Object-Oriented Image Analysis for Mapping Land Use and Land Cover Change within the Mill Creek Watershed in Mahoning County, Ohio from 1950-2016

Authors: Peter Kimosop*, Youngstown State University
Topics: Water Resources and Hydrology, Physical Geography, Remote Sensing
Keywords: Watershed, segmentation, Remote Sensing, Land use
Session Type: Poster
Day: 4/13/2018
Start / End Time: 5:20 PM / 7:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded


The Mill Creek watershed, a tributary of the Mahoning River in northeast Ohio covers an area of approximately 78.4 square miles. The watershed has in the past faced numerous water quality challenges and habitat degradation. In 2015, for example, nearly 20% of Lake Newport which is located in the Mill Creek watershed was covered with a thick layer of algae (algal blooms). These environmental issues have been attributed to, among others, agricultural activities, urbanization, and point source pollution. This study analysed the changing land uses and land cover within the Mill Creek watershed through historical photos (1950 - 1980), DOQQs (1990s), and color infrared photographs (2000-2016). An object-based classification was used to evaluate the changing land uses and land cover in the Mill Creek watershed over time. The anticipated results are expected to provide additional knowledge on a watershed with changing water quality problems.

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