Monitoring the total organic carbon concentrations in a lake with the integrated data fusion and Machine-learning (IDFM) technique

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8513, Issue , 2012, Pages

  Chang, Ni Bin ^a   Vannah, Benjamin ^a  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

Data fusion; Early warning system; Machine learning; Remote sensing; Surface reflectance; Total organic carbon

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; DATA FUSION ALGORITHM; DISINFECTION BY-PRODUCT; EARLY WARNING SYSTEM; FREE OF CHARGE; INFORMED DECISION; INTEGRATED DATA; LANDSAT; LANDSAT-5; MACHINE LEARNING TECHNIQUES; MACHINE-LEARNING; REAL-TIME MONITORING SYSTEMS; SEASONAL VARIATION; SOURCE WATERS; SPATIAL RESOLUTION; SPATIOTEMPORAL DISTRIBUTIONS; STATISTICAL INDICES; SURFACE REFLECTANCE; SYNTHETIC IMAGES; TEMPORAL RESOLUTION; TOC CONCENTRATIONS; TOTAL ORGANIC CARBON; TREATMENT PROCESS; TRIHALOMETHANES;

BYPRODUCTS; DATA FUSION; DISINFECTION; ECOSYSTEMS; IMAGE RESOLUTION; LAKES; LEARNING SYSTEMS; RADIOMETERS; REFLECTION; REMOTE SENSING; SPATIAL DISTRIBUTION; SUSTAINABLE DEVELOPMENT;

SATELLITE IMAGERY;

EID: 84872542688     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.927632     Document Type: Conference Paper

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