OCEAN COLOR REMOTE-SENSING AND THE SUBSURFACE VERTICAL STRUCTURE OF PHYTOPLANKTON PIGMENTS

被引:26
|
作者
ANDRE, JM
机构
[1] CTR ETUD SACLAY,MODELISAT CLIMAT & ENVIRONNEMENT LAB,F-91191 GIF SUR YVETTE,FRANCE
[2] UNIV PARIS 06,F-75252 PARIS 05,FRANCE
来源
DEEP-SEA RESEARCH PART A-OCEANOGRAPHIC RESEARCH PAPERS | 1992年 / 39卷 / 5A期
关键词
D O I
10.1016/0198-0149(92)90119-E
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
In order to use to the best advantage the phytoplankton pigment concentration estimates obtained by observing the ocean from space, it is important to evaluate what information they actually provide concerning the vertical distribution of the pigments within the surface layer. By using an optical model, the satellite estimate is predicted for oceans with various vertical pigment profiles. Simulations made for selected modeled profiles show that the satellite estimate differs from the concentration at the very surface only when abrupt vertical variations occur within the first few meters of the ocean upper layer. Simulations made for a large number of actual profiles measured in situ show that such situations are exceptional in the ocean and that the satellite, as a general rule, provides an estimate of a truly "near-surface" concentration. The currently used "optically weighted concentration" is shown to provide an inadequate representation of the satellite estimate where stratification effects are significant. In common oceanic situations, in contrast, this concept is quite acceptable but can be safely replaced by a more simple (arithmetic and non-optical) depth average of the upper pigment profile.
引用
收藏
页码:763 / 779
页数:17
相关论文
共 50 条
  • [22] Estimation of phytoplankton taxonomic groups in the Arctic Ocean using phytoplankton absorption properties: implication for ocean-color remote sensing
    Zhang, Hailong
    Devred, Emmanuel
    Fujiwara, Amane
    Qiu, Zhongfeng
    Liu, Xiaohan
    OPTICS EXPRESS, 2018, 26 (24): : 32280 - 32301
  • [23] RELATIONSHIPS BETWEEN CHLOROPHYLL AND OCEAN COLOR CONSTITUENTS AS THEY AFFECT REMOTE-SENSING REFLECTANCE MODELS
    CARDER, KL
    STEWARD, RG
    PAUL, JH
    VARGO, GA
    LIMNOLOGY AND OCEANOGRAPHY, 1986, 31 (02) : 403 - 413
  • [24] Remote sensing estimation of phytoplankton groups using Chinese ocean Color satellite data
    Sun D.
    Chen Y.
    Liu J.
    Wang S.
    He Y.
    National Remote Sensing Bulletin, 2023, 27 (01) : 128 - 144
  • [25] PASSIVE MICROWAVE REMOTE-SENSING OF THE OCEAN - REVIEW
    SWIFT, CT
    BOUNDARY-LAYER METEOROLOGY, 1980, 18 (01) : 25 - 54
  • [26] PASSIVE MICROWAVE REMOTE-SENSING OF THE ATMOSPHERE AND OCEAN
    HARIHARAN, TA
    PANDEY, PC
    PROCEEDINGS OF THE INDIAN ACADEMY OF SCIENCES-ENGINEERING SCIENCES, 1983, 6 (SEP): : 233 - 254
  • [27] Remote-sensing observations relevant to ocean acidification
    Sun, Qingyang
    Tang, Danling
    Wang, Sufen
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (23) : 7542 - 7558
  • [28] ADVANCES IN MICROWAVE REMOTE-SENSING OF THE OCEAN AND ATMOSPHERE
    PANDEY, PC
    HARIHARAN, TA
    PROCEEDINGS OF THE INDIAN ACADEMY OF SCIENCES-EARTH AND PLANETARY SCIENCES, 1984, 93 (03): : 257 - 282
  • [29] REMOTE-SENSING OF THE OCEAN AND OF VEGETATION WITH A FLUORESCENT LIDAR
    CECCHI, G
    PANTANI, L
    QUANTUM ELECTRONICS AND PLASMA PHYSICS: 5TH ITALIAN CONFERENCE, 1989, 21 : 291 - 296
  • [30] DETERMINATION OF OCEAN REFLECTANCE BY MULTISPECTRAL REMOTE-SENSING
    PIESIK, B
    ZIMMERMANN, G
    ACTA ASTRONAUTICA, 1984, 11 (7-8) : 349 - 351