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Sentinel-2 surface reflectance products generated by CNES and DLR: methods, validation and applications

Hagolle, Olivier and Colin, Jerôme and Coustance, Sophie and Kettig, Peter and d'Angelo, Pablo and Auer, Stefan and Doxani, Geogia and Desjardins, Camille (2021) Sentinel-2 surface reflectance products generated by CNES and DLR: methods, validation and applications. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 9-15. Copernicus Publications. 24th ISPRS Congress, 05.-09. Juli 2021, Nice, France. doi: 10.5194/isprs-annals-V-1-2021-9-2021.

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To allow for a robust and automatic exploitation of Sentinel-2 data, Analysis Ready Data (ARD) products are requested by most users. The processors of ARD products take care of the common burdens necessary for most applications, that include precise orthorectification, cloud detection and atmospheric correction steps, as well as the generation of periodic syntheses of cloud free surface reflectances. The French Theia land data center, and the German Earth Observation Center (EOC) started delivering Sentinel-2 surface reflectance products to users in 2016 in France and 2019 in Germany respectively. Both centers produce and distribute these data sets in near real time, over large regions requested by French users such as Western Europe, Maghreb, Sahel, Madagascar ... Theia’s and EOC products include an instantaneous surface reflectance product (Level-2A), and a monthly cloud free synthesis of surface reflectance (Level-3A). This article shortly describes the methods used to generate the Level-2A products with the MAJA processor, and the Level-3A products with the WASP processor. The MAJA processor is based on multi-temporal methods, that use the slow variation of surface reflectance to detect clouds and estimate aerosol depth, while WASP, thanks to the quality of MAJA cloud mask, calculates a weighted average of all the cloud free observations over 45 days, every month. The article also provides validation results for Level-2A and Level-3A products, resulting from comparison with in-situ data and with other methods. A last section gives first insights from the monitoring of user uptake of the distributed products.

Item URL in elib:https://elib.dlr.de/134558/
Document Type:Conference or Workshop Item (Speech)
Title:Sentinel-2 surface reflectance products generated by CNES and DLR: methods, validation and applications
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
d'Angelo, Pablopablo.angelo (at) dlr.dehttps://orcid.org/0000-0001-8541-3856
Auer, StefanStefan.Auer (at) dlr.dehttps://orcid.org/0000-0001-9310-2337
Desjardins, CamilleCNESUNSPECIFIED
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.5194/isprs-annals-V-1-2021-9-2021
Page Range:pp. 9-15
Publisher:Copernicus Publications
Keywords:Sentinel-2, surface reflectance, cloud detection, atmospheric correction, monthly cloud free composites, THEIA, MAJA, WASP
Event Title:24th ISPRS Congress
Event Location:Nice, France
Event Type:international Conference
Event Dates:05.-09. Juli 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Auer, Dr. Stefan
Deposited On:17 Apr 2020 10:17
Last Modified:18 Oct 2021 10:32

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