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 |
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