Abstract:
The CREWS program, as a part of NOAA's Coral Reef Watch and Coral Health And Monitoring Programs (CHAMP), is designed to collect real time environmental data from prime coral reef sites throughout the world, analyze patterns and trends via expert systems (an artificial intelligence technology) and predict the effects of environmental events on coral reefs such as bleaching, fish and invertebrate ... spawning and migration. CIMAS researchers working in association with the CREWS project at the Atlantic Oceanographic Meteorological Laboratory (AOML) provide expertise to the CREWS knowledge engineer in the configuring of expert systems which have been designed to analyze the influence of tens of thousands of permutations of meteorological and oceanographic parameters on the reef environments. The data are collected at remote stations located in coral reef areas such as St. Croix, U.S. Virgin Islands and Lee Stocking Island, Bahamas. These on-site stations record environmental data encompassing but not limited to atmospheric and sea temperatures, wind speeds and direction, ultraviolet radiation at the surface and 1 meter depth, tides, salinity, and barometric pressure. These data are relayed in near real-time hourly intervals via a GOES satellite transmission and received in encoded format by NOAA's National Environmental Satellite, Data, and Information Service (NESDIS). NESDIS makes the recent data available through the Internet. An automated range checking at AOML validates the received data and formats it for insertion into the long-term database. The CREWS Integrated Monitoring Network Application provides the architecture to receive data from multiple sources concurrently, at the same time servicing query requests from Internet users and automated computer programs that use the data to produce information synthesis products (?alerts?) based on the knowledge gleaned from domain experts.
The end users (e.g., researchers, marine sanctuary managers, and the public) receive high quality, reliable data on demand, advancing the understanding of coral reefs and their environments.
Name:
LOUIS
FLORIT
Email:
louis.florit at noaa.gov
Contact Address:
Coral Health and Monitoring Program
AOML/NOAA
4301 Rickenbacker Causeway City:
Miami
Province or State:
Florida
Postal Code:
33149-1026
Country:
USA
Distribution Media
Distribution_Media:
Email
Personnel
TYLER
B.
STEVENS Role:
SERF AUTHOR
Phone:
(301) 614-6898
Fax:
301-614-5268
Email:
Tyler.B.Stevens at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
Global Change Master Directory City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
JAMES
C.
HENDEE Role:
TECHNICAL CONTACT
Phone:
(305) 361-4380
Fax:
(305) 361-4582
Email:
jim.hendee at noaa.gov
Contact Address:
Coral Health and Monitoring Program
NOAA/Atlantic Oceanographic & Meteorological Laboratory
4301 Rickenbacker Causeway City:
Miami
Province or State:
FL
Postal Code:
33149-1026
Country:
USA
Publications/References
Armstrong, R. L., and M. J. Brodzik. 1995. An Earth-Gridded SSM/I Data Set for Cryospheric Studies and Global Change Monitoring. Advances in Space Research 16: 155-63.
Brodzik, M. J. and R. L. Armstrong. 2008. updated daily. Near-Real-Time DMSP SSM/I-SSMIS Pathfinder Daily EASE-Grid Brightness Temperatures, 1988-2007. Boulder, Colorado USA: National Snow and Ice Data Center.
Ferraro, R. R., ... F. Weng, N. C. Grody, and A. Basist. 1996. An eight-year (1987-1994) time series of rainfall, clouds, water vapor, snow cover, and sea ice derived from SSM/I measurements. Bulletin of the American Meteorological Society, 77(5), 891-905.
Friedl, M. A., D. K. McIver, J. C. F. Hodges, X. Y. Zhang, D. Muchoney, A. H. Strahler, C. E. Woodcock, S. Gopal, A. Schneider, A. Cooper, A. Baccini, F. Gao, and C. Schaaf. 2002. Global land cover mapping from MODIS: algorithms and early results. Remote Sensing of Environment, 83, 287-302
GLOBE Task Team and others (Hasting, D. A., P. K. Dunbar, G. M. Elphingstone et al.). 1999. The global land one-kilometer base elevation (GLOBE) digital elevation model, version 1.0. National Oceanic and Atmospheric Administration, National Geophysical Data Center, 325 Broadway, Boulder, Colorado 80305-3328, U.S.A. Digital data base at http://www.ngdc.noaa.gov/mgg/toto/globe.html and CD-ROMs.
Kim, Y., J. S. Kimball, K. C. McDonald, and J. Glassy. 2011. Developing a Global Data Record of Daily Landscape Freeze/Thaw Status using Satellite Microwave Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing.
McDonald, K.C, and J.S. Kimball, 2005. Hydrological application of remote sensing: Freeze Thaw states using both active and passive microwave sensors. Encyclopedia of Hydrological Sciences. Part 5. Remote Sensing. M.G. Anderson and J.J. McDonnell (Eds.), John Wiley & Sons Ltd. DOI: 10.1002/0470848944.hsa059a.
Creation and Review Dates
SERF Creation Date:
2004-11-29
SERF Last Revision Date:
2011-07-20
Links
