Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties?
International audience This paper presents an innovative method for observing vegetation health at a very high spatial resolution (~5 × 5 cm) and low cost by upgrading an existing Aerosol RObotic NETwork (AERONET) ground station dedicated to the observation of aerosols in the atmosphere. This study...
Published in: | Remote Sensing |
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Main Authors: | , , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2021
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Subjects: | |
Online Access: | https://hal.science/hal-03318145 https://hal.science/hal-03318145/document https://hal.science/hal-03318145/file/carrer%20et%20al.,%20Remote%20Sens.,%202021.pdf https://doi.org/10.3390/rs13163072 |
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ftinsu:oai:HAL:hal-03318145v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
AERONET vegetation satellite Sentinel-2 validation photometer surface aerosol [SDE.IE]Environmental Sciences/Environmental Engineering |
spellingShingle |
AERONET vegetation satellite Sentinel-2 validation photometer surface aerosol [SDE.IE]Environmental Sciences/Environmental Engineering Carrer, Dominique Meurey, Catherine Hagolle, Olivier Bigeard, Guillaume Paci, Alexandre Donier, Jean-Marie Bergametti, Gilles Bergot, Thierry Calvet, Jean-Christophe Goloub, Philippe Victori, Stéphane Wang, Zhuosen Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties? |
topic_facet |
AERONET vegetation satellite Sentinel-2 validation photometer surface aerosol [SDE.IE]Environmental Sciences/Environmental Engineering |
description |
International audience This paper presents an innovative method for observing vegetation health at a very high spatial resolution (~5 × 5 cm) and low cost by upgrading an existing Aerosol RObotic NETwork (AERONET) ground station dedicated to the observation of aerosols in the atmosphere. This study evaluates the capability of a sun/sky photometer to perform additional surface reflectance observations. The ground station of Toulouse, France, which belongs to the AERONET sun/sky photometer network, is used for this feasibility study. The experiment was conducted for a 5-year period (between 2016 and 2020). The sun/sky photometer was mounted on a metallic structure at a height of 2.5 m, and the acquisition software was adapted to add a periodical (every hour) ground-observation scenario with the sun/sky photometer observing the surface instead of being inactive. Evaluation is performed by using a classical metric characterizing the vegetation health: the normalized difference vegetation index (NDVI), using as reference the satellite NDVI derived from a Sentinel-2 (S2) sensor at 10 × 10 m resolution. Comparison for the 5-year period showed good agreement between the S2 and sun/sky photometer NDVIs (i.e., bias = 0.004, RMSD = 0.082, and R = 0.882 for a mean value of S2A NDVI around 0.6). Discrepancies could have been due to spatial-representativeness issues (of the ground measurement compared to S2), the differences between spectral bands, and the quality of the atmospheric correction applied on S2 data (accuracy of the sun/sky photometer instrument was better than 0.1%). However, the accuracy of the atmospheric correction applied on S2 data in this station appeared to be of good quality, and no dependence on the presence of aerosols was observed. This first analysis of the potential of the CIMEL CE318 sun/sky photometer to monitor the surface is encouraging. Further analyses need to be carried out to estimate the potential in different AERONET stations. The occasional rerouting of AERONET stations could lead to a ... |
author2 |
Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) Centre d'études spatiales de la biosphère (CESBIO) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA (UMR_7583)) Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) Météo-France Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) Société Cimel Electronique NASA Goddard Space Flight Center (GSFC) University of Maryland College Park University of Maryland System |
format |
Article in Journal/Newspaper |
author |
Carrer, Dominique Meurey, Catherine Hagolle, Olivier Bigeard, Guillaume Paci, Alexandre Donier, Jean-Marie Bergametti, Gilles Bergot, Thierry Calvet, Jean-Christophe Goloub, Philippe Victori, Stéphane Wang, Zhuosen |
author_facet |
Carrer, Dominique Meurey, Catherine Hagolle, Olivier Bigeard, Guillaume Paci, Alexandre Donier, Jean-Marie Bergametti, Gilles Bergot, Thierry Calvet, Jean-Christophe Goloub, Philippe Victori, Stéphane Wang, Zhuosen |
author_sort |
Carrer, Dominique |
title |
Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties? |
title_short |
Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties? |
title_full |
Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties? |
title_fullStr |
Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties? |
title_full_unstemmed |
Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties? |
title_sort |
casual rerouting of aeronet sun/sky photometers: toward a new network of ground measurements dedicated to the monitoring of surface properties? |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.science/hal-03318145 https://hal.science/hal-03318145/document https://hal.science/hal-03318145/file/carrer%20et%20al.,%20Remote%20Sens.,%202021.pdf https://doi.org/10.3390/rs13163072 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 2072-4292 Remote Sensing https://hal.science/hal-03318145 Remote Sensing, 2021, 13 (16), pp.3072. ⟨10.3390/rs13163072⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13163072 hal-03318145 https://hal.science/hal-03318145 https://hal.science/hal-03318145/document https://hal.science/hal-03318145/file/carrer%20et%20al.,%20Remote%20Sens.,%202021.pdf doi:10.3390/rs13163072 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3390/rs13163072 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
16 |
container_start_page |
3072 |
_version_ |
1790605625441386496 |
spelling |
ftinsu:oai:HAL:hal-03318145v1 2024-02-11T09:54:48+01:00 Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties? Carrer, Dominique Meurey, Catherine Hagolle, Olivier Bigeard, Guillaume Paci, Alexandre Donier, Jean-Marie Bergametti, Gilles Bergot, Thierry Calvet, Jean-Christophe Goloub, Philippe Victori, Stéphane Wang, Zhuosen Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) Centre d'études spatiales de la biosphère (CESBIO) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA (UMR_7583)) Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) Météo-France Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS) Société Cimel Electronique NASA Goddard Space Flight Center (GSFC) University of Maryland College Park University of Maryland System 2021 https://hal.science/hal-03318145 https://hal.science/hal-03318145/document https://hal.science/hal-03318145/file/carrer%20et%20al.,%20Remote%20Sens.,%202021.pdf https://doi.org/10.3390/rs13163072 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13163072 hal-03318145 https://hal.science/hal-03318145 https://hal.science/hal-03318145/document https://hal.science/hal-03318145/file/carrer%20et%20al.,%20Remote%20Sens.,%202021.pdf doi:10.3390/rs13163072 info:eu-repo/semantics/OpenAccess ISSN: 2072-4292 Remote Sensing https://hal.science/hal-03318145 Remote Sensing, 2021, 13 (16), pp.3072. ⟨10.3390/rs13163072⟩ AERONET vegetation satellite Sentinel-2 validation photometer surface aerosol [SDE.IE]Environmental Sciences/Environmental Engineering info:eu-repo/semantics/article Journal articles 2021 ftinsu https://doi.org/10.3390/rs13163072 2024-01-24T17:31:19Z International audience This paper presents an innovative method for observing vegetation health at a very high spatial resolution (~5 × 5 cm) and low cost by upgrading an existing Aerosol RObotic NETwork (AERONET) ground station dedicated to the observation of aerosols in the atmosphere. This study evaluates the capability of a sun/sky photometer to perform additional surface reflectance observations. The ground station of Toulouse, France, which belongs to the AERONET sun/sky photometer network, is used for this feasibility study. The experiment was conducted for a 5-year period (between 2016 and 2020). The sun/sky photometer was mounted on a metallic structure at a height of 2.5 m, and the acquisition software was adapted to add a periodical (every hour) ground-observation scenario with the sun/sky photometer observing the surface instead of being inactive. Evaluation is performed by using a classical metric characterizing the vegetation health: the normalized difference vegetation index (NDVI), using as reference the satellite NDVI derived from a Sentinel-2 (S2) sensor at 10 × 10 m resolution. Comparison for the 5-year period showed good agreement between the S2 and sun/sky photometer NDVIs (i.e., bias = 0.004, RMSD = 0.082, and R = 0.882 for a mean value of S2A NDVI around 0.6). Discrepancies could have been due to spatial-representativeness issues (of the ground measurement compared to S2), the differences between spectral bands, and the quality of the atmospheric correction applied on S2 data (accuracy of the sun/sky photometer instrument was better than 0.1%). However, the accuracy of the atmospheric correction applied on S2 data in this station appeared to be of good quality, and no dependence on the presence of aerosols was observed. This first analysis of the potential of the CIMEL CE318 sun/sky photometer to monitor the surface is encouraging. Further analyses need to be carried out to estimate the potential in different AERONET stations. The occasional rerouting of AERONET stations could lead to a ... Article in Journal/Newspaper Aerosol Robotic Network Institut national des sciences de l'Univers: HAL-INSU Remote Sensing 13 16 3072 |