地球科学进展 ›› 2000, Vol. 15 ›› Issue (2): 190 -196. doi: 10.11867/j.issn.1001-8166.2000.02.0190

综述与评述 上一篇    下一篇

海洋水色卫星遥感研究与进展
李四海 ①②,王 宏 ,许卫东   
  1. ①华东师范大学河口海岸国家重点实验室,上海 200062;②国家海洋信息中心,天津 300071
  • 收稿日期:1999-03-08 修回日期:1999-07-06 出版日期:2000-04-01
  • 通讯作者: 李四海,男,1970年2月出生于河北省河间市,博士生,现主要从事海洋水色遥感研究及应用工作。
  • 基金资助:

    国家“九五”科技攻关项目“海岸带综合管理地理信息试探系统”(编号:96-922-04-04)资助。

RESEARCH AND PROGRESS IN SATELLITE OCEAN COLOR REMOTE SENSING

LI Sihai ①②,WANG Hong ,XU Weidong   

  1. ①The State Key Laboratory of Estuary&Coast,East China Normal University,Shanghai 200062,China;②National Marine Data and Information Service,Tianjin 300071
  • Received:1999-03-08 Revised:1999-07-06 Online:2000-04-01 Published:2000-04-01

系统介绍了目前海洋水色卫星遥感在海洋碳通量、生物海洋学及上层海洋过程研究,以及海岸带环境监测与管理中的主要应用方向;分析了上述应用对水色卫星传感器在时空分辨率、光谱波段设置和空间覆盖范围等方面的具体设计要求;概括了新一代水色卫星传感器的特点;指出了水色卫星遥感资料应用中的定标、大气校正及定量反演技术等关键问题;介绍了各国海洋水色卫星遥感的发展计划,提出了我国海洋水色卫星遥感研究的对策。

This paper introduces systematically the main uses for satellite ocean colour data in three broad thematic areas: (1)quantifying ocean carbon flux, understanding how it is controlled and why it varies from year to year; (2) Providing a synoptic, observational link between the development of the ocean ecosystem and the physics of the mixed layer; (3) assisting with the scientific analysis, environment monitoring and management of the coastal zone, including fisheries management. It also analyzes the technical requirements for satellite ocean colour sensors by applications mentioned above, and shows how requirements for observing coastal water can be very different from these for open oceans coverage,including spatial and temporal requirement, spectral requirement, and spatial coverageetc. The authors summarize the features of the new generation satellite sensors, point out the key problems in the utility of satellite ocean colour data, such as calibration,atmosphere correction, and ocean colour quantity retrieval,and finally introduce the plans of satellite ocean colour remote sensing abroad, and put forth our countermeasures.

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〔1〕Behrenfeld M J, Falkowski P G. A consumer' s guide to phytoplankton primary productivity models〔J〕. Limnology Oceanography,1997,42(7): 1 479~1 491.
〔2〕Feldman G C,Clark D, Halpern D. Satellite color observations of the phytoplankton distribution in the eastern equatorial Pacific during the 1982~83 El Nin~o〔J〕. Science, 1984, 226:1 069~1 071.
〔3〕Fiedler P C. Satellite observations of the 1982~1983 El Nin~o along the US Pacific coast〔J〕. Science, 1984,224:1 251~1 054.
〔4〕Field C B, Behrenfeld M J, Randerson J T,et al. Primary production of the biosphere: integrating terrestrial and oceanic components〔J〕. Science, 1998,281:237~240.
〔5〕Gregg W W, Patt F S. Assessment of tilt capability for spaceborne global ocean color sensors〔J〕. IEEE Trans Geosci Remote Sens, 1994, 32(2): 866~877.
〔6〕Gregg W W, Woodward R H. Improvements in high frequency of ocean color: Combining data from SeaWiFS and MODIS〔J〕. IEEE Trans Geosci Remote Sens, 1998, 36(4): 1 350~1 353.
〔7〕Hofmann E E, Lascara C M. Overview of interdisciplinary modeling for marine ecosystems〔A〕. In: Brink K H,Robinson A R, eds. The Sea〔C〕.New York: John Wiley & Sons Inc, 1998, 10: 507~540.
〔8〕International Ocean Colour Coordinating Group. IOCCG Report No 1: Minimum Requirements for an Operational Ocean-Colour Sensor for the Open Ocean. IOCCG Project Office, Dartmouth, Canada, 1998.46.
〔9〕International Ocean Colour Coordinating Group. IOCCG Report No 2: Status and Plans for Satellite Ocean-color Missions: Considerations for Complementary Missions〔R〕.IOCCG Project Office, Dartmouth, Canada, 1999.42.
〔10〕JGOFS. JGOFS Report No 20: Remote Sensing in the JGO-FS Program. JGOFS Core Projects Office, Bergen, Norway,1996.43.
〔11〕Lewis M R, Carr M E, Feldman G C,et al. Influence of penetrating solar radiation on the heat budget of the equatorial Pacific Ocean〔J〕. Nature, 1990,347: 543~545.
〔12〕Pauly D, Christensen V. Primary production required to sustain global fisheries〔J〕. Nature, 1995,374: 255~257.
〔13〕Pauly D, Christensen V, Dalsgaard J,et al. Fishing down marine food-webs〔J〕. Science, 1998,279: 860~863.
〔14〕Pernetta J C, Milliman J D. Land-Ocean Interactions in the Coastal Zone: Implementation Plan〔R〕. IGBP Global Change Report, 1995, 33(1): 215.
〔15〕Platt T, Sathyendranath S. Oceanic primary production:Estimation by remote sensing at local and regional scales〔J〕. Science, 1988, 241:1 613~1 620.
〔16〕Sathyendranath S, Gouveia A D, Shetye S R,et al.Biological control of surface temperature in the Arabian Sea〔J〕. Nature, 1991,349: 54~56.
〔17〕Sugimoto T, Tameishi H. Warm-core rings, streamers and their role on the fishing ground formation around Japan〔J〕.Deep-Sea Res, 1992, 39(2): 183~201.

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