Change Detection in a Post-Industrial Environment

Authors: Jacob Taylor*, Ohio University
Topics: Remote Sensing, Land Use and Land Cover Change
Keywords: Urban Decline, Land Use and Land Cover Change, Change Detection
Session Type: Poster
Day: 4/6/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: Download


As global populations increase, populations in urban areas are increasing and are expected to rise moving forward. However, this has not been the case for cities concentrated in the American Rust Belt. The much maligned city of Youngstown has seen a dramatic decrease in population since its heyday in the mid 20th century. From 1950 to 2010 Youngstown’s population dropped by 60%. This decrease in population has resulted in urban decay and subsequent changes to the city’s planning strategy. Youngstown’s plan to deliberately shrink may have altered land cover in the area. These land cover changes can be detected from variety of different techniques with the use of remotely sensed imagery. The objective of this study is to compare methods of change detection in a post industrial environment. Post classification techniques will be used to assess the extent of change Youngstown has experienced over the last three decades. The results of the analysis will describe the impacts that deindustrialization and population decline has had on the city of Youngstown and surrounding area. Also, the analysis seeks to address the broader ecological implications of decline and has Youngstown’s planning strategy made a detectable difference in urban greening?

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