Article citationsMore>>

Pozdnyakov, D.V., Pettersson, L.H., Johannessen, O.M., Lyaskovsky, A.V., Filatov, N.N., et al. (2003) SeaWiFS Maps Water Quality Parameters of the White Sea. International Journal of Remote Sensing, 24, 3-6.
https://doi.org/10.1080/01431160210163164

has been cited by the following article:

• TITLE: Some Theoretical and Applied Aspects of the Oceanic Bioluminescence Registration from Space

  AUTHORS: Yuriy Tokarev, Vladimir Vasilenko, Olga Mashukova

  KEYWORDS: Plankton, Sea Bioluminescence, Space Systems

  JOURNAL NAME: Advances in Bioscience and Biotechnology, Vol.8 No.9, September 13, 2017

  ABSTRACT: The analysis of the surface bioluminescence in the World Ocean registration problems for the purposes of its regions ecological express-monitoring and evaluation of the plankton algae spatial distribution at night time by the existing space systems has been proposed. The connection of the plankton community characteristics with a bioluminescent potential (BP) in the euphotic layer and a possibility to evaluate BP according to bioluminescence intensity in the near-surface layer of 0 - 10 m has been demonstrated. It has been shown that with complete correspondence with the vertical structure in the plankton community at the dark time bioluminescence intensity in 0 - 10 m layer exceeds the same in 60 - 70 m layer for one and a half orders and practically determines BP in 0 - 100 m layer. Peculiarities of the plankton organisms light emission, important for the oceanic bioluminescence registration with the space means of observation are under discussion. Equation for calculation of the measured by the space device sea luminescence level and volume of the bioluminescence intensity in the surface layer of theWorldOcean, which can be registered due to modern technical means of the space systems has been corrected. The conclusion has been done that on the base of the space data about spatial and temporal phytoplankton distribution and bioluminescence “in situ” measurements it is possible to create regional algorithms for transition from numerical estimations of the phytoplankton (chlorophyll “a”) to the day time bioluminescent potential and solution of inverse tasks at night time.