ORCA | General Poster Session
Mapping Of Impervious Surface Distribution Over Time In Southern Illinois Using Satellite Imagery
Academic Level at Time of Presentation
Graduate
Major
Geoscience
Minor
N/A
List all Project Mentors & Advisor(s)
Haluk Cetin, PhD.
Presentation Format
Poster Presentation
Abstract/Description
Mapping Of Impervious Surface Distribution Over Time In Southern Illinois Using Satellite Imagery
Matthew Wittman
Mentor: Dr. Haluk Cetin
Department of Geosciences, Murray State University
Keywords: Impervious surfaces, supervised land classification, land-cover change, maximum likelihood, Landsat TM
Impervious surfaces are defined as surfaces that prevent water from infiltrating underlying soils. These surfaces exert an array of effects on the surrounding area, such as retarding the speed of geochemical cycles occurring in the soil, increasing overland water flow and the temperature of the immediate area. This study examines the change in impervious surface area over time in a portion of southern Illinois. Landsat 4-5 Thematic Mapper scenes (Row 33, Path 23) were obtained for the years 1986 and 2007, in the month of July. These scenes were analyzed using a supervised land-cover classification technique. First, both images were cropped to only include areas not covered by clouds in either image. Next, pixels were assigned to one of four classes (water, vegetation, barren land/soils, and impervious surfaces) using a maximum likelihood approach. Lastly, these classified maps were analyzed using a post-classification comparison technique to map changes in impervious surface distribution between the two time periods. Patterns and trends observed were used to make predictions about the effects impervious surfaces have had on the surrounding environment.
Affiliations
Sigma Xi Poster Competition--ONLY
Mapping Of Impervious Surface Distribution Over Time In Southern Illinois Using Satellite Imagery
Mapping Of Impervious Surface Distribution Over Time In Southern Illinois Using Satellite Imagery
Matthew Wittman
Mentor: Dr. Haluk Cetin
Department of Geosciences, Murray State University
Keywords: Impervious surfaces, supervised land classification, land-cover change, maximum likelihood, Landsat TM
Impervious surfaces are defined as surfaces that prevent water from infiltrating underlying soils. These surfaces exert an array of effects on the surrounding area, such as retarding the speed of geochemical cycles occurring in the soil, increasing overland water flow and the temperature of the immediate area. This study examines the change in impervious surface area over time in a portion of southern Illinois. Landsat 4-5 Thematic Mapper scenes (Row 33, Path 23) were obtained for the years 1986 and 2007, in the month of July. These scenes were analyzed using a supervised land-cover classification technique. First, both images were cropped to only include areas not covered by clouds in either image. Next, pixels were assigned to one of four classes (water, vegetation, barren land/soils, and impervious surfaces) using a maximum likelihood approach. Lastly, these classified maps were analyzed using a post-classification comparison technique to map changes in impervious surface distribution between the two time periods. Patterns and trends observed were used to make predictions about the effects impervious surfaces have had on the surrounding environment.