Mapping Kentucky Lake Chlorophyll Concentrations Using Landsat Satellite Spectral Reflectance
Academic Level at Time of Presentation
Graduate
Major
Aquatic Biology
List all Project Mentors & Advisor(s)
Dr. Cetin
Presentation Format
Poster Presentation
Abstract/Description
The purpose of this study was to establish the correlation between Kentucky Lake chlorophyll concentrations with the Landsat satellite spectral reflectance measurements. Since 1988 Hancock Biological Station (HBS) has been conducting the Kentucky Lake Long Term Monitoring Program (KLMP) and part of their continued monitoring of the system includes measuring chlorophyll concentrations. The sampling events occur every 16 days, April-November, and every 32 days, December-March, in conjunction with the passing of the Landsat 8 Satellite. A date in time in which there was discernible variability in chlorophyll concentrations at different sites on the lake was selected. Using regression models and ArcGIS Pro software it was possible to visualize which spectral bands could be best used for measuring chlorophyll concentrations and how that could be represented.
Fall Scholars Week 2025
Earth and Environmental Sciences Poster Session
Mapping Kentucky Lake Chlorophyll Concentrations Using Landsat Satellite Spectral Reflectance
The purpose of this study was to establish the correlation between Kentucky Lake chlorophyll concentrations with the Landsat satellite spectral reflectance measurements. Since 1988 Hancock Biological Station (HBS) has been conducting the Kentucky Lake Long Term Monitoring Program (KLMP) and part of their continued monitoring of the system includes measuring chlorophyll concentrations. The sampling events occur every 16 days, April-November, and every 32 days, December-March, in conjunction with the passing of the Landsat 8 Satellite. A date in time in which there was discernible variability in chlorophyll concentrations at different sites on the lake was selected. Using regression models and ArcGIS Pro software it was possible to visualize which spectral bands could be best used for measuring chlorophyll concentrations and how that could be represented.