Document Type
Article
Publication Date
2-8-2021
Department
Michigan Tech Research Institute
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.
Publication Title
Remote Sensing
Recommended Citation
Battaglia, M.,
Banks, S.,
Behnamian, A.,
&
Bourgeau-Chavez, L.
(2021).
Multi-source eo for dynamic wetland mapping and monitoring in the great lakes basin.
Remote Sensing,
13(4), 1-38.
http://doi.org/10.3390/rs13040599
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/14669
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Included in
Biogeochemistry Commons, Environmental Monitoring Commons, Fresh Water Studies Commons, Remote Sensing Commons
Publisher's Statement
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Publisher’s version of record: https://doi.org/10.3390/rs13040599