Title

Remotely monitoring Great Lakes coastal wetlands with mutli-temporal SAR, and mutli-spectral data

Authors

Laura L. Bourgeau-Chavez, Michigan Technological UniversityFollow
Kevin Riordan, Independent Researcher
Nicole Miller, Radiance Technologies
Mitch Nowels, General Dynamics Advanced Information Systems
Richard B. Powell, Michigan Technological UniversityFollow

Document Type

Conference Paper/Presentation

Publication Date

2008

Abstract

Wetland monitoring in the Great Lakes coastal areas is needed for assessment of overall health of the Great Lakes basin. Methods were developed that were robust yet costefficient and implementable. The methods rely on satellite imagery for mapping wetland type, adjacent land use, wetland extent and inundation extent. The best method for mapping wetland type and adjacent land use was a fusion of data from multiple SAR sensors (JERS, ERS, Radarsat-I) and Landsat. This data fusion allows for the unique SAR and optical/IR information to be integrated for improved mapping capabilities.

Publisher's Statement

© 2008 IEEE. Publisher's version of record: http://dx.doi.org/10.1109/IGARSS.2008.4778886

Publication Title

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium

Recommended Citation

Bourgeau-Chavez, L. L., Riordan, K., Miller, N., Nowels, M., & Powell, R. B. (2008). Remotely monitoring Great Lakes coastal wetlands with mutli-temporal SAR, and mutli-spectral data. IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 1, 428-429. http://doi.org/10.1109/IGARSS.2008.4778886
Retrieved from: https://digitalcommons.mtu.edu/mtri_p/207