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

open access: yesRemote Sensing, 2021
Given the continuous increase in the global population, the food manufacturers are advocated to either intensify the use of cropland or expand the farmland, making land cover and land usage dynamics mapping vital in the area of remote sensing.
Pedro Salgueiro   +2 more
exaly   +5 more sources

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

open access: yesRemote Sensing, 2019
The Sentinel-2 satellite mission, developed by the European Space Agency (ESA) for the Copernicus program of the European Union, provides repetitive multi-spectral observations of all Earth land surfaces at a high resolution.
Olivier Hagolle   +2 more
exaly   +6 more sources

EVALUATING THE IMPACT OF LASRC AND SEN2COR ATMOSPHERIC CORRECTION ALGORITHMS ON LANDSAT-8/OLI AND SENTINEL-2/MSI DATA OVER AERONET STATIONS IN BRAZILIAN TERRITORY [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
Accurate and consistent Surface Reflectance estimation from optical remote sensor observations is directly dependant on the used atmospheric correction processor and the differences caused by it may have implications on further processes, e.g ...
Karine Ferreira
exaly   +2 more sources

Consistency of Suspended Particulate Matter Concentration in Turbid Water Retrieved from Sentinel-2 MSI and Landsat-8 OLI Sensors [PDF]

open access: yesSensors, 2021
Research on the consistency of suspended particulate matter (SPM) concentration retrieved from multisource satellite sensors can serve as long-time monitoring of water quality. To explore the influence of the atmospheric correction (AC) algorithm and the
Hanghang Wang   +3 more
doaj   +2 more sources

Sen2Cor for Sentinel-2 [PDF]

open access: yesImage and Signal Processing for Remote Sensing XXIII, 2017
In the frame of the Copernicus programme, ESA has developed and launched the Sentinel-2 optical imaging mission that delivers optical data products designed to feed downstream services mainly related to land monitoring, emergency management and security.
Jérôme Louis   +2 more
exaly   +3 more sources

Next updates of atmospheric correction processor Sen2Cor [PDF]

open access: yesImage and Signal Processing for Remote Sensing XXVI, 2020
The Sentinel-2 mission is dedicated to land monitoring, emergency management and security. It serves for monitoring of land-cover change and biophysical variables related to agriculture and forestry. The mission is also used to monitor coastal and inland waters and is useful for risk and disaster mapping. The Sentinel-2 mission is fully operating since
Jérôme Louis   +2 more
exaly   +3 more sources

Ice Detection with Sentinel-1 SAR Backscatter Threshold in Long Sections of Temperate Climate Rivers

open access: yesRemote Sensing, 2022
Climate change leads to more variable meteorological conditions. In many Northern Hemisphere temperate regions, cold seasons have become more variable and unpredictable, necessitating frequent river ice observations over long sections of rivers ...
Edvinas Stonevičius, Dalia Grendaite
exaly   +3 more sources

EVALUATION OF SEN2COR SURFACE REFLECTANCE PRODUCTS OVER LAND SURFACE WITH REFERENCE MEASUREMENTS ON GROUND [PDF]

open access: yesIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022
Sen2Cor is the atmospheric correction processor selected by ESA for operational, systematic processing of Copernicus Sentinel-2 mission data. It is used for generating the Level 2A products distributed to users by the Copernicus SciHub. Accurate atmospheric correction of Sentinel-2 data and knowledge of its uncertainties are preconditions for high ...
Jérôme Louis, Bringfried Pflug
exaly   +3 more sources

Comparison of Masking Algorithms for Sentinel-2 Imagery

open access: yesRemote Sensing, 2021
Masking of clouds, cloud shadow, water and snow/ice in optical satellite imagery is an important step in automated processing chains. We compare the performance of the masking provided by Fmask (“Function of mask” implemented in FORCE), ATCOR ...
Jérôme Louis   +2 more
exaly   +3 more sources

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

open access: yes2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Reliable cloud screening remains a critical issue for the analysis of optical imagery. 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. In addition to a Level-2A surface reflectance product, Sen2Cor provides a Scene Classification (SCL) map ...
Jérôme Louis   +2 more
exaly   +2 more sources

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