Bio-optical variability in multiple water masses across a tropical shelf: Implications for ocean colour remote sensing models

被引：7
|
作者：
Cherukuru, Nagur [1 ]
Dekker, Arnold G. [1 ]
Hardman-Mountford, Nick J. [2 ]
Clementson, Lesley A. [3 ]
Thompson, Peter A. [3 ]
机构：
[1] CSIRO Oceans & Atmosphere, Canberra, ACT, Australia
[2] CSIRO Oceans & Atmosphere, Perth, WA, Australia
[3] CSIRO Oceans & Atmosphere, Hobart, Tas, Australia
来源：
ESTUARINE COASTAL AND SHELF SCIENCE | 2019年 / 219卷
关键词：
Optical properties; Kimberley shelf; Indian ocean; Tropics; Australia; Remote sensing; INHERENT OPTICAL-PROPERTIES; LEEUWIN CURRENT; PHYTOPLANKTON; CIRCULATION; DISCHARGE; DYNAMICS; SYSTEM; IMPACT;
D O I：
10.1016/j.ecss.2019.02.015
中图分类号：
Q17 [水生生物学];
学科分类号：
071004 ;
摘要：
Development and implementation of region specific ocean colour remote sensing models in the tropical Kimberley Marine Region (KMR) is limited due to lack bio-optical knowledge from this remote ecosystem. To address this knowledge gap and to offer bio-optical parametrisation for ocean colour models, we analysed a bio-optical dataset collected during April May 2010. Results from our bio-optical analysis shows, (1) the presence of multiple water masses as generated by regional oceanographic processes, (2) biogeochemical properties of particulate and dissolved substances to change between different water masses, (3) bio-optical properties to vary between the observed water masses and finally (4) comparison of bio-optical properties showed the limitations in the extrapolation of optical models from other regions. To improve the validity and accuracy of ocean colour remote sensing models used, the bio-optical parametrisation presented in this study for different water masses should be used in the KMR.
引用
收藏
页码：223 / 230
页数：8
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共 41 条
  • [1] Seasonal and spatial variability in bio-optical properties of the Persian Gulf: Implications for ocean color remote sensing
    Moradi, Masoud
    Arabi, Behnaz
    [J]. CONTINENTAL SHELF RESEARCH, 2023, 266
  • [2] Optimizing retrieval spaces of bio-optical models for remote sensing of ocean color
    Hannadige, Neranga K.
    Zhai, Peng-Wang
    Werdell, P. Jeremy
    Gao, Meng
    Franz, Bryan A.
    Knobelspiesse, Kirk
    Ibrahim, Amir
    [J]. APPLIED OPTICS, 2023, 62 (13) : 3299 - 3309
  • [3] BIO-OPTICAL STATE OF OCEAN WATERS AND REMOTE-SENSING
    SMITH, RC
    BAKER, KS
    [J]. LIMNOLOGY AND OCEANOGRAPHY, 1978, 23 (02) : 247 - 259
  • [4] Bio-Optical Model of Remote Sensing Signals in a Stratified Ocean
    Churnside, James H.
    [J]. OCEAN SENSING AND MONITORING VII, 2015, 9459
  • [5] Bio-optical model with optimal parameter suitable for Taihu Lake in water colour remote sensing
    Ma, R.
    Tang, J.
    Dai, J.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (19) : 4305 - 4328
  • [6] Bio-optical model to describe remote sensing signals from a stratified ocean
    Churnside, James H.
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [7] Bio-optical model to describe remote sensing signals from a stratified ocean
    [J]. Churnside, James H. (james.h.churnside@noaa.gov), 1600, SPIE (09):
  • [8] Contribution to a bio-optical model for remote sensing of Lena River water
    Orek, H.
    Doerffer, R.
    Rottgers, R.
    Boersma, M.
    Wiltshire, K. H.
    [J]. BIOGEOSCIENCES, 2013, 10 (11) : 7081 - 7094
  • [9] Bio-optical modelling combined with remote sensing to assess water quality
    Ammenberg, P
    Flink, P
    Lindell, T
    Pierson, D
    Strömbeck, N
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (08) : 1621 - 1638
  • [10] Bio-optical characteristics of the Patagonia Shelf break waters: Implications for ocean color algorithms
    Ferreira, Amabile
    Garcia, Carlos A. E.
    Dogliotti, Ana I.
    Garcia, Virginia M. T.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2013, 136 : 416 - 432
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