Title

Mapping cladophora in the Great Lakes using mulit-scale imagery

Authors

Michael Sayers, Michigan Technological UniversityFollow
Colin Brooks, Michigan Technological UniversityFollow
Robert Shuchman, Michigan Technological UniversityFollow

Document Type

Conference Paper/Presentation

Publication Date

2011

Abstract

We have developed a new remote sensing algorithm to map Cladophora extent and biomass in the near-shore waters (0-15 meters depth) in the Great lakes. The algorithm utilizes the blue, green and red visible bands of electro-optical satellites such as MODIS, MERIS, Landsat TM and higher spatial resolution (~2m) commercial multispectral data from GeoEye and DigitalGlobe. The algorithm maps Cladophora using a depth invariant bottom reflectance index and has been successfully tested on satellite data sets of varying resolutions of the Sleeping Bear Dunes National Lakeshore (SBDNL) in Lake Michigan where there is extensive "lake" truth on Cladophora extent and biomass. The utility of mapping Cladophora using 1km MODIS or 330 meter MERIS data with its daily acquisitions is compared to the results from the 30 meter Landsat and the commercial 2 meter high resolution data. A time series analysis, both annually and seasonally, of Cladophora extent at SBDNL was also done using historical Landsat data.

Publisher's Statement

© 2011 The authors.

Publication Title

IAGLR 54th Annual Conference on Great Lakes Research

Recommended Citation

Sayers, M., Brooks, C., & Shuchman, R. (2011). Mapping cladophora in the Great Lakes using mulit-scale imagery. IAGLR 54th Annual Conference on Great Lakes Research.
Retrieved from: https://digitalcommons.mtu.edu/mtri_p/121