QQ客服 官方微博 反馈留言

	Building an Automated Integrated Observing System to Detect Sea Surface Temperature Anomaly Events in the Florida Keys
	Hu, Chuanmin（ Univ S Florida, Coll Marine Sci, Inst Marine Remote Sensing, St Petersburg, FL 33701 USA） ; Muller-Karger, Frank（ Univ Massachusetts Dartmouth, Sch Marine Sci & Technol, Dartmouth, MA 02744 USA） ; Murch, Brock（ Univ S Florida, Coll Marine Sci, Inst Marine Remote Sensing, St Petersburg, FL 33701 USA） ; Myhre, Douglas（ Univ S Florida, Coll Marine Sci, Inst Marine Remote Sensing, St Petersburg, FL 33701 USA） ; Taylor, Judd（ Orbital Syst Ltd, Dallas, TX 75063 USA） ; Luerssen, Remy（ James Madison Univ, Virginia Coastal Energy Res Consortium, Harrisonburg, VA 22807 USA） ; Moses, Christopher（ Jacobs Technol, St Petersburg, FL 33701 USA） ; Zhang, Caiyun ; Zhang CY(张彩云) ; Gramer, Lew（Univ Miami, Cooperat Inst Marine & Atmospher Studies, Miami, FL 33149 USA） ; Hendee, James（NOAA, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA）
	2009-06
关键词	Advanced Very High Resolution Radiometer (AVHRR) cloud detection coastal ocean observing system (COOS) Florida Keys MODerate-resolution Imaging Spectroradiometer (MODIS) remote sensing sea surface temperature (SST) water quality
英文摘要	Satellite-derived sea surface temperature (SST) images have had limited applications in near-shore and coastal environments due to inadequate spatial resolution, incorrect geocorrection, 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) I-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 47 000 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.; National Aeronautics and Atmospheric Administration ; National Oceanic and Atmospheric Administration (NOAA) ; The Nature Conservancy
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
内容类型	期刊论文
源URL	[http://dx.doi.org/doi:10.1109/TGRS.2008.2007425]
专题	海洋环境－已发表论文
推荐引用方式 GB/T 7714	Hu, Chuanmin,Muller-Karger, Frank,Murch, Brock,et al. Building an Automated Integrated Observing System to Detect Sea Surface Temperature Anomaly Events in the Florida Keys[J],2009.
APA	Hu, Chuanmin.,Muller-Karger, Frank.,Murch, Brock.,Myhre, Douglas.,Taylor, Judd.,...&Hendee, James.(2009).Building an Automated Integrated Observing System to Detect Sea Surface Temperature Anomaly Events in the Florida Keys..
MLA	Hu, Chuanmin,et al."Building an Automated Integrated Observing System to Detect Sea Surface Temperature Anomaly Events in the Florida Keys".(2009).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。