Poster Number

083

Submitting Student(s)

Paige DenneyFollow

Session Title

Food, Environment, and Climate Change

College

College of Arts and Sciences

Department

Interdisciplinary Studies

Faculty Mentor

Bryan McFadden, M.S.

Abstract

Algal blooms occur when there is an overabundance of algae in a freshwater or saltwater body. Algal blooms often have negative effects on human health, the environment, and the economy. They increase during summer months due to heightened water temperatures. With the climate warming gradually, the occurrence of algal blooms will likely increase. Mapping algal blooms using geospatial data and analysis methods is incredibly important to understanding where algal blooms happen and how they have increased over time. In my research project, I use geospatial data to map an algal bloom in Lake St. Clair, Michigan. My data originate from the satellite Landsat 8 and were collected on July 14, 2019. I use the Blue Normalized Difference Vegetation Index (BNDVI) and the Surface Algal Bloom Index (SABI) for my analysis of the data. I combine each of these, as well as the original data, with a supervised classification. The purpose is to determine whether similar results can be derived from each of these methods.

Course Assignment

ENVS 495 – McFadden

Start Date

24-4-2020 12:00 AM

COinS
 
Apr 24th, 12:00 AM

Methods for Mapping Algal Blooms: Do They Produce Similar Results?

Algal blooms occur when there is an overabundance of algae in a freshwater or saltwater body. Algal blooms often have negative effects on human health, the environment, and the economy. They increase during summer months due to heightened water temperatures. With the climate warming gradually, the occurrence of algal blooms will likely increase. Mapping algal blooms using geospatial data and analysis methods is incredibly important to understanding where algal blooms happen and how they have increased over time. In my research project, I use geospatial data to map an algal bloom in Lake St. Clair, Michigan. My data originate from the satellite Landsat 8 and were collected on July 14, 2019. I use the Blue Normalized Difference Vegetation Index (BNDVI) and the Surface Algal Bloom Index (SABI) for my analysis of the data. I combine each of these, as well as the original data, with a supervised classification. The purpose is to determine whether similar results can be derived from each of these methods.

 

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