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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| Affiliation: | 1. Department of Geography, Environment and Spatial Sciences, Michigan State University, East Lansing, MI, USA;2. Remote Sensing and GIS Research and Outreach Services, Michigan State University, East Lansing, MI, USA;1. Great Lakes Center, SUNY Buffalo State, 1300 Elmwood Avenue, Buffalo, NY 14222, USA;2. NOAA Great Lakes Environmental Research Laboratory, Lake Michigan Field Station, 1431 Beach St., Muskegon, MI 49441, USA;3. Cornell University, Department of Natural Resources and Cornell University Biological Field Station, 900 Shackelton Point Road, Bridgeport, NY 13030, USA;4. ORISE (Oak Ridge Institute for Science and Education), 100 ORAU Way, Oak Ridge, TN 37830, USA;1. Natural Resources Department, Sault Ste. Marie Tribe of Chippewa Indians, 2428 Shunk Rd, Sault Ste. Marie, MI Resources 49783, USA;2. Michigan Department of Natural Resources, Charlevoix Fisheries Research Station, 96 Grant Street, Charlevoix, MI 49720, USA;3. Michigan State University, 480 Wilson Rd, East Lansing, MI 48824, USA;4. Little Traverse Bay Bands of Odawa Indians, 7500 Odawa Circle, Harbor Springs, MI 49740, USA;1. Department of Civil and Environmental Engineering, University of Windsor, Windsor, ON, Canada;2. Environment and Climate Change Canada, Water Science and Technology, Canada Centre for Inland Waters, Burlington, ON L7S 1A1, Canada;3. UWA School of Agriculture and Environment, The University of Western Australia, 35 Stirling Hwy, M004, Crawley, WA 6009, Australia;1. Department of Biology, Clarkson University, Potsdam, NY 13699, United States;2. Institute for a Sustainable Environment, Clarkson University, Potsdam, NY 13699, United States;3. Département des Sciences de l’Environnement, Université du Québec à Trois-Rivières, CP 500, Trois-Rivières, QC G9A 5H7, Canada;1. US Environmental Protection Agency, Office of Research and Development, 2000 Traverwood Drive #C59, Ann Arbor, MI 48105, USA;2. General Dynamics Information Technology, Falls Church, VA 22042, USA;3. US Environmental Protection Agency, Office of Research and Development, Duluth, MN, USA;4. US Environmental Protection Agency, National Student Services Contract, Office of Research and Development, Duluth, MN, USA;1. Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN 47907, USA;2. Illinois-Indiana Sea Grant, Purdue University, West Lafayette, IN 47907, USA;3. U.S. Geological Survey, Great Lakes Science Center, Ann Arbor, MI 48105, USA;4. Michigan Department of Natural Resources, Alpena Fisheries Research Station, Alpena, MI 49707, USA |
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| Abstract: | 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. |
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| Keywords: | Coastal resilience Drones Great Lakes of North America |
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