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Calibration and Validation plan for the L2A processor and products of the Sentinel-2 mission

Main-Knorn, Magdalena and Pflug, Bringfried and Louis, J. and Debaecker, V. (2015) Calibration and Validation plan for the L2A processor and products of the Sentinel-2 mission. In: Proceedings of International Symposium on Remote Sensing of Environment (ISRSE) 2015, XL-7 (W3), pp. 1249-1255. Copernicus Publications. 36th International Symposium on Remote Sensing of Environment (ISRSE), 11.-15. Mai 2015, Berlin, Germany. DOI: 10.5194/isprsarchives-XL-7-W3-1249-2015

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/1249/2015/


The Copernicus programme, is a European initiative for the implementation of information services based on observation data received from Earth Observation (EO) satellites and ground based information. In the frame of this programme, ESA is developing the Sentinel-2 optical imaging mission that will deliver optical data products designed to feed downstream services mainly related to land monitoring, emergency management and security. To ensure the highest quality of service, ESA sets up the Sentinel-2 Mission Performance Centre (MPC) in charge of the overall performance monitoring of the Sentinel-2 mission. TPZ F and DLR have teamed up in order to provide the best added-value support to the MPC for calibration and validation of the Level-2A processor (Sen2Cor) and products. This paper gives an overview over the planned L2A calibration and validation activities. Level-2A processing is applied to Top-Of-Atmosphere (TOA) Level-1C ortho-image reflectance products. Level-2A main output is the Bottom-Of-Atmosphere (BOA) corrected reflectance product. Additional outputs are an Aerosol Optical Thickness (AOT) map, a Water Vapour (WV) map and a Scene Classification (SC) map with Quality Indicators for cloud and snow probabilities. Level-2A BOA, AOT and WV outputs are calibrated and validated using ground-based data of automatic operating stations and data of in-situ campaigns. Scene classification is validated by the visual inspection of test datasets and cross-sensor comparison, supplemented by meteorological data, if available. Contributions of external in-situ campaigns would enlarge the reference dataset and enable extended validation exercise. Therefore, we are highly interested in and welcome external contributors.

Item URL in elib:https://elib.dlr.de/95871/
Document Type:Conference or Workshop Item (Poster)
Additional Information:© Author(s) 2015. This work is distributed under the Creative Commons Attribution 3.0 License.
Title:Calibration and Validation plan for the L2A processor and products of the Sentinel-2 mission
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Main-Knorn, Magdalenamagdalena.main-knorn (at) dlr.deUNSPECIFIED
Pflug, Bringfriedbringfried.pflug (at) dlr.deUNSPECIFIED
Louis, J.Telespazio France, Toulouse, FranceUNSPECIFIED
Debaecker, V.Telespazio France, Toulouse, FranceUNSPECIFIED
Date:May 2015
Journal or Publication Title:Proceedings of International Symposium on Remote Sensing of Environment (ISRSE) 2015
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.5194/isprsarchives-XL-7-W3-1249-2015
Page Range:pp. 1249-1255
Staudenrausch, H.UNSPECIFIED
Publisher:Copernicus Publications
Series Name:ISPRS Archive
Keywords:Sentinel-2, Sen2Cor, Atmospheric correction, processor calibration and validation, ground based and in-situ measurements
Event Title:36th International Symposium on Remote Sensing of Environment (ISRSE)
Event Location:Berlin, Germany
Event Type:international Conference
Event Dates:11.-15. Mai 2015
Organizer:International Society for Photogrammetry and Remote Sensing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Berlin-Adlershof
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited On:17 Apr 2015 10:07
Last Modified:31 Jul 2019 19:52

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