GIS and Remote Sensing Applications for Watershed Planning in the Maumee River Basin, Ohio

Chapter
Part of the Geotechnologies and the Environment book series (GEOTECH, volume 7)

Abstract

The Maumee River watershed is the largest drainage basin that discharges into the Great Lakes. Although the watershed is largely a rural landscape, several major urban-industrial cities, including Fort Wayne and Toledo are located along the river. Many water quality concerns are present, especially non-point rural runoff that contributes significant amounts of sediment into the Maumee River. There is an important need to collect, organize and assess the available information on the watershed conditions and to better determine the status of the changes with land uses, crop rotation, and implementation of conservation tillage practices within this watershed. A partnership between the University of Toledo and US Department of Agriculture NRCS lead to several GIS and remote sensing products including annual land cover and crop rotations via remote sensing techniques, establishment of a Maumee Watershed Project Area GIS database, and providing educational and informational outreach with other project partners, resource managers, and the general public.

Keywords

GIS Remote sensing Watershed planning 

Notes

Acknowledgements

Work undertaken under this project has been funded by a Memorandum of Understanding between the University of Toledo Department of Geography and Planning GISAG Research Center and the USDA National Resource Conservation Service (NRCS) for 2005–2010. Appreciation is extended to Steve Davis, Cheryl Rice and NRCS staff for their assistance. Dr. Kevin Czajkowski and Dr. Patrick L. Lawrence with the Department of Geography and Planning served as the project principal investigators. James Coss and Tim Ault provided technical assistance as research associates. Graduate students from the MA Geography program at the University of Toledo: David Dean, Katie Swartz, Phil Haney, and Rumiko Hayase completed the GIS and remote sensing components.

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Copyright information

© Springer Science+Business Media Dordrecht. 2013

Authors and Affiliations

  1. 1.Department of Geography and PlanningUniversity of ToledoToledoUSA

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