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 :
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