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Development of a bio-optical model for the Barents Sea to quantitatively link glider and satellite observations.
Kostakis, I; Röttgers, R; Orkney, A; Bouman, H A; Porter, M; Cottier, F; Berge, J; McKee, D.
Afiliação
  • Kostakis I; Physics Department, University of Strathclyde, Glasgow, UK.
  • Röttgers R; Remote Sensing Department, Helmholtz-Zentrum Geesthacht, Geesthacht, Germany.
  • Orkney A; Department of Earth Sciences, University of Oxford, Oxford, UK.
  • Bouman HA; Department of Earth Sciences, University of Oxford, Oxford, UK.
  • Porter M; Scottish Association for Marine Science, Oban, UK.
  • Cottier F; Scottish Association for Marine Science, Oban, UK.
  • Berge J; Department Arctic and Marine biology, Faculty for Bioscience, Fisheries and Economy, UiT The Arctic University of Norway, Tromsø, Norway.
  • McKee D; Department Arctic and Marine biology, Faculty for Bioscience, Fisheries and Economy, UiT The Arctic University of Norway, Tromsø, Norway.
Philos Trans A Math Phys Eng Sci ; 378(2181): 20190367, 2020 Oct 02.
Article em En | MEDLINE | ID: mdl-32862821
A bio-optical model for the Barents Sea is determined from a set of in situ observations of inherent optical properties (IOPs) and associated biogeochemical analyses. The bio-optical model provides a pathway to convert commonly measured parameters from glider-borne sensors (CTD, optical triplet sensor-chlorophyll and CDOM fluorescence, backscattering coefficients) to bulk spectral IOPs (absorption, attenuation and backscattering). IOPs derived from glider observations are subsequently used to estimate remote sensing reflectance spectra that compare well with coincident satellite observations, providing independent validation of the general applicability of the bio-optical model. Various challenges in the generation of a robust bio-optical model involving dealing with partial and limited quantity datasets and the interpretation of data from the optical triplet sensor are discussed. Establishing this quantitative link between glider-borne and satellite-borne data sources is an important step in integrating these data streams and has wide applicability for current and future integrated autonomous observation systems. This article is part of the theme issue 'The changing Arctic Ocean: consequences for biological communities, biogeochemical processes and ecosystem functioning'.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água do Mar / Monitoramento Ambiental / Ecossistema / Imagens de Satélites País como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Água do Mar / Monitoramento Ambiental / Ecossistema / Imagens de Satélites País como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article