Intercomparisons between empirical models with data fusion techniques for monitoring water quality in a large lake

2013 10th IEEE International Conference on Networking, Sensing and Control, ICNSC 2013

Volumn , Issue , 2013, Pages 258-263

  Chang, Ni Bin ^a   Vannah, Benjamin ^a  

^a University of Central Florida   (United States)

Author keywords

Data fusion; harmful algal bloom; machine learning; microcystin; remote sensing; surface reflectance

Indexed keywords

HARMFUL ALGAL BLOOMS; HIGH TEMPORAL RESOLUTION; MACHINE LEARNING TECHNIQUES; MACHINE-LEARNING; MICROCYSTINS; MONITORING WATER QUALITY; SPATIOTEMPORAL DISTRIBUTIONS; SURFACE REFLECTANCE;

ALGAE; DATA FUSION; EUTROPHICATION; FISHERIES; GENETIC PROGRAMMING; LAKES; LEARNING SYSTEMS; REFLECTION; REMOTE SENSING; WATER QUALITY;

TOXIC MATERIALS;

EID: 84881279437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNSC.2013.6548747     Document Type: Conference Paper

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