ORCA General Poster Session
Integration of GIS and Remote Sensing for Mapping Water Quality in Kentucky"
Academic Level at Time of Presentation
Sophomore
Major
Environmental Geology
List all Project Mentors & Advisor(s)
Dr. Haluk Cetin
Presentation Format
Poster Presentation
Abstract/Description
Harmful Algal blooms are a worldwide problem caused by cyanobacteria that can be a threat to human and animal health through the release of cytotoxins. The purpose of this project was to use Landsat Satellite Imagery to observe and map turbidity in Kentucky Lake and Lake Barkely. Using GIS and Remote Sensing techniques, mostly classifications, the water pixels will be separated from land. Using data gathered from stations across Kentucky Lake, basic linear models will be used to correlate the turbidity values versus the band values. The final turbidity map was based on the formula produced by the linear model with the highest correlation. The resulting map shows the varying degree turbidity for Kentucky Lake and Lake Barkely, with blue representing least turbid and red representing most turbid.
Spring Scholars Week 2018 Event
General Poster Session
Integration of GIS and Remote Sensing for Mapping Water Quality in Kentucky"
Harmful Algal blooms are a worldwide problem caused by cyanobacteria that can be a threat to human and animal health through the release of cytotoxins. The purpose of this project was to use Landsat Satellite Imagery to observe and map turbidity in Kentucky Lake and Lake Barkely. Using GIS and Remote Sensing techniques, mostly classifications, the water pixels will be separated from land. Using data gathered from stations across Kentucky Lake, basic linear models will be used to correlate the turbidity values versus the band values. The final turbidity map was based on the formula produced by the linear model with the highest correlation. The resulting map shows the varying degree turbidity for Kentucky Lake and Lake Barkely, with blue representing least turbid and red representing most turbid.