Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties?
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 capabilit...
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MDPI AG
2021
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Online Access: | https://doi.org/10.3390/rs13163072 https://doaj.org/article/8ddb04b8c4d94000be2662cad1873b04 |
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ftdoajarticles:oai:doaj.org/article:8ddb04b8c4d94000be2662cad1873b04 2023-05-15T13:07:10+02:00 Casual Rerouting of AERONET Sun/Sky Photometers: Toward a New Network of Ground Measurements Dedicated to the Monitoring of Surface Properties? Dominique Carrer Catherine Meurey Olivier Hagolle Guillaume Bigeard Alexandre Paci Jean-Marie Donier Gilles Bergametti Thierry Bergot Jean-Christophe Calvet Philippe Goloub Stéphane Victori Zhuosen Wang 2021-08-01T00:00:00Z https://doi.org/10.3390/rs13163072 https://doaj.org/article/8ddb04b8c4d94000be2662cad1873b04 EN eng MDPI AG https://www.mdpi.com/2072-4292/13/16/3072 https://doaj.org/toc/2072-4292 doi:10.3390/rs13163072 2072-4292 https://doaj.org/article/8ddb04b8c4d94000be2662cad1873b04 Remote Sensing, Vol 13, Iss 3072, p 3072 (2021) AERONET vegetation satellite Sentinel-2 validation photometer Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13163072 2022-12-30T20:20:11Z 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 complementary network of ... Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Remote Sensing 13 16 3072 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
AERONET vegetation satellite Sentinel-2 validation photometer Science Q |
spellingShingle |
AERONET vegetation satellite Sentinel-2 validation photometer Science Q Dominique Carrer Catherine Meurey Olivier Hagolle Guillaume Bigeard Alexandre Paci Jean-Marie Donier Gilles Bergametti Thierry Bergot Jean-Christophe Calvet Philippe Goloub Stéphane Victori Zhuosen Wang 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 Science Q |
description |
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 complementary network of ... |
format |
Article in Journal/Newspaper |
author |
Dominique Carrer Catherine Meurey Olivier Hagolle Guillaume Bigeard Alexandre Paci Jean-Marie Donier Gilles Bergametti Thierry Bergot Jean-Christophe Calvet Philippe Goloub Stéphane Victori Zhuosen Wang |
author_facet |
Dominique Carrer Catherine Meurey Olivier Hagolle Guillaume Bigeard Alexandre Paci Jean-Marie Donier Gilles Bergametti Thierry Bergot Jean-Christophe Calvet Philippe Goloub Stéphane Victori Zhuosen Wang |
author_sort |
Dominique Carrer |
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 |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13163072 https://doaj.org/article/8ddb04b8c4d94000be2662cad1873b04 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Remote Sensing, Vol 13, Iss 3072, p 3072 (2021) |
op_relation |
https://www.mdpi.com/2072-4292/13/16/3072 https://doaj.org/toc/2072-4292 doi:10.3390/rs13163072 2072-4292 https://doaj.org/article/8ddb04b8c4d94000be2662cad1873b04 |
op_doi |
https://doi.org/10.3390/rs13163072 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
16 |
container_start_page |
3072 |
_version_ |
1766038553534398464 |