Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020–2030
An optimal payload selection conducted in the frame of the H2020 ONION project (id 687490) is presented based on the ability to cover the observation needs of the Copernicus system in the time period 2020–2030. Payload selection is constrained by the variables that can be measured, the power consump...
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ftdoajarticles:oai:doaj.org/article:086920428399498a8689affdcc8825e1 2023-05-15T18:18:30+02:00 Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020–2030 Estefany Lancheros Adriano Camps Hyuk Park Pedro Rodriguez Stefania Tonetti Judith Cote Stephane Pierotti 2019-01-01T00:00:00Z https://doi.org/10.3390/rs11020175 https://doaj.org/article/086920428399498a8689affdcc8825e1 EN eng MDPI AG http://www.mdpi.com/2072-4292/11/2/175 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11020175 https://doaj.org/article/086920428399498a8689affdcc8825e1 Remote Sensing, Vol 11, Iss 2, p 175 (2019) Earth observation satellite sensors platform radiometer SAR GNSS-R VIS/NIR imager polar weather ice marine Science Q article 2019 ftdoajarticles https://doi.org/10.3390/rs11020175 2022-12-30T20:19:48Z An optimal payload selection conducted in the frame of the H2020 ONION project (id 687490) is presented based on the ability to cover the observation needs of the Copernicus system in the time period 2020–2030. Payload selection is constrained by the variables that can be measured, the power consumption, and weight of the instrument, and the required accuracy and spatial resolution (horizontal or vertical). It involved 20 measurements with observation gaps according to the user requirements that were detected in the top 10 use cases in the scope of Copernicus space infrastructure, 9 potential applied technologies, and 39 available commercial platforms. Additional Earth Observation (EO) infrastructures are proposed to reduce measurements gaps, based on a weighting system that assigned high relevance for measurements associated to Marine for Weather Forecast over Polar Regions. This study concludes with a rank and mapping of the potential technologies and the suitable commercial platforms to cover most of the requirements of the top ten use cases, analyzing the Marine for Weather Forecast, Sea Ice Monitoring, Fishing Pressure, and Agriculture and Forestry: Hydric stress as the priority use cases. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Remote Sensing 11 2 175 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Earth observation satellite sensors platform radiometer SAR GNSS-R VIS/NIR imager polar weather ice marine Science Q |
spellingShingle |
Earth observation satellite sensors platform radiometer SAR GNSS-R VIS/NIR imager polar weather ice marine Science Q Estefany Lancheros Adriano Camps Hyuk Park Pedro Rodriguez Stefania Tonetti Judith Cote Stephane Pierotti Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020–2030 |
topic_facet |
Earth observation satellite sensors platform radiometer SAR GNSS-R VIS/NIR imager polar weather ice marine Science Q |
description |
An optimal payload selection conducted in the frame of the H2020 ONION project (id 687490) is presented based on the ability to cover the observation needs of the Copernicus system in the time period 2020–2030. Payload selection is constrained by the variables that can be measured, the power consumption, and weight of the instrument, and the required accuracy and spatial resolution (horizontal or vertical). It involved 20 measurements with observation gaps according to the user requirements that were detected in the top 10 use cases in the scope of Copernicus space infrastructure, 9 potential applied technologies, and 39 available commercial platforms. Additional Earth Observation (EO) infrastructures are proposed to reduce measurements gaps, based on a weighting system that assigned high relevance for measurements associated to Marine for Weather Forecast over Polar Regions. This study concludes with a rank and mapping of the potential technologies and the suitable commercial platforms to cover most of the requirements of the top ten use cases, analyzing the Marine for Weather Forecast, Sea Ice Monitoring, Fishing Pressure, and Agriculture and Forestry: Hydric stress as the priority use cases. |
format |
Article in Journal/Newspaper |
author |
Estefany Lancheros Adriano Camps Hyuk Park Pedro Rodriguez Stefania Tonetti Judith Cote Stephane Pierotti |
author_facet |
Estefany Lancheros Adriano Camps Hyuk Park Pedro Rodriguez Stefania Tonetti Judith Cote Stephane Pierotti |
author_sort |
Estefany Lancheros |
title |
Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020–2030 |
title_short |
Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020–2030 |
title_full |
Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020–2030 |
title_fullStr |
Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020–2030 |
title_full_unstemmed |
Selection of the Key Earth Observation Sensors and Platforms Focusing on Applications for Polar Regions in the Scope of Copernicus System 2020–2030 |
title_sort |
selection of the key earth observation sensors and platforms focusing on applications for polar regions in the scope of copernicus system 2020–2030 |
publisher |
MDPI AG |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11020175 https://doaj.org/article/086920428399498a8689affdcc8825e1 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Remote Sensing, Vol 11, Iss 2, p 175 (2019) |
op_relation |
http://www.mdpi.com/2072-4292/11/2/175 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11020175 https://doaj.org/article/086920428399498a8689affdcc8825e1 |
op_doi |
https://doi.org/10.3390/rs11020175 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
2 |
container_start_page |
175 |
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1766195096037883904 |