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Carnegie Mellon cyLab researchers work to develop new red tide monitoring

esearchers to improve our monitoring of red tide," said Richard P. Stumpf, an oceanographer with the NOAA National Ocean Service and a co-investigator for this project. "In fact, a huge, huge problem for us is trying to validate any algorithm for the harmful algae. Evaluating the imagery is very time-consuming."

Stumpf said he is collaborating with Carnegie Mellon researchers to devise a way to simply convert harmful algae data into an image field that can be easily accessed to map out the deadly algae's location and where it may travel. The new software is designed to incorporate multiple computer vision algorithms and the domain knowledge from NOAA scientists.

"Spatiotemporal data mining extracts changing spatial patterns from continuous data flow. It is a rapidly growing field, which includes inverse physics, machine learning and human-computer interaction," Cai said.


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Source:Carnegie Mellon University


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