Match-up Analysis of MERIS Radiometric Data in the Northern Adriatic Sea

This work evaluates the normalized water-leaving reflectance obtained from two atmospheric corrections built in the MEGS 8.0 processor applied to Medium Resolution Imaging Spectrometer (MERIS) marine data. In situ reference data for inter-comparisons with satellite derived reflectance products are f...

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Published in:IEEE Geoscience and Remote Sensing Letters
Main Authors: KAJIYAMA Tamito, D'ALIMONTE Davide, ZIBORDI Giuseppe
Language:English
Published: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2014
Subjects:
Online Access:https://publications.jrc.ec.europa.eu/repository/handle/JRC75636
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6509426
https://doi.org/10.1109/LGRS.2013.2244844
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spelling ftjrc:oai:publications.jrc.ec.europa.eu:JRC75636 2024-09-15T17:35:10+00:00 Match-up Analysis of MERIS Radiometric Data in the Northern Adriatic Sea KAJIYAMA Tamito D'ALIMONTE Davide ZIBORDI Giuseppe 2014 Print https://publications.jrc.ec.europa.eu/repository/handle/JRC75636 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6509426 https://doi.org/10.1109/LGRS.2013.2244844 eng eng IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC JRC75636 2014 ftjrc https://doi.org/10.1109/LGRS.2013.2244844 2024-07-22T04:42:16Z This work evaluates the normalized water-leaving reflectance obtained from two atmospheric corrections built in the MEGS 8.0 processor applied to Medium Resolution Imaging Spectrometer (MERIS) marine data. In situ reference data for inter-comparisons with satellite derived reflectance products are from the Ocean Color component of the Aerosol Robotic Network (AERONET-OC). Case of study is the northern Adriatic Sea AERONET-OC site characterized by both Case-1 and Case-2 waters. Accuracy of MERIS pigments indices is also discussed in relation to uncertainties and biases in atmospherically corrected data. JRC.H.1 - Water Resources Other/Unknown Material Aerosol Robotic Network Joint Research Centre, European Commission: JRC Publications Repository IEEE Geoscience and Remote Sensing Letters 11 1 19 23
institution Open Polar
collection Joint Research Centre, European Commission: JRC Publications Repository
op_collection_id ftjrc
language English
description This work evaluates the normalized water-leaving reflectance obtained from two atmospheric corrections built in the MEGS 8.0 processor applied to Medium Resolution Imaging Spectrometer (MERIS) marine data. In situ reference data for inter-comparisons with satellite derived reflectance products are from the Ocean Color component of the Aerosol Robotic Network (AERONET-OC). Case of study is the northern Adriatic Sea AERONET-OC site characterized by both Case-1 and Case-2 waters. Accuracy of MERIS pigments indices is also discussed in relation to uncertainties and biases in atmospherically corrected data. JRC.H.1 - Water Resources
author KAJIYAMA Tamito
D'ALIMONTE Davide
ZIBORDI Giuseppe
spellingShingle KAJIYAMA Tamito
D'ALIMONTE Davide
ZIBORDI Giuseppe
Match-up Analysis of MERIS Radiometric Data in the Northern Adriatic Sea
author_facet KAJIYAMA Tamito
D'ALIMONTE Davide
ZIBORDI Giuseppe
author_sort KAJIYAMA Tamito
title Match-up Analysis of MERIS Radiometric Data in the Northern Adriatic Sea
title_short Match-up Analysis of MERIS Radiometric Data in the Northern Adriatic Sea
title_full Match-up Analysis of MERIS Radiometric Data in the Northern Adriatic Sea
title_fullStr Match-up Analysis of MERIS Radiometric Data in the Northern Adriatic Sea
title_full_unstemmed Match-up Analysis of MERIS Radiometric Data in the Northern Adriatic Sea
title_sort match-up analysis of meris radiometric data in the northern adriatic sea
publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
publishDate 2014
url https://publications.jrc.ec.europa.eu/repository/handle/JRC75636
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6509426
https://doi.org/10.1109/LGRS.2013.2244844
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation JRC75636
op_doi https://doi.org/10.1109/LGRS.2013.2244844
container_title IEEE Geoscience and Remote Sensing Letters
container_volume 11
container_issue 1
container_start_page 19
op_container_end_page 23
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