Retrospective Analysis: Measuring the Historical Magnitude of Turbidity Plumes Using Archived Remotely Sensed Imagery

J.W. Budd1, W. C. Kerfoot2, R.P. Stumpf3, Katherine Strojny2
1MTU/Geological Engineering & Sciences, 2MTU/Biological Sciences, 3NOAA/NOS

Goal: The overall goal is to analyze and interpret all available operational remotely sensed imagery of southern Lake Michigan using state-of-the art image processing techniques.


  1. analyze and archive historical Advanced Very High Resolution Radiometer (AVHRR) lake surface temperature (LST) and remote sensing reflectance (Rrs) imagery.
  2. provide the first-ever chlorophyll (CSAT) and Rrs (related to turbidity) estimates from the Sea-viewing Wide-Field-of-View Sensor (SeaWiFS) imagery using a revised atmospheric correction procedure de-veloped by Stumpf et al.
  3. create year-long, uninterrupted time-series SeaWiFS imagery using a statistically-based time-space in-terpolation procedure.
  4. create multi-sensor visualizations of physical (AVHRR LST) and particle (SeaWiFS CSAT, Rrs) data.
  5. validate the satellite-derived water parameters with in situ data from intensive field surveys at sampling locations.
  6. support modeling groups' efforts (Schwab et al., Chen et al.) by providing synoptic satellite water pa-rameters for model experiments.


Selected Results:

Fig. 1. Total mass of sediment/day in southern L. Michigan during spring 1998 based on SeaWiFS interpolated TSS estimates and 1 km 2 bathymetry contours. Gaps in data represent periods when clouds precluded interpolation.