Sigma Xi Poster Competition

Monitoring green algae in Green Bay, Lake Michigan using multi temporal satellite imagery

Presenter Information

Seongkyeong ChoFollow

Academic Level at Time of Presentation

Freshmen

Major

Undeclared

List all Project Mentors & Advisor(s)

Dr. Haluk Cetin

Presentation Format

Poster Presentation

Abstract/Description

Recently, the water quality has deteriorated due to the spread of green algae floating in reservoirs and lakes due to climate change and environmental factors. Green Bay is a place with well-developed green algae in Lake Michigan, and there is a large city nearby, requiring accurate monitoring for the safety of residents. For accurate and periodic remote monitoring, spectral reflectance measurements, such as the optical properties of chlorophyll contained in algae are used. The purpose of this projet is to understand both the spectral reflectance characteristics of green algae that occurred in Lake Michigan in the past and recently, and to examine the degree of change in green algae using Lansat imagery. Images of Lansat 8, the latest image, and Lansat 5, the past image, from USGS were downloaded, and used in the Modelmaker tool of the ERDAS Imagine image processing software. The past and present images of Lake Michigan were used to monitor green algae occurrences, and to examine the relationship between the increasing green algae and the temperature changes in the lake.

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Sigma Xi Poster Competition

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Monitoring green algae in Green Bay, Lake Michigan using multi temporal satellite imagery

Recently, the water quality has deteriorated due to the spread of green algae floating in reservoirs and lakes due to climate change and environmental factors. Green Bay is a place with well-developed green algae in Lake Michigan, and there is a large city nearby, requiring accurate monitoring for the safety of residents. For accurate and periodic remote monitoring, spectral reflectance measurements, such as the optical properties of chlorophyll contained in algae are used. The purpose of this projet is to understand both the spectral reflectance characteristics of green algae that occurred in Lake Michigan in the past and recently, and to examine the degree of change in green algae using Lansat imagery. Images of Lansat 8, the latest image, and Lansat 5, the past image, from USGS were downloaded, and used in the Modelmaker tool of the ERDAS Imagine image processing software. The past and present images of Lake Michigan were used to monitor green algae occurrences, and to examine the relationship between the increasing green algae and the temperature changes in the lake.