Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery
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Updated
Mar 25, 2024 - R
Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery
The influence of time scale on autocorrelation as an early warning indicator of regime shift
An interactive map of algal blooms
In this repository, you find code and explanations to quantify the net community production (NCP) during a cyanobacteria bloom in the Baltic Sea through vertically resolved pCO2 measurements.
Solution for EODHackathon (Space App Challenges 2021) for "Looking at the bigger picture" challenge. (Global Finalist Award Winning Team | Honor Mention award by NASA, ESA & JAXA)
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