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Article

Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery

1
Michigan Tech Research Institute, Michigan Technological University, Ann Arbor, MI 48105, USA
2
Michigan State University Extension, Michigan Natural Features Inventory, Lansing, MI 48901, USA
3
McMaster University, Hamilton, ON L8S 4K1, Canada
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Alisa L. Gallant and Prasad S. Thenkabail
Remote Sens. 2015, 7(7), 8655-8682; https://doi.org/10.3390/rs70708655
Received: 9 February 2015 / Revised: 25 June 2015 / Accepted: 30 June 2015 / Published: 9 July 2015
(This article belongs to the Special Issue Towards Remote Long-Term Monitoring of Wetland Landscapes)
Methods using extensive field data and three-season Landsat TM and PALSAR imagery were developed to map wetland type and identify potential wetland stressors (i.e., adjacent land use) for the United States and Canadian Laurentian coastal Great Lakes. The mapped area included the coastline to 10 km inland to capture the region hydrologically connected to the Great Lakes. Maps were developed in cooperation with the overarching Great Lakes Consortium plan to provide a comprehensive regional baseline map suitable for coastal wetland assessment and management by agencies at the local, tribal, state, and federal levels. The goal was to provide not only land use and land cover (LULC) baseline data at moderate spatial resolution (20–30 m), but a repeatable methodology to monitor change into the future. The prime focus was on mapping wetland ecosystem types, such as emergent wetland and forested wetland, as well as to delineate wetland monocultures (Typha, Phragmites, Schoenoplectus) and differentiate peatlands (fens and bogs) from other wetland types. The overall accuracy for the coastal Great Lakes map of all five lake basins was 94%, with a range of 86% to 96% by individual lake basin (Huron, Ontario, Michigan, Erie and Superior). View Full-Text
Keywords: wetlands; synthetic aperture radar; PALSAR; Landsat; thermal; optical imagery; Typha; Phragmites; Schoenoplectus wetlands; synthetic aperture radar; PALSAR; Landsat; thermal; optical imagery; Typha; Phragmites; Schoenoplectus
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MDPI and ACS Style

Bourgeau-Chavez, L.; Endres, S.; Battaglia, M.; Miller, M.E.; Banda, E.; Laubach, Z.; Higman, P.; Chow-Fraser, P.; Marcaccio, J. Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery. Remote Sens. 2015, 7, 8655-8682. https://doi.org/10.3390/rs70708655

AMA Style

Bourgeau-Chavez L, Endres S, Battaglia M, Miller ME, Banda E, Laubach Z, Higman P, Chow-Fraser P, Marcaccio J. Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery. Remote Sensing. 2015; 7(7):8655-8682. https://doi.org/10.3390/rs70708655

Chicago/Turabian Style

Bourgeau-Chavez, Laura, Sarah Endres, Michael Battaglia, Mary E. Miller, Elizabeth Banda, Zachary Laubach, Phyllis Higman, Pat Chow-Fraser, and James Marcaccio. 2015. "Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery" Remote Sensing 7, no. 7: 8655-8682. https://doi.org/10.3390/rs70708655

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