DocumentCode
483933
Title
Remotely Monitoring Great Lakes Coastal Wetlands with Multi-Sensor, Multi-Temporal SAR and Multi-Spectral Data
Author
Bourgeau-Chavez, Laura L. ; Riordan, Kevin ; Miller, Nicole ; Nowels, Mitch ; Powell, Richard
Author_Institution
Michigan Tech Res. Inst., Michigan Technol. Univ., Ann Arbor, MI
Volume
1
fYear
2008
fDate
7-11 July 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 cost-efficient 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.
Keywords
hydrological techniques; lakes; remote sensing by radar; sensor fusion; synthetic aperture radar; Great Lakes coastal wetlands; JERS; Landsat; Radarsat-I; adjacent land use; data fusion; inundation extent; multisensor; multispectral data; multitemporal SAR; remote sensing; satellite imagery; wetland extent; wetland monitoring; wetland type mapping; Biosensors; Ecosystems; Floods; Lakes; Remote monitoring; Remote sensing; Satellites; Sea measurements; Sensor phenomena and characterization; Space technology; Landsat; SAR; sensor fusion; wetlands;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4778886
Filename
4778886
Link To Document