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...
Published in: | IEEE Geoscience and Remote Sensing Letters |
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2014
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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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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 |
_version_ |
1810442911505973248 |