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首页> 外文会议>Sentinel-3 OLCI/SLSTR and MERIS/(A)ATSR workshop >EVALUATION OF MODIS AND MERIS RADIOMETRIC AND CHLOROPHYLL_A PRODUCTS IN LIGURIAN AND NORTH TYRRHENIAN WATERS
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EVALUATION OF MODIS AND MERIS RADIOMETRIC AND CHLOROPHYLL_A PRODUCTS IN LIGURIAN AND NORTH TYRRHENIAN WATERS

机译：利古里亚和北提瑞尼亚水域的MODIS和MERIS放射线和叶绿素_a产物的评价。

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摘要

An evaluation of MODIS (Moderate resolutionrnImaging Spectroradiometer) and MERIS FRS (MediumrnResolution Imaging Spectrometer, Full Resolution)rnradiometric and Chlorophyll concentration ([CHL])rnproducts is presented concerning the Ligurian andrnNorth Tyrrhenian seas. A dataset of in situ datarncollected during different oceanographic campaigns inrnthese sea areas over the last three years is used tornassess the quality of these products. Different oceanrncolor [CHL] algorithms were taken into consideration:rnthe global MODIS algorithms OC3M [O’Reilly et al.rn2000] and MedOC3 [Santoleri et al. 2008], MODISrnand MERIS OC5 [Gohin et al. 2002], and MERISrnAlgal Pigment Index Ⅰ (Algal 1) [Morel and Antoinern2000] and Algal Pigment Index Ⅱ (Algal 2) [Schillerrnand Doerffer 1999]. The two global MODIS algorithmsrnshow the known overestimation of [CHL], which isrnparticularly evident in turbid coastal waters [Morel andrnGentili, 2009]. This problem is reduced by thernapplication of OC5 to both MODIS and MERIS data.rnThe MERIS Algal 1 algorithm performs poorly inrncoastal waters, while Algal 2 yields results similar tornthose of OC5. Considerations are finally providedrnabout the quality of the satellite data and algorithmsrnanalyzed depending on varying water opticalrnproperties.
机译：介绍了对利古里亚和北第勒尼安海的MODIS（中等分辨率成像光谱仪）和MERIS FRS（中等分辨率成像光谱仪，全分辨率）辐射计和叶绿素浓度（[CHL]）产品的评估。最近三年在这些海域的不同海洋活动中收集的原位数据集用于评估这些产品的质量。考虑了不同的Oceancolor [CHL]算法：全局MODIS算法OC3M [O'Reilly等。2000]和MedOC3 [Santoleri等。 2008]，MODISrnand MERIS OC5 [Gohin et al。 2002]，以及MERISrn藻类颜料指数Ⅰ（藻类1）[Morel和Antoinern2000]和藻类颜料指数Ⅱ（藻类2）[Schillerrnand Doerffer 1999]。两种全球MODIS算法显示了[CHL]的已知高估，这在浑浊的沿海水域中尤为明显[Morel andrnGentili，2009]。通过将OC5应用于MODIS和MERIS数据，可以减少此问题。MERISAlgal 1算法对沿海水域的污染较差，而Algal 2算法产生的结果与OC5相似。最终提供了有关卫星数据质量和根据变化的水光学特性进行分析的算法的考虑。

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  • 会议地点 Frascati(IT)
  • 作者

    C. Lapucci; F. Gohin; M. Ampolo Rella; C. Brandini; B. Gozzini; F. Maselli; L. Massi; C. Nuccio; A. Ortolani; C. Trees;

  • 作者单位

    Institute of BioMeteorology, National Council of Research (IBIMET-CNR), Florence, Italy Laboratory for Meteorology and Environmental Modelling (LaMMA Consortium), Florence, Italy, Email: lapucci@lamma.rete.toscana.it;

    DYNECO/PELAGOS IFREMER BREST, BP 70 29280 Plouzane Brittany, France Email: Francis.Gohin@ifremer.fr;

    Center for Marittime Research and Experimentation (CMRE), Engineering and Technology Department, Viale S. Bartolomeo 400, 19126 La Spezia – Italy, Email Ampolo@nurc.nato.int;

    Institute of BioMeteorology, National Council of Research (IBIMET-CNR), Florence, Italy Laboratory for Meteorology and Environmental Modelling (LaMMA Consortium), Florence, Italy;

    Institute of BioMeteorology, National Council of Research (IBIMET-CNR), Florence, Italy Laboratory for Meteorology and Environmental Modelling (LaMMA Consortium), Florence, Italy;

    Institute of BioMeteorology, National Council of Research (IBIMET-CNR), Florence, Italy;

    Laboratorio di Ecologia e Fisiologia Vegetale Dipartimento di Biologia Evoluzionistica, Università di Firenze, Via Micheli 1, 50121 Firenze, Italy, Email luca.massi@unifi.it;

    Laboratorio di Ecologia e Fisiologia Vegetale Dipartimento di Biologia Evoluzionistica, Università di Firenze, Via Micheli 1, 50121 Firenze, Italy;

    Institute of BioMeteorology, National Council of Research (IBIMET-CNR), Florence, Italy Laboratory for Meteorology and Environmental Modelling (LaMMA Consortium), Florence, Italy;

    Center for Marittime Research and Experimentation (CMRE), Remote Sensing Group, Viale S. Bartolomeo 400, 19126 La Spezia - Italy, Email Trees@cmre.nato.int;

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