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Evolutions of Sentinel-2 Level-2A Cloud Masking Algorithm Sen2Cor Prototype First Results
2021
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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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. ...
Preliminary results based on a Sen2Cor prototype are discussed. ...
ESA has been using Sen2Cor [2] for the systematic production of Sentinel-2 Level-2A data over the World since December 2018 (over Europe since June 2017). ...
doi:10.1109/igarss47720.2021.9553445
fatcat:7cmbd5z43rhkhjlzfwa35idfc4
Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples
2016
Remote Sensing
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The ground campaign and the integration of algorithms for value-added products has been performed within the context of the H2020 FATIMA project (grant agreement No 633945). ...
We also acknowledge the support from the ERASMUS+ programme for Claudia Pipitone and Luca Zappa, visitors at BOKU from the University of Palermo and from the University of Milano, respectively. ...
Our data service platform processes the Sentinel-2 Level-1C images into Level-2A data using the ESA's Sen2Cor algorithm [17] . ...
doi:10.3390/rs8110938
fatcat:z4gxwu4kabg73g3xsm3lirctsy
Copernicus Sentinel-2A Calibration and Products Validation Status
2017
Remote Sensing
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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 ...
The two satellite units will work on opposite sides of the orbit. Sentinel-2A launch took place in June 2015 and Sentinel-2B is foreseen beginning 2017. ...
Validation of BOA Reflectance Products The objective of this investigation is to estimate the uncertainty of BOA SR product resulting from processing Sentinel-2 data using Level-2A processor Sen2Cor. ...
doi:10.3390/rs9060584
fatcat:fglsduu6g5bjpd6nmxpspa2hfy
IMPROVEMENT OF EXISTING AND DEVELOPMENT OF FUTURE COPERNICUS LAND MONITORING PRODUCTS – THE ECOLASS PROJECT
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Temporal analysis, based on optical (Sentinel-2) and SAR (Sentinel-1) satellite data, makes use of temporal feature descriptors (multiple temporal statistical metrics) derived from spectral bands and indices ...
</strong> The Horizon 2020 project ECoLaSS (Evolution of Copernicus Land Services based on Sentinel data) contributes to improving existing and developing next-generation Copernicus Land Monitoring Service ...
ACKNOWLEDGEMENTS The research leading to these results has received funding from the European Union's Horizon 2020 Research and Innovation Programme, under Grant Agreement no 73000. ...
doi:10.5194/isprs-archives-xlii-2-w16-201-2019
fatcat:hlmuvnnrazcspownlj6o4s6hwe
Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index
2017
Remote Sensing
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The possibility to exploit seasonally-updated crop mask exploiting Sentinel-1A data and the temporal consistency between Sentinel-2A and Landsat-7/8 LAI time series demonstrates the feasibility of deriving ...
This paper presents and evaluates multitemporal LAI estimates derived from Sentinel-2A data on rice cultivated area identified using time series of Sentinel-1A images over the main European rice districts ...
Acknowledgments: The research leading to these results was conducted within the ERMES FP7 project ...
doi:10.3390/rs9030248
fatcat:2v6g3wfey5dhveeuuc7wv67dxy
GERMANYS FIRST CLOUD-BASED WEB SERVICE FOR LAND MONITORING USING COPERNICUS SENTINEL-2 DATA
2021
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Using an improved cloud mask algorithm, Sentinel-2 tiles with up to maximum cloud coverage of 60% can be used for analysis. ...
As input data the service uses pre-processed Sentinel-2 data from the European Copernicus satellite program, as well as an image segmentation approach to extract change objects. ...
Level-2A can also be generated by the user from the Level-1C product using the Sentinel-2 toolbox or a standalone version of the Sen2Cor processor. ...
doi:10.5194/isprs-annals-v-3-2021-133-2021
fatcat:vtk7ro6anzbyjfo4k7sw6dbnji
COPERNICUS SENTINEL-2 DATA FOR THE DETERMINATION OF GROUNDWATER WITHDRAWAL IN THE MAGHREB REGION
2018
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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This paper presents an approach for estimating and monitoring crop water requirements in Tunisia based on multitemporal Sentinel-2 data. ...
The results of the water estimates are validated against delimited areas where estimates of the water consumption are available from the authorities. ...
ACKNOWLEDGMENTS The authors would like to thank the National Agricultural Institute of Tunisia (INAT) department of agronomy and plant biotechnologies for the collection of the ground truth data. ...
doi:10.5194/isprs-annals-iv-1-37-2018
fatcat:rilbpzuv7fe65kaus5n7b2k5re
Guidelines on EO ICT support improvement to stakeholders v2
2020
Zenodo
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and provide implementation scenario guidelines for services in the agriculture domain on how to utilize the DIAS service infrastructure to achieve advancement in the service availability and support of ...
), as well as Sentinel-2 atmospherically corrected products (CARD-2A), using standard software solutions (S1 Toolbox, SEN2COR -see section 5.2) Store all CARD products generated on the backend in the ...
ML algorithms applied to Sentinel L2 vs. ...
doi:10.5281/zenodo.4249914
fatcat:4ju6nl6apvdpla6bx7iy46et5q
Guidelines on EO ICT support improvement to stakeholders v1
2019
Zenodo
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and provide implementation scenario guidelines for services in the agriculture domain on how to utilize the DIAS service infrastructure to achieve advancement in the service availability and support of ...
), as well as Sentinel-2 atmospherically corrected products (CARD-2A), using standard software solutions (S1 Toolbox, SEN2COR -see section 5.2) Store all CARD products generated on the backend in the ...
______________ 35 List of Figures Figure 1 : Results of EO4AGRI CAP requirments survey of Paying Agencies (extract -see [7] ) _______________ 16 Figure 2 Question on AMS algorithms -EO4AGRI CAP requirments ...
doi:10.5281/zenodo.4248940
fatcat:bxbei6rq6vbwbj6fa6og4kweci
Assessing Land Cover and Ecological Quality Changes under the New-Type Urbanization from Multi-Source Remote Sensing
2021
Sustainability
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We first established a LC database using an object-oriented classification of multi-source high-resolution satellite images. ...
The results showed that the overall accuracy of the LC maps was 90.75% in 2009, 91.75% in 2015, and 92.04% in 2019. ...
The Sentinel-2A top of atmosphere reflectance product obtained from the European Space Agency (ESA) was atmospherically corrected using the Sen2cor plug-in to derive land surface reflectance data [41] ...
doi:10.3390/su132111979
fatcat:h7z57f3zmzbajlve6o63pisgz4
FOSS4G 2016 Proceedings: Academic Program - selected papers and posters
2016
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Acknowledgements The development of the Earth Observation Monitor has been funded by Friedrich Schiller University, Jena, and by EU FP7 EuRuCAS project (No. 295068). ...
With Sentinel-1A started in 2014 followed by Sentinel-2A, Sentinel-1B and Sentinel-3A, important sensor types including Radar, visible light, infrared, and thermal channels are operationally generated ...
The user is able to automatically derive thematic data layers based on algorithms provided in the portal after having selected the desired Sentinel-2A scene out of over 32,000 scenes on a world map by ...
doi:10.7275/r5kp80b7
fatcat:byr5d2bdk5bptl7xhszeugobsq