Retrospective Analysis: Measuring the Historical
Magnitude of Turbidity Plumes Using Archived Remote Sensing Imagery
C. Kerfoot, J. Budd, and R. Stumpf
We propose a ten-year retrospective study (1987-1996) of the southern Lake Michigan spring
coastal plume using remotely sensed data. Advanced Very High Resolution Radiometer
(AVHRR) visible and thermal infrared data will form the basis of the retrospective study,
whereas higher resolution imagery (e.g., Landsat MSS and Landsat TM images, CZCS images,
and available aircraft data) will monitor specific events of short duration. The
objectives are:
to assess the relationship of winter ice formation, coastal plume
development, and thermal bar movement to cross-margin transport phenomena in southern Lake
Michigan;
to determine the timing, duration and extent of river plumes on a seasonal
and interannual basis;
to use higher resolution satellite data (e.g., Landsat and
Landsat TM imagery) to separate total solids, chlorophyll (as chlorophyll and
phaeophytin), and DOC signals (where possible); and
to utilize historical surface water
quality data (e.g., NOAA/GLERL Mass Balance monitoring data, EPA Storet data, NOAA
meteorological buoys) for empirical comparisons with the remotely sensed data.
Recently launched and proposed ocean color missions (i.e., ADEOS-OCTS and SeaWiFS), in conjunction
with shipboard sampling data (e.g., temperature, suspended solids, Chl, DOC, kPAR), will
provide additional information on surface water features and opportunities for cross
comparison with the AVHRR imagery. Resting stages of organisms previously buried several
centimeters deep in
pelagic and transitional sediments may be resuspended and redistributed by
plume formation. These wind-driven episodic events could alter seasonal
plankton biomass or even change community composition, as resuspended
zooplankton resting eggs establish certain copepod (Diaptomus minutus)
populations and set the stage for later cladoceran recruitment. Our
efforts cross-connect with the mesozooplankton trophic dynamics group.