DocumentCode :
3316733
Title :
The Integrated Coral Observing Network: Sensor Solutions for Sensitive Sites
Author :
Hendee, James C. ; Gramer, Lew ; Kleypas, J.A. ; Manzello, Derek ; Jankulak, Mike ; Langdon, Chris
Author_Institution :
Atlantic Oceanogr. & Meteorol. Lab., Miami
fYear :
2007
fDate :
3-6 Dec. 2007
Firstpage :
669
Lastpage :
673
Abstract :
The National Oceanic and Atmospheric Administration´s (NOAA) Integrated Coral Observing Network (ICON), has been operational since 2000 and works closely with most US Government and many international environmental partners involved in coral reef research. The ICON program has pioneered the use of artificial intelligence techniques to assess near real-time data streams from environment sensor networks such as the SEAKEYS Network (Florida Keys), the Australia Institute of Marine Science Weather Network, NOAA´s Coral Reef Ecosystem Division network in the Pacific, and its own Integrated Coral Observing Network (ICON) of stations in the Caribbean. Besides its innovative approach to coral monitoring station deployments, the ICON program recently pioneered techniques for the near real-time integration of satellite, in situ and radar data sources for purposes of ecological forecasting of such events as coral bleaching, coral spawning, upwelling and other marine behavioral or physical oceanographic events. The ICON program has also ushered in the use of pulse-amplitude- modulating fluorometry to measure near real-time physiological recording of response to environmental stress during coral bleaching, thus providing even better ecological forecasting capabilities through artificial intelligence and data integrative techniques. Herewith, we describe these techniques, along with a report on new coral calcification instrumentation augmenting the ICON sensor array.
Keywords :
artificial intelligence; ecology; marine systems; oceanographic equipment; sensor arrays; Caribbean; Florida Keys; ICON program; Integrated Coral Observing Network; SEAKEYS Network; artificial intelligence; coral bleaching; coral spawning; ecological forecasting; pulse amplitude modulating fluorometry; sensitive sites; sensor solutions; upwelling; Artificial intelligence; Australia; Bleaching; Ecosystems; Intelligent sensors; Monitoring; Pulse measurements; Pulse modulation; Sensor arrays; US Government;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on
Conference_Location :
Melbourne, Qld.
Print_ISBN :
978-1-4244-1501-4
Electronic_ISBN :
978-1-4244-1502-1
Type :
conf
DOI :
10.1109/ISSNIP.2007.4496923
Filename :
4496923
Link To Document :
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