An Optical Model for the Remote-Sensing of Absorption Coefficients of Phytoplankton in Oceanic/Coastal Waters

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org

"An Optical Model for the Remote-Sensing of Absorption Coefficients of Phytoplankton in Oceanic/Coastal Waters"
written by Surya Prakash Tiwari, Palanisamy Shanmugam,
published by Advances in Remote Sensing, Vol.1 No.2, 2012

has been cited by the following article(s):

[1]	Modeling ocean surface chlorophyll-a concentration from ocean color remote sensing reflectance in global waters using machine learning
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[2]	An Ocean Color Algorithm Based on Power Functions to Retrieve Inherent Optical Properties From Remotely Sensed Data Off the Baja California Peninsula, Mexico
	2019

[3]	Свёрточно-параметрический метод измерения концентрации хлорофилла а в морской воде
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[4]	Dominance of cyanobacterial and cryptophytic assemblage correlated to CDOM at heavy metal contamination sites of Gujarat, India
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[5]	THE PAPER\| Remote Sensing Applications: Beyond Land-Use and Land-Cover Change
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[6]	An evaluation of models for the satellite-estimation of phytoplankton absorption coefficients in coastal/oceanic waters
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[7]	Modelling the inherent optical properties and estimating the constituents' concentrations in turbid and eutrophic waters
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[8]	Modelling the inherent optical properties and estimating the constituents׳ concentrations in turbid and eutrophic waters
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[9]	Inversion models to retrieve the inherent optical properties (IOPs) from satellite ocean colour data
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[10]	Remote Sensing Applications: Beyond Land-Use and Land-Cover Change
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[1]	An Ocean Color Algorithm Based on Power Functions to Retrieve Inherent Optical Properties From Remotely Sensed Data Off the Baja California Peninsula, Mexico IEEE Transactions on Geoscience and Remote Sensing, 2020 DOI:10.1109/TGRS.2019.2949946

[2]	Dominance of cyanobacterial and cryptophytic assemblage correlated to CDOM at heavy metal contamination sites of Gujarat, India Environmental Monitoring and Assessment, 2015 DOI:10.1007/s10661-014-4118-6

[3]	Modelling the inherent optical properties and estimating the constituents׳ concentrations in turbid and eutrophic waters Continental Shelf Research, 2014 DOI:10.1016/j.csr.2014.05.013

[4]	An Evaluation of Models for the Satellite-Estimation of Phytoplankton Absorption Coefficients in Coastal/ Oceanic Waters IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014 DOI:10.1109/JSTARS.2013.2252151

[5]	Remote Sensing Applications: Beyond Land-Use and Land-Cover Change Advances in Remote Sensing, 2013 DOI:10.4236/ars.2013.23025