Establishing Methodology for Hindcasting Sea Surface Salinity using Landsat Imagery

Authors: Donna Selch*, SUNY Stony Brook University
Topics: Coastal and Marine, Remote Sensing, Temporal GIS
Keywords: salinity, remote sensing,
Session Type: Guided Poster
Day: 4/4/2019
Start / End Time: 3:05 PM / 4:45 PM
Room: Roosevelt 3.5, Marriott, Exhibition Level
Presentation File: No File Uploaded

This research establishes an algorithm for calculating sea surface salinity levels using Landsat imagery by using different correction procedures to reduce the influences of factors such as the atmosphere, sun glint, and benthic information. Once verified, this algorithm can be applied to Landsat imagery without in situ data to create a time series of salinity maps. The study site of Florida Bay was chosen due to the strong influence of saltwater from the Gulf of Mexico, the natural freshwater (from the Everglades), and the anthropogenic freshwater (from canals). The results of this research will assist evaluation of the effects of Everglades restoration activities.

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