mack;Lucas A. Rabins
中科院分区：
文献类型：
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作者：
E. Theuerkauf;Erin L. Bunting;Elizabeth A. Mack;Lucas A. Rabins
需要高分辨率时空数据来改进沿海管理计划，特别是在五大湖沿岸，那里的湖水位波动给沿海决策和规划带来了挑战。不幸的是，沿海变化监测数据集很少，特别是那些记录大空间范围内事件规模变化的数据集。由于整个地区海岸类型面积大、范围广，数据的匮乏更加雪上加霜。民间科学家收集的无人飞行器 (UAV) 或无人机数据是应对这一挑战的潜在解决方案。然而，五大湖地区不存在公民科学海岸变化监测计划，美国任何地方也不存在基于无人机的综合海岸变化监测计划。为了为基于无人机的公民科学项目的发展提供信息，本文的目标是描述密歇根州五大湖沿岸公民科学海岸变化监测项目的开发和实施。参与该项目的公民通过两种方式生成图像：(1) 通过为该项目开发的名为 PicShores 的网络应用程序提交海岸变化或危险的照片；(2) 无人机收集测量质量的航空图像，用于生成正射图像和数字高程模型 (DEM)。本文介绍了用于制定公民科学监测计划的方法、公民科学监测的一些初步发现，并探讨了该计划的一些挑战和后续步骤。
High-resolution spatio-temporal data are needed to improve coastal management programs, particularly along the Great Lakes where lake level fluctuations pose challenges to coastal decision-making and planning. Unfortunately, there is a paucity of coastal change monitoring datasets, particularly those that document event-scale changes over a large spatial scale. This paucity of data is compounded by the large size and range of shore types throughout the region.Unoccupied aerial vehicle (UAV) or drone data collected by citizen scientists are a potential solution to this challenge. However, no citizen science coastal change monitoring program exists in the Great Lakes region, nor does a comprehensive drone-based coastal change monitoring programs exist anywhere in the United States. To inform the development of drone-based citizen science programs, the goal of this paper is to describe the development and implementation of a citizen science coastal change monitoring program along the Great Lakes shores of Michigan. The citizens participating in this project generate imagery in two ways: (1) the submission of photos of coastal changes or hazards via a web app developed for the project called PicShores and (2) drone collection of survey-quality aerial imagery for use in the generation of orthomosaic images and digital elevation models (DEMs). This paper presents the methods utilized to develop the citizen science monitoring program, some initial findings from the citizen science monitoring, and explores some challenges and next steps for the program.