Estimating aerosol parameters above the ocean from MERIS observations using topological maps
International audience A topological Neural Network (Kohonen map) was used here to retrieve the aerosol optical properties over ocean case 1 waters from the MEdium Resolution Imaging Spectrometer (MERIS) observations. The Kohonen map was first used to aggregate similar spectral MERIS signatures in 4...
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ftceafr:oai:HAL:hal-01507524v1 2024-09-15T17:35:12+00:00 Estimating aerosol parameters above the ocean from MERIS observations using topological maps Brajard, Julien Niang, Awa Sawadogo, Salam Fell, Frank Santer, Richard Thiria, Sylvie Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Université Cheikh Anta Diop de Dakar Sénégal (UCAD) École Supérieure Polytechnique de Dakar (ESP) Free University of Berlin (FU) Université du Littoral Côte d'Opale (ULCO) 2007 https://hal.science/hal-01507524 https://doi.org/10.1080/01431160600821101 en eng HAL CCSD Taylor & Francis info:eu-repo/semantics/altIdentifier/doi/10.1080/01431160600821101 hal-01507524 https://hal.science/hal-01507524 doi:10.1080/01431160600821101 ISSN: 0143-1161 EISSN: 1366-5901 International Journal of Remote Sensing https://hal.science/hal-01507524 International Journal of Remote Sensing, 2007, 28 (3-4), pp.781--795. ⟨10.1080/01431160600821101⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2007 ftceafr https://doi.org/10.1080/01431160600821101 2024-07-22T13:29:02Z International audience A topological Neural Network (Kohonen map) was used here to retrieve the aerosol optical properties over ocean case 1 waters from the MEdium Resolution Imaging Spectrometer (MERIS) observations. The Kohonen map was first used to aggregate similar spectral MERIS signatures in 400 pertinent groups without any a priori information on the corresponding optical properties of atmosphere and ocean. For this purpose, more than 148.000 spectra taken from 85 MERIS images collected in 2003 and 2004 over the Mediterranean Sea were processed to train the Kohonen map. The 400 groups were then labelled using synthetic spectra (of which the corresponding optical properties are known) generated by the MOMO (Matrix Operator MethOd) code.This algorithm was successfully applied to a set of 5 MERIS images representative of the conditions prevailing in the Eastern Mediterranean. The good spatial homogeneity of the level‐2 atmospheric products – the atmospheric reflectance and the aerosol optical thickness (AOT) – is a first indication of the potential of the presented method. Ground based measurements of the AOT provided by the AERONET (AErosol RObotic NEtwork) program, collected on a small island (Lampedusa) in the Mediterranean Sea, validated our method for the five selected days. Article in Journal/Newspaper Aerosol Robotic Network HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) International Journal of Remote Sensing 28 3-4 781 795 |
institution |
Open Polar |
collection |
HAL-CEA (Commissariat à l'énergie atomique et aux énergies alternatives) |
op_collection_id |
ftceafr |
language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Brajard, Julien Niang, Awa Sawadogo, Salam Fell, Frank Santer, Richard Thiria, Sylvie Estimating aerosol parameters above the ocean from MERIS observations using topological maps |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience A topological Neural Network (Kohonen map) was used here to retrieve the aerosol optical properties over ocean case 1 waters from the MEdium Resolution Imaging Spectrometer (MERIS) observations. The Kohonen map was first used to aggregate similar spectral MERIS signatures in 400 pertinent groups without any a priori information on the corresponding optical properties of atmosphere and ocean. For this purpose, more than 148.000 spectra taken from 85 MERIS images collected in 2003 and 2004 over the Mediterranean Sea were processed to train the Kohonen map. The 400 groups were then labelled using synthetic spectra (of which the corresponding optical properties are known) generated by the MOMO (Matrix Operator MethOd) code.This algorithm was successfully applied to a set of 5 MERIS images representative of the conditions prevailing in the Eastern Mediterranean. The good spatial homogeneity of the level‐2 atmospheric products – the atmospheric reflectance and the aerosol optical thickness (AOT) – is a first indication of the potential of the presented method. Ground based measurements of the AOT provided by the AERONET (AErosol RObotic NEtwork) program, collected on a small island (Lampedusa) in the Mediterranean Sea, validated our method for the five selected days. |
author2 |
Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Université Cheikh Anta Diop de Dakar Sénégal (UCAD) École Supérieure Polytechnique de Dakar (ESP) Free University of Berlin (FU) Université du Littoral Côte d'Opale (ULCO) |
format |
Article in Journal/Newspaper |
author |
Brajard, Julien Niang, Awa Sawadogo, Salam Fell, Frank Santer, Richard Thiria, Sylvie |
author_facet |
Brajard, Julien Niang, Awa Sawadogo, Salam Fell, Frank Santer, Richard Thiria, Sylvie |
author_sort |
Brajard, Julien |
title |
Estimating aerosol parameters above the ocean from MERIS observations using topological maps |
title_short |
Estimating aerosol parameters above the ocean from MERIS observations using topological maps |
title_full |
Estimating aerosol parameters above the ocean from MERIS observations using topological maps |
title_fullStr |
Estimating aerosol parameters above the ocean from MERIS observations using topological maps |
title_full_unstemmed |
Estimating aerosol parameters above the ocean from MERIS observations using topological maps |
title_sort |
estimating aerosol parameters above the ocean from meris observations using topological maps |
publisher |
HAL CCSD |
publishDate |
2007 |
url |
https://hal.science/hal-01507524 https://doi.org/10.1080/01431160600821101 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 0143-1161 EISSN: 1366-5901 International Journal of Remote Sensing https://hal.science/hal-01507524 International Journal of Remote Sensing, 2007, 28 (3-4), pp.781--795. ⟨10.1080/01431160600821101⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1080/01431160600821101 hal-01507524 https://hal.science/hal-01507524 doi:10.1080/01431160600821101 |
op_doi |
https://doi.org/10.1080/01431160600821101 |
container_title |
International Journal of Remote Sensing |
container_volume |
28 |
container_issue |
3-4 |
container_start_page |
781 |
op_container_end_page |
795 |
_version_ |
1810444354458746880 |