Warrington, D. S.. Michigan Technological University, dswarrin@mtu.edu
Wells Budd, J. S.. Michigan Technological University, jrbudd@mtu.edu
Stumpf, R. P.. U.S. Geological Survey Center for Coastal Geology, rstumpf@wayback.er.usgs.gov

 
REMOTE SENSING OF GREAT LAKES WATER QUALITY USING SEAWIFS (SEA-VIEWING WIDE FIELD-OF-VIEW SENSOR) IMAGERY. AUTHORS D.S. WARRINGTON, J.WELLS BUDD, R.P. STUMPF
 
Current ocean color algorithms are designed for use in open and coastal ocean systems. In this investigation, we have applied these algorithms to Great Lakes waters to determine their efficacy in fresh water. The objectives of this research include validation of SeaWiFS ocean color algorithms for the Great Lakes with in situ data and analysis of chlorophyll and seston abundances in Lake Superior and southern Lake Michigan. Shipboard sampling data are provided under the KITES (Keweenaw Interdisciplinary Transport Experiment in Superior for Lake Superior) and EEGLE (Episodic Events-Great Lakes Experiment for Lake Michigan) projects. Processing and validation of SeaWiFS imagery of the Great Lakes will reflect the changes in image processing code published by the SeaWiFS Project in August, 1998. We are comparing the standard chlorophyll aglorithms (e.g., OC-2, SeaBAM, etc.) in clear oligotrophic waters, (e.g., Lake Superior) and turbid waters (e.g., southern Lake Michigan). We anticipate that the current chlorophyll-a algorithm (OC-2) will overestimate chlorophyll in turbid waters.
 
Day: Tuesday, Feb. 2
Time: Poster
Location: Sweeney Center
 
Code: SS43TU0962S