Mapping Turbidity Levels and Sedimentation Flow into Lake Superior using a Landsat 8 Image

Authors: Siona Roberts*, University of Minnesota - Duluth
Topics: Remote Sensing, Geographic Information Science and Systems, Water Resources and Hydrology
Keywords: Landsat 8, Lake Superior, Turbidity, Sedimentation, Remote Sensing, Great Lakes.
Session Type: Poster
Day: 4/12/2018
Start / End Time: 8:00 AM / 9:40 AM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded

Many urban areas have increasing numbers of impervious surfaces covering their cities. Impervious surfaces stop the natural drainage of rain and melt water, increasing the amount of sedimentary run-off into our pristine waterbodies. A Landsat 8 image, taken 07/22/16, the day after a major storm in Duluth Minnesota, was used and studied. In my analysis, I created a visual representation of sedimentation run off and turbidity levels from Duluth, MN into Lake Superior using different index models and different enhancement techniques. Such as contrast stretching, high pass and low pass filters and edge enhancements. I found the Normalized Difference Turbidity Index (NDTI) worked the best when analyzing turbidity within the lake while the histogram equalization contrast stretch created the most aesthetic map while also showing sediment flow clearly. I found areas with the most turbidity to be Wisconsin Point flowing from the Nemadji River and Miller creek flowing into the Lake Superior Bay.

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