Title
A satellite algorithm tool box for the Great Lakes
Document Type
Conference Paper/Presentation
Publication Date
2014
Abstract
A set of operational optical satellite algorithms for the Great Lakes have been developed and successfully tested. These algorithms which utilize CZCS, SeaWiFS, MODIS, MERIS, or VIIRS satellite data generate the following derived products: chlorophyll (chl), dissolved organic carbon (doc), and suspended mineral (sm) concentrations; harmful algal blooms (habs) locations; lake bottom type and bathymetry; sediment plume extent, constituents, and concentration (load); primary productivity (pp); and optical water properties (clarity, Kd, Photosynthetically Active Radiation (PAR) and photic depth). The derived satellite products have been compared to near coincident in situ measurements with good agreement. Time series chl, habs, pp, and optical water properties maps of the five Great Lakes have been generated. In the case of chl, pp, and kd the time series covers the time period of 1979- 1987, and 1998 to the present. These time machine looks can be used to better understand the effects climate change, anthropogenic forcing and invasive species have on the Great Lakes.
Publication Title
IAGLR 57th Annual Conference on Great Lakes Research
Recommended Citation
Shuchman, R. A.,
Sayers, M. J.,
Leshkevich, G.,
&
Fahnenstiel, G. L.
(2014).
A satellite algorithm tool box for the Great Lakes.
IAGLR 57th Annual Conference on Great Lakes Research.
Retrieved from: https://digitalcommons.mtu.edu/mtri_p/92
Publisher's Statement
© 2014 The authors.