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Title	Multi-source EO for dynamic wetland mapping and monitoring in the Great Lakes Basin
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Author	Battaglia, M J; Banks, S; Behnamian, A; Bourgeau-Chavez, L; Brisco, B; Corcoran, J; Chen, Z; Huberty, B; Klassen, J; Knight, J; Morin, P; Murnaghan, K; Pelletier, K; White, L
Source	Remote Sensing vol. 13, issue 4, 599, 2021 p. 1-38, https://doi.org/10.3390/rs13040599 Open Access
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Year	2021
Alt Series	Natural Resources Canada, Contribution Series 20200755
Publisher	MDPI AG
Document	serial
Lang.	English
Media	paper; on-line; digital
File format	pdf
Province	Ontario
Area	Canada; United States of America
Lat/Long WENS	-95.0000 -73.0000 51.0000 39.0000
Subjects	Science and Technology; wetlands; Great Lakes Basin; Land cover; change detection
Illustrations	location maps; tables; satellite imagery; graphs; diagrams
Released	2021 02 08
Abstract	Wetland 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.
GEOSCAN ID	328126