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TitleMulti-source EO for dynamic wetland mapping and monitoring in the Great Lakes Basin
AuthorBattaglia, M J; Banks, S; Behnamian, A; Bourgeau-Chavez, LORCID logo; Brisco, B; Corcoran, J; Chen, Z; Huberty, B; Klassen, J; Knight, J; Morin, P; Murnaghan, K; Pelletier, K; White, L
SourceRemote Sensing vol. 13, issue 4, 599, 2021 p. 1-38, Open Access logo Open Access
Alt SeriesNatural Resources Canada, Contribution Series 20200755
PublisherMDPI AG
Mediapaper; on-line; digital
File formatpdf
AreaCanada; United States of America
Lat/Long WENS -95.0000 -73.0000 51.0000 39.0000
SubjectsScience and Technology; wetlands; Great Lakes Basin; Land cover; change detection
Illustrationslocation maps; tables; satellite imagery; graphs; diagrams
Released2021 02 08
AbstractWetland managers, citizens and government leaders are observing rapid changes in coastal wetlands and associated habitats around the Great Lakes Basin due to human activity and climate variability. SAR and optical satellite sensors offer cost effective management tools that can be used to monitor wetlands over time, covering large areas like the Great Lakes and providing information to those making management and policy decisions. In this paper we describe ongoing efforts to monitor dynamic changes in wetland vegetation, surface water extent, and water level change. Included are assessments of simulated Radarsat Constellation Mission data to determine feasibility of continued monitoring into the future. Results show that integration of data from multiple sensors is most effective for monitoring coastal wetlands in the Great Lakes region. While products developed using methods described in this article provide valuable management tools, more effort is needed to reach the goal of establishing a dynamic, near-real-time, remote sensing-based monitoring program for the basin.
Summary(Plain Language Summary, not published)
This article discusses how human activities and climate changes are affecting coastal wetlands and habitats in the Great Lakes Basin. Wetland managers, citizens, and government leaders are concerned about these rapid changes. To address this, the researchers explore the use of satellite sensors, including SAR (Synthetic Aperture Radar) and optical sensors, as cost-effective tools for monitoring wetlands.
The study focuses on tracking changes in wetland vegetation, surface water extent, and water levels. It also assesses the feasibility of using Radarsat Constellation Mission data for ongoing monitoring.
The key finding is that combining data from multiple sensors is the most effective way to monitor coastal wetlands in the Great Lakes region. The information collected can be valuable for management and policy decisions. However, the article also highlights the need for more effort to establish a real-time remote sensing-based monitoring program for the Great Lakes Basin. This research contributes to our understanding of how technology can help us keep a close eye on these vital ecosystems and address the challenges they face.

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