The utilization of remote sensing and geographic information system (GIS) for the development of a wetlands classification and inventory for the lower Maumee River watershed, Lucas County, Ohio.

摘要

The Ohio Environmental Protection Agency (EPA) and the Maumee Remedial Action Plan (RAP) groups identified the need for a revised wetland classification and inventory as a priority. A comprehensive geographic spatially explicit wetlands data model could add significant advances for addressing wetland projects in Lucas County. The objective of this study was to create a systematic methodology to identify wetlands using remote sensing and GIS (Geographic Information System) techniques. The resulting wetlands inventory and classification advanced the wetlands project mapping needs. The model identified four primary wetlands of interest; prairie, coastal, forest, and riparian. The overall accuracy of the classification was 94.5%.