Research Papers

Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: a case study of temporal and spatial variability on two northeast Atlantic seamounts

[+] Author Affiliations
Ana Mendonca, Ana Martins

Universidade dos Acores, Departamento de Oceanografia e Pescas, Cais de Santa Cruz, Horta, Acores 9901-863 Portugal

Miguel Figueiredo, Igor Bashmachnikov, Andre Couto, Virginie Lafon

Centro do IMAR da Universidade dos Acores, Departamento de Oceanografi´a e Pescas, Horta Portugal

Javier Aristegui

Universidad de Las Palmas de Gran Canaria, Facultad de Ciencias del Mar, Spain

J. Appl. Remote Sens. 4(1), 043506 (February 3, 2010). doi:10.1117/1.3328872
History: Received December 13, 2007; Revised January 13, 2010; Accepted January 20, 2010; February 3, 2010; Online February 03, 2010
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Abstract

Main objectives of this paper are to evaluate SeaWiFS, MODIS, and AVHRR satellite imagery performances against in situ data around two Northeast Atlantic seamounts, Sedlo and Seine. The temporal and spatial variability of satellite-derived near-surface chlorophyll a (Chl a) and sea surface temperature (SST) is also analysed. SeaWiFS tends to show good accuracy with the in situ data for Sedlo seamount, while for Seine it tends to slightly overestimate the values. Oppositely, MODIS tends to underestimate Chl a for both seamounts. Match-up SST analyses show that MODIS underestimates the in situ values on Seine seamount. The best correlation was attained with AVHRR on Sedlo. Seasonal variations are clearly pronounced on Sedlo with typical spring and autumn Chl a blooms, while further to the south, on Seine, less intense blooms are registered, as expected. Higher/lower SST values are observed during summer/winter respectively, showing clear seasonal patterns. A time lag of about one month for the maximum SST heating/cooling from Sedlo to Seine is noted.

© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Ana Mendonca ; Ana Martins ; Miguel Figueiredo ; Igor Bashmachnikov ; Andre Couto, et al.
"Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: a case study of temporal and spatial variability on two northeast Atlantic seamounts", J. Appl. Remote Sens. 4(1), 043506 (February 3, 2010). ; http://dx.doi.org/10.1117/1.3328872


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