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dc.contributor.authorHu, Chuanmin ( Univ S Florida, Coll Marine Sci, Inst Marine Remote Sensing, St Petersburg, FL 33701 USA)
dc.contributor.authorMuller-Karger, Frank(Univ Massachusetts, Sch Marine Sci & Technol, Dartmouth, MA 02744 USA)
dc.contributor.authorMurch, Brock (Univ S Florida, Coll Marine Sci, Inst Marine Remote Sensing, St Petersburg, FL 33701 USA)
dc.contributor.authorMyhre, Douglas( Univ S Florida, Coll Marine Sci, Inst Marine Remote Sensing, St Petersburg, FL 33701 USA)
dc.contributor.authorTaylor, Judd ( Orbital Syst Ltd, Dallas, TX 75063 USA)
dc.contributor.authorLuerssen, Remy( James Madison Univ, Virginia Coastal Energy Res Consortium, Harrisonburg, VA 22807 USA)
dc.contributor.authorMoses, Christopher ( Jacobs Technol, St Petersburg, FL 33701 USA)
dc.contributor.authorZhang, Caiyun
dc.contributor.author张彩云
dc.contributor.authorGramer, Lew( Univ Miami, Cooperat Inst Marine & Atmospher Studies, Miami, FL 33149 USA)
dc.contributor.authorHendee, James( NOAA, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA)
dc.date.accessioned2011-05-13T05:30:55Z
dc.date.available2011-05-13T05:30:55Z
dc.date.issued2009-06
dc.identifier.citationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2009,47(6):1607-1620zh_CN
dc.identifier.issn0196-2892
dc.identifier.urihttp://dx.doi.org/doi:10.1109/TGRS.2008.2007425
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/8786
dc.description.abstractSatellite-derived sea surface temperature (SST) images have had limited applications in near-shore and coastal environments due to inadequate spatial resolution, incorrect geo-correction, or cloud contamination. We have developed a practical approach to remove these errors using Advanced Very High Resolution Radiometer (AVHRR) and MODerate-resolution Imaging Spectro radiometer (MODIS) 1-km resolution data. The objective was to improve the accuracy of SST anomaly estimates in the Florida Keys and to provide the best quality (in particular, high temporal and spatial resolutions) SST data products for this region. After manual navigation of over 47000 AVHRR images (1993-2005), we implemented a cloud-filtering technique that differs from previously published image processing methods. The filter used a 12-year climatology and 3-day running SST statistics to flag cloud-contaminated pixels. Comparison with concurrent (+/- 0.5 h) data from the SEAKEYS in situ stations in the Florida Keys showed near-zero bias errors (<0.05 degrees C) in the weekly anomaly for SST anomalies between -3 degrees C and 3 degrees C, with standard deviations <0.5 degrees C. The cloud filter was implemented using Interactive Data Language for near-real-time processing of AVHRR and MODIS data. The improved SST products were used to detect SST anomalies and to estimate degree-heating weeks (DHWs) to assess the potential for coral reef stress. The mean and anomaly products are updated weekly, with periodic updates of the DHW products, on a Web site. The SST data at specific geographical locations were also automatically ingested in near real time into National Oceanic and Atmospheric Administration's (NOAA) Integrated Coral Observing Network Web-based application to assist in management and decision making through a novel expert system tool (G2) implemented at NOAA.zh_CN
dc.description.sponsorshipNational Aeronautics and Atmospheric Administration (NASA Ocean Biology and Biogeochemistry Program and Interdisciplinary EOS Program) ; National Oceanic and Atmospheric Administration (NOAA) Coral Reef Conservation Program ; The Nature Conservancyzh_CN
dc.language.isoenzh_CN
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCzh_CN
dc.subjectAdvanced Very High Resolution Radiometer (AVHRR)zh_CN
dc.subjectcloud detectionzh_CN
dc.subjectcoastal ocean observing system (COOS)zh_CN
dc.subjectFlorida Keyszh_CN
dc.subjectMODerate-resolution Imaging Spectroradiometer (MODIS)zh_CN
dc.subjectremote sensingzh_CN
dc.subjectsea surface temperature (SST)zh_CN
dc.subjectwater qualityzh_CN
dc.titleBuilding an Automated Integrated Observing System to Detect Sea Surface Temperature Anomaly Events in the Florida Keyszh_CN
dc.typeArticlezh_CN


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