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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. / Mendonça, Ana P.; Martins, Ana M.; Figueiredo, Miguel P.; Bashmachnikov, Igor L.; Couto, Andre; Lafon, Virginie M.; Aristegui, Javier.

In: Journal of Applied Remote Sensing, Vol. 4, No. 1, 043506, 01.12.2010.

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APA

Mendonça, A. P., Martins, A. M., Figueiredo, M. P., Bashmachnikov, I. L., Couto, A., Lafon, V. M., & Aristegui, J. (2010). 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. Journal of Applied Remote Sensing, 4(1), [043506]. https://doi.org/10.1117/1.3328872

Vancouver

Author

Mendonça, Ana P. ; Martins, Ana M. ; Figueiredo, Miguel P. ; Bashmachnikov, Igor L. ; Couto, Andre ; Lafon, Virginie M. ; Aristegui, Javier. / 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. In: Journal of Applied Remote Sensing. 2010 ; Vol. 4, No. 1.

BibTeX

@article{fd7145ed326d4d9f9fbe8ff72dcdf2ab,
title = "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",
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.",
keywords = "Northeast Atlantic, ocean color, sea surface temperature, seamounts, temporal variability",
author = "Mendon{\c c}a, {Ana P.} and Martins, {Ana M.} and Figueiredo, {Miguel P.} and Bashmachnikov, {Igor L.} and Andre Couto and Lafon, {Virginie M.} and Javier Aristegui",
year = "2010",
month = dec,
day = "1",
doi = "10.1117/1.3328872",
language = "English",
volume = "4",
journal = "Journal of Applied Remote Sensing",
issn = "1931-3195",
publisher = "SPIE",
number = "1",

}

RIS

TY - JOUR

T1 - Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data

T2 - A case study of temporal and spatial variability on two northeast Atlantic seamounts

AU - Mendonça, Ana P.

AU - Martins, Ana M.

AU - Figueiredo, Miguel P.

AU - Bashmachnikov, Igor L.

AU - Couto, Andre

AU - Lafon, Virginie M.

AU - Aristegui, Javier

PY - 2010/12/1

Y1 - 2010/12/1

N2 - 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.

AB - 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.

KW - Northeast Atlantic

KW - ocean color

KW - sea surface temperature

KW - seamounts

KW - temporal variability

UR - http://www.scopus.com/inward/record.url?scp=80055054526&partnerID=8YFLogxK

U2 - 10.1117/1.3328872

DO - 10.1117/1.3328872

M3 - Article

AN - SCOPUS:80055054526

VL - 4

JO - Journal of Applied Remote Sensing

JF - Journal of Applied Remote Sensing

SN - 1931-3195

IS - 1

M1 - 043506

ER -

ID: 39893154