Algorithmic procedure for retrieving calorific contents of marine phytoplankton from space

Microscopic marine phytoplankton are crucial for the survival of marine animals and sustainability of marine food webs. Developing our capability to estimate and monitor the calorific value of marine phytoplankton in the global ocean is, therefore, invaluable. Using satellite remote-sensing, Roy (20...

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Autor principal:	Shovonlal Roy
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Ocean colour Satellite algorithm Phytoplankton carbohydrate Phytoplankton protein Phytoplankton lipid Phytoplankton energy content Science Q
Acceso en línea:	https://doaj.org/article/a8552125307248ce82be777ff5acc4bb
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spelling	oai:doaj.org-article:a8552125307248ce82be777ff5acc4bb2021-11-26T04:30:05ZAlgorithmic procedure for retrieving calorific contents of marine phytoplankton from space2215-016110.1016/j.mex.2021.101579https://doaj.org/article/a8552125307248ce82be777ff5acc4bb2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2215016121003691https://doaj.org/toc/2215-0161Microscopic marine phytoplankton are crucial for the survival of marine animals and sustainability of marine food webs. Developing our capability to estimate and monitor the calorific value of marine phytoplankton in the global ocean is, therefore, invaluable. Using satellite remote-sensing, Roy (2018) reported the first global estimates of phytoplankton macromolecular concentrations based on a novel semi-analytical ocean-colour algorithm. The complete retrieval method builds on semi-analytical computational steps that were developed independently and were customised for ad-hoc applications to certain ocean-colour repository. Given the increasing interest in applying this method in local, regional and global scales, the technical details and customizations associated with the method is presented in this paper. • The method is presented with extensive level of technical details with illustrations, so that the users can follow this standalone document and implement the method on a coding platform of their choice. • The method can be implemented on any satellite ocean-colour repository, and at any spatial or temporal resolution. • Given that a wide variety of software packages are used in the field of ocean-colour algorithms and that the users may be constrained with certain coding platforms, no specific software package is made mandatory to implement the method.Shovonlal RoyElsevierarticleOcean colourSatellite algorithmPhytoplankton carbohydratePhytoplankton proteinPhytoplankton lipidPhytoplankton energy contentScienceQENMethodsX, Vol 8, Iss , Pp 101579- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Ocean colour Satellite algorithm Phytoplankton carbohydrate Phytoplankton protein Phytoplankton lipid Phytoplankton energy content Science Q
spellingShingle	Ocean colour Satellite algorithm Phytoplankton carbohydrate Phytoplankton protein Phytoplankton lipid Phytoplankton energy content Science Q Shovonlal Roy Algorithmic procedure for retrieving calorific contents of marine phytoplankton from space
description	Microscopic marine phytoplankton are crucial for the survival of marine animals and sustainability of marine food webs. Developing our capability to estimate and monitor the calorific value of marine phytoplankton in the global ocean is, therefore, invaluable. Using satellite remote-sensing, Roy (2018) reported the first global estimates of phytoplankton macromolecular concentrations based on a novel semi-analytical ocean-colour algorithm. The complete retrieval method builds on semi-analytical computational steps that were developed independently and were customised for ad-hoc applications to certain ocean-colour repository. Given the increasing interest in applying this method in local, regional and global scales, the technical details and customizations associated with the method is presented in this paper. • The method is presented with extensive level of technical details with illustrations, so that the users can follow this standalone document and implement the method on a coding platform of their choice. • The method can be implemented on any satellite ocean-colour repository, and at any spatial or temporal resolution. • Given that a wide variety of software packages are used in the field of ocean-colour algorithms and that the users may be constrained with certain coding platforms, no specific software package is made mandatory to implement the method.
format	article
author	Shovonlal Roy
author_facet	Shovonlal Roy
author_sort	Shovonlal Roy
title	Algorithmic procedure for retrieving calorific contents of marine phytoplankton from space
title_short	Algorithmic procedure for retrieving calorific contents of marine phytoplankton from space
title_full	Algorithmic procedure for retrieving calorific contents of marine phytoplankton from space
title_fullStr	Algorithmic procedure for retrieving calorific contents of marine phytoplankton from space
title_full_unstemmed	Algorithmic procedure for retrieving calorific contents of marine phytoplankton from space
title_sort	algorithmic procedure for retrieving calorific contents of marine phytoplankton from space
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/a8552125307248ce82be777ff5acc4bb
work_keys_str_mv	AT shovonlalroy algorithmicprocedureforretrievingcalorificcontentsofmarinephytoplanktonfromspace
_version_	1718409859408330752

Algorithmic procedure for retrieving calorific contents of marine phytoplankton from space

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