Use of GIS and remotely sensed data for a priori identification of reference areas for Great Lakes coastal ecosystems

@inproceedings{Host2005UseOG,
  title={Use of GIS and remotely sensed data for a priori identification of reference areas for Great Lakes coastal ecosystems},
  author={G. E. Host and Jacob C. N. Schuldt and Jan J. H. Ciborowski and Lucinda B. Johnson and Tom P. Hollenhorst},
  year={2005}
}
Identification of reference conditions for ecological assessments of coastal ecosystems poses a challenging problem in highly modified landscapes. A method is described for characterizing disturbance in coastal ecosystems using remotely sensed land classification and other publicly available GIS data. Within ecoregions bordering the US Great Lakes coast, aquatic habitats bordering the shoreline were classified into five ecological types: high-energy shoreline, embayments, open-coast, river… CONTINUE READING

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