4.7 Article

Multi-Source EO for Dynamic Wetland Mapping and Monitoring in the Great Lakes Basin

期刊

REMOTE SENSING
卷 13, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/rs13040599

关键词

SAR; wetlands; surface water extent; land cover; change detection

资金

  1. U.S. Department of Interior
  2. U.S. Fish and Wildlife Service
  3. Great Lakes Restoration Initiative

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This paper discusses the use of SAR and optical satellite sensors to monitor changes in coastal wetlands and habitats around the Great Lakes Basin, highlighting the importance of integrating data from multiple sensors for effective monitoring. While progress has been made, more effort is needed to establish a near-real-time remote sensing-based monitoring program.
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.

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