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- Third Party Resource Title: Monitoring Algal Blooms with Landsat (OLI)
- Third Party Resource Link: https://serc.carleton.edu/matlab_computation2016/activities/159683.html
- Description: Algal blooms are caused by an aggregation of either microscopic phytoplankton or macro algae. They can produce toxic or harmful effects on humans and or the ecosystem. The purpose of this activity is to teach students how to use remote sensing data from the Landsat 8 (OLI) to monitor algal blooms. Students work through a case study from Lake Erie. At the end of this activity students will be able to, in MATLAB, 1) access USGS data repositories to view Landsat imagery, 2) access band specific .TIF files directly from Amazon Web Services, 3) pre-process the imagery and a apply single band bloom detection algorithm and 4) work with the atmospherically corrected Land Surface Reflectance product to improve remote sensing estimates. Students will also work with the MATLAB Mapping Toolbox to produce presentation quality maps.
- Publish Year: 2016
- Institution: University of Tasmania