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Validation of Envisat MERIS algorithms for chlorophyll retrieval in a large, turbid and optically-complex shallow lake

Crossref DOI link: https://doi.org/10.1016/j.rse.2014.07.024

Published Print: 2015-02

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Palmer, Stephanie C.J.

Hunter, Peter D.

Lankester, Thomas

Hubbard, Steven

Spyrakos, Evangelos

N. Tyler, Andrew

Présing, Mátyás

Horváth, Hajnalka

Lamb, Alistair

Balzter, Heiko

Tóth, Viktor R.
Funding

Funding for this research was provided by:

European Commission (PITN-GA-2010-264509)

Fonds de recherche du Québec – Nature et technologies

Natural Environment Research Council (NE/J024279/1)

Royal Society (2011/R3)
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Text and Data Mining valid from 2015-02-01

Text and Data Mining valid from 2015-02-01

Version of Record valid from 2014-08-22
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This article is maintained by: Elsevier

Article Title: Validation of Envisat MERIS algorithms for chlorophyll retrieval in a large, turbid and optically-complex shallow lake

Journal Title: Remote Sensing of Environment

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.rse.2014.07.024

Content Type: article

Copyright: Copyright © 2014 The Authors. Published by Elsevier Inc.