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Sentinel-2 Global Surface Reflectance Level-2a Product Generated with Sen2Cor

Jerome Louis, Bringfried Pflug, Magdalena Main-Knorn, Vincent Debaecker, Uwe Mueller-Wilm, Rosario Quirino Iannone, Enrico Giuseppe Cadau, Valentina Boccia, Ferran Gascon
2019 IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium  
Sen2Cor is a Level-2A processor designed to correct Sentinel-2 Level-1C products from the effects of the atmosphere in order to deliver a Level-2A surface reflectance product.  ...  It has since then been successfully integrated into Sentinel-2 ground segment (PDGS) with a global production over the World started in December 2018.  ...  From left to right: (1) Level-1C TOA reflectance input image, (2) Level-2A surface reflectance image, (3) Level-2A scene classification product. Visualization with EO Browser.  ... 
doi:10.1109/igarss.2019.8898540 dblp:conf/igarss/LouisPMDMICBG19 fatcat:5z7braebujashbb2ubfi5mpbny

Sen2Cor for Sentinel-2

Magdalena Main-Knorn, Bringfried Pflug, Jerome Louis, Vincent Debaecker, Uwe Müller-Wilm, Ferran Gascon, Lorenzo Bruzzone, Francesca Bovolo, Jon Atli Benediktsson
2017 Image and Signal Processing for Remote Sensing XXIII  
Sen2Cor is a Level-2A processor which main purpose is to correct single-date Sentinel-2 Level-1C Top-Of-Atmosphere (TOA) products from the effects of the atmosphere in order to deliver a Level-2A Bottom-Of-Atmosphere  ...  (BOA) reflectance product.  ...  Today, Level-2A products can be generated by users with the Sen2Cor processor available as a third-party plugin of the Sentinel-2 Toolbox [11].  ... 
doi:10.1117/12.2278218 fatcat:lusbqmshubdevnsfjn6kqvghrq

Next updates of atmospheric correction processor Sen2Cor

Bringfried Pflug, Jérôme Louis, Vincent Debaecker, Uwe Müller-Wilm, Carine Quang, Ferran Gascon, Valentina Boccia, Claudia Notarnicola, Fabio Bovenga, Lorenzo Bruzzone, Francesca Bovolo, Jon Atli Benediktsson (+2 others)
2020 Image and Signal Processing for Remote Sensing XXVI  
Sen2Cor is designed to process monotemporal single tile Level-1C products, providing Level-2A surface (Bottom-of-Atmosphere) reflectance product together with Aerosol Optical Thickness (AOT), Water Vapour  ...  The paper will give an overview of the Level-2A product content and up-to-date information about the data quality of the Level-2A products generated with Sen2Cor 2.8 in terms of Cloud Screening and Atmospheric  ...  ACKNOWLEDGMENTS The research was performed as part of the Copernicus Sentinel-2 Mission Performance Center activities which are managed by ESA.  ... 
doi:10.1117/12.2574035 fatcat:pvj6ncizaneepaogw7w3updoaa


M. Main-Knorn, B. Pflug, V. Debaecker, J. Louis
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
<br><br> 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.  ...  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.  ...  Sentinel THE LEVEL-2A PROCESSOR AND PRODUCTS Sen2Cor Processor and Products Sen2Cor is the processor for S-2 Level-2A product processing and formatting.  ... 
doi:10.5194/isprsarchives-xl-7-w3-1249-2015 fatcat:qsixov35rjb6hi5tkbrhbd6u3u

Evolutions of Sentinel-2 Level-2A Cloud Masking Algorithm Sen2Cor Prototype First Results

Jerome Louis, Bringfried Pflug, Vincent Debaecker, Uwe Mueller-Wilm, Rosario Quirino Iannone, Valentina Boccia, Ferran Gascon
2021 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS  
In addition to a Level-2A surface reflectance product, Sen2Cor provides a Scene Classification (SCL) map divided into 11 classes.  ...  In this work we present the recent evolutions of the Cloud Screening and Scene Classification module of Sen2Cor processor for the Copernicus Sentinel-2 mission.  ...  From top to bottom: (1) Level-1C TOA reflectance input image, (2) Level-2A surface reflectance image, (3) Level-2A scene classification product. 10):  Improvement of topography/casted shadows + acceleration  ... 
doi:10.1109/igarss47720.2021.9553445 fatcat:7cmbd5z43rhkhjlzfwa35idfc4


G. Berdou, S. Shrestha, M. Hahn
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Integration of Sentinel-2 and Landsat-8 imagery is a key factor to provide earth observation data at a global scale with higher temporal resolution.  ...  This study focuses on the analysis of the atmospheric correction methods available for both Landsat-8 and Sentinel-2 products to convert the top of the atmosphere to the bottom of atmosphere reflectance  ...  Sentinel-2 level 2 processing is applied to granules of TOA Level-1C ortho-image reflectance products.  ... 
doi:10.5194/isprs-archives-xlii-4-w18-205-2019 fatcat:kyg4udxjwfdmdi5wvneq5ptd5i


O. Hagolle, J. Colin, S. Coustance, P. Kettig, P. D'Angelo, S. Auer, G. Doxani, C. Desjardins
2021 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This article shortly describes the methods used to generate the Level-2A products with the MAJA processor, and the Level-3A products with theWASP processor.  ...  Theia's and EOC products include an instantaneous surface reflectance product (Level-2A), and a monthly cloud free synthesis of surface reflectance (Level-3A).  ...  The Level-2A product provides surface reflectance with a cloud mask (Drusch et al., 2012) .  ... 
doi:10.5194/isprs-annals-v-1-2021-9-2021 fatcat:ol7s6vwdtbew3bepma7xvqykam


R. F. B. Marujo, J. G. Fronza, A. R. Soares, G. R. Queiroz, K. R. Ferreira
2021 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
To achieve this, we tested the surface reflectance products from Landsat-8 processed through LaSRC and Sentinel-2 processed through LaSRC and Sen2cor comparing to a reference dataset computed by ARCSI  ...  studies, while for Sentinel-2/MSI images, Sen2cor performed best.  ...  Moreover, Sentinel-2A/2B surface reflectance best results, regarding LaSRC and Sen2cor, were obtained using Sen2cor.  ... 
doi:10.5194/isprs-annals-v-3-2021-271-2021 fatcat:l6lmsxizv5brjnad2oic7jaoua

Fusing Retrievals of High Resolution Aerosol Optical Depth from Landsat-8 and Sentinel-2 Observations over Urban Areas

Hao Lin, Siwei Li, Jia Xing, Jie Yang, Qingxin Wang, Lechao Dong, Xiaoyue Zeng
2021 Remote Sensing  
Compared with the operational AOD products processed by the Landsat-8 Surface Reflectance Code (LaSRC-AOD), Sentinel Radiative Transfer Atmospheric Correction code (SEN2COR-AOD), and MODIS Collection 6  ...  AOD (MOD04) products, the AOD retrieved from the new fusing algorithm based on the Landsat-8 and Sentinel-2 A/B observations exhibits an overall higher accuracy and better performance in spatial continuity  ...  The Sentinel-2 L2A cloud mask product generated by the SEN2COR is not particularly reliable [48] .  ... 
doi:10.3390/rs13204140 fatcat:ytwkecempzde3ijlb52icetxfm

High-resolution urban air quality monitoring using sentinel satellite images and low-cost ground-based sensor networks

Joseph Gitahi, Michael Hahn, K. Jóźwiakowski, T. Ciesielczuk
2020 E3S Web of Conferences  
Satellite remote sensing aerosol monitoring products are readily available but limited to regional and global scales due to low spatial resolutions making them unsuitable for city-level monitoring.  ...  Sen2Cor, iCOR and MAJA retrieved AOD at 550nm show strong consistency with AERONET measurements with average correlation coefficients of 0.91, 0.89 and 0.73 respectively.  ...  AOD Retrieval Algorithms Sen2Cor ESA's Copernicus programme provides Sentinel -2 images either as TOA Level-1C or BOA Level-2A products.  ... 
doi:10.1051/e3sconf/202017102002 fatcat:vq2ohmj3lnb2dftle5nbwxx3pa

The Petawawa Research Forest: Establishment of a remote sensing supersite

Joanne C. White, Hao Chen, Murray E. Woods, Brian Low, Sasha Nasonova
2019 Forestry Chronicle  
Benchmarking sites, with the requisite refer-ence and baseline data for evaluating the capacities of new technologies, algorithms, and approaches, can be extremely valu-able for sparking innovation, as  ...  We identify issues and present opportunities associated with the establishment of a remote sensingsupersite at the PRF, as well as share some of the lessons learned to foster the establishment and open  ...  Level-2A Prototype Processor, which is labelled Sen2Cor for Sentinel 2 (atmospheric) Correction.  ... 
doi:10.5558/tfc2019-024 fatcat:tbmub76nijgkrmfgbaxvdg3kri

Sentinel-2 Image Scene Classification: A Comparison between Sen2Cor and a Machine Learning Approach

Kashyap Raiyani, Teresa Gonçalves, Luís Rato, Pedro Salgueiro, José R. Marques da Silva
2021 Remote Sensing  
Focusing on the problem of optical satellite image scene classification, the main research contributions of this paper are: (a) an extended manually labeled Sentinel-2 database adding surface reflectance  ...  This paper adopts the inductive approach to learning from surface reflectances.  ...  Sen2Cor is an algorithm whose pivotal purpose is to correct single-date Sentinel-2 Level-1C products from the effects of the atmosphere and deliver a Level-2A surface reflectance product.  ... 
doi:10.3390/rs13020300 fatcat:qmdtmqzeiverlbsuyrad5g6mtm

Copernicus Sentinel-2A Calibration and Products Validation Status

Ferran Gascon, Catherine Bouzinac, Olivier Thépaut, Mathieu Jung, Benjamin Francesconi, Jérôme Louis, Vincent Lonjou, Bruno Lafrance, Stéphane Massera, Angélique Gaudel-Vacaresse, Florie Languille, Bahjat Alhammoud (+11 others)
2017 Remote Sensing  
Measured performances, derived from the validation activities, have been estimated for both Top-Of-Atmosphere (TOA) and Bottom-Of-Atmosphere (BOA) products (referred respectively as Level-1 and Level-2A  ...  Sentinel-2A launch took place in June 2015 and Sentinel-2B is foreseen beginning 2017. Therefore, this paper focuses only on the performances achieved by Sentinel-2A.  ...  Level-2A Products Description L2A surface reflectance products are generated with Sen2Cor processor whose main purpose is to correct single-date Sentinel-2 L1C products from the effects of the atmosphere  ... 
doi:10.3390/rs9060584 fatcat:fglsduu6g5bjpd6nmxpspa2hfy

Comparison of Cloud Cover Detection Algorithms on Sentinel–2 Images of the Amazon Tropical Forest

Alber Hamersson Sanchez, Michelle Cristina A. Picoli, Gilberto Camara, Pedro R. Andrade, Michel Eustaquio D. Chaves, Sarah Lechler, Anderson R. Soares, Rennan F. B. Marujo, Rolf Ezequiel O. Simões, Karine R. Ferreira, Gilberto R. Queiroz
2020 Remote Sensing  
To achieve this, we tested four cloud detection algorithms on Sentinel2 images spread in five areas of the Amazonia.  ...  For this reason, our purpose is to identify the cloud detection algorithm best suited for the Amazon rainforest on Sentinel2 images.  ...  It takes Level-1C images and adjusts for atmospheric effects, generating Level-2A surface reflectance products [22, 39] .  ... 
doi:10.3390/rs12081284 fatcat:w7yzqq4srvhnvby7bk3k4rue5e

Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure

Louis Baetens, Camille Desjardins, Olivier Hagolle
2019 Remote Sensing  
The Level 2A product is a basic product requested by many Sentinel-2 users: it provides surface reflectance after atmospheric correction, with a cloud and cloud shadow mask.  ...  These masks were used to validate the cloud and shadow masks produced by three Sentinel-2 Level 2A processors: MAJA, used by the French Space Agency (CNES) to deliver Level 2A products, Sen2Cor, used by  ...  Acknowledgments: We would like to thank the teams behind the FMask and Sen2Cor codes for making these codes freely available and for providing support for installation.  ... 
doi:10.3390/rs11040433 fatcat:ge4r7jmlcveinm2z5rweuhn7wy
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