From space, satellites such as the NASA and USGS Landsat 8 can help scientists identify where an algal bloom has formed in lakes or rivers. It’s a complicated data analysis process, but one that researchers are automating so resource managers around the country can use the satellite data to identify potential problems.
Nima Pahlevan and his team at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, have developed an algorithm to take the data collected by Landsat 8 over water, analyze it, and create a product for distribution. There are multiple, computationally-intensive steps to get from the raw data to the usable product. This free-to-use data product makes it easier for more people to work with quality Landsat data.
The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey (USGS). Landsat satellites have been consistently gathering data about our planet since 1972. They continue to improve and expand this unparalleled record of Earth's changing landscapes for the benefit of all.
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Music: Light From Dark by Adam Salkedi, Neil Pollard [PRS], published by Atmosphere Music Ltd.; Experimental Design by Laurent Dury [SACEM], published by Koka Media; Against The Wall by Benjamin Peter McAvoy [PRS], published by Sound Pocket Music; Brainstorming by Laurent Dury[SACEM], published by Koka Media; Together As One by Le Fat Club [SACEM], Olivier Grim [SACEM]; published by Koka Media
Video credit: NASA's Goddard Space Flight Center
Matthew R. Radcliff (USRA): Lead Producer
Aaron E. Lepsch (ADNET): Technical Support
Adriana Manrique Gutierrez (USRA): Animator
Kate Ramsayer (Telophase): Writer
Nima Pahlevan (SSAI): Scientist
Kate Fickas (University of Utah): Scientist
Matthew R. Radcliff (USRA): Narrator
Matthew R. Radcliff (USRA): Editor
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