The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Sen2Cor for Sentinel-2
Abstract
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. The Sentinel-2 mission is the constellation of two polar orbiting satellites Sentinel-2A and Sentinel-2B, each one equipped with an optical imaging sensor MSI (Multi-Spectral Instrument). Sentinel-2A was launched on June 23rd, 2015 and Sentinel-2B followed on March 7th, 2017. With the beginning of the operational phase the constellation of both satellites enable image acquisition over the same area every 5 days or less. To use unique potential of the Sentinel-2 data for land applications and ensure the highest quality of scientific exploitation, accurate correction of satellite images for atmospheric effects is required. Therefore the atmospheric correction processor Sen2Cor was developed by Telespazio VEGA Deutschland GmbH on behalf of ESA. 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. Additional outputs are an Aerosol Optical Thickness (AOT) map, a Water Vapour (WV) map and a Scene Classification (SCL) map with Quality Indicators for cloud and snow probabilities. Telespazio France and DLR have teamed up in order to provide the calibration and validation of the Sen2Cor processor. Here we provide an overview over the Sentinel-2 data, processor and products. It presents some processing examples of Sen2Cor applied to Sentinel-2 data, provides up-to-date information about the Sen2Cor release status and recent validation results at the time of the SPIE Remote Sensing 2017.
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AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization
Holben, B. N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., et al. (1998) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00031-5 · Cited by 7,743
Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C., Laberinti, P., Martimort, P., et al. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.11.026 · Cited by 4,815
Self-citationMayer, B., & Kylling, A. (2005) · Atmospheric Chemistry and Physics · doi:10.5194/acp-5-1855-2005 · Cited by 1,556
Copernicus Sentinel-2A Calibration and Products Validation Status
Gascon, F., Bouzinac, C., Thépaut, O., Jung, M., Francesconi, B., Louis, J., Lonjou, V., Lafrance, B., Massera, S., Gaudel-Vacaresse, A., et al. (2017) · Remote Sensing · doi:10.3390/rs9060584 · Cited by 581
Self-citationESA's sentinel missions in support of Earth system science
Berger, M., Moreno, J., Johannessen, J. A., Levelt, P. F., & Hanssen, R. F. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.07.023 · Cited by 392
Ingmann, P., Veihelmann, B., Langen, J., Lamarre, D., Stark, H., & Courrèges-Lacoste, G. B. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.01.023 · Cited by 285
An evaluation of satellite aerosol products against sunphotometer measurements
Bréon, F., Vermeulen, A., & Descloitres, J. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.06.017 · Cited by 144
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Dynamic world, near real-time global 10 m land use land cover mapping
Brown, C. F., Brumby, S. P., Guzder-Williams, B., Birch, T., Hyde, S. B., Mazzariello, J., Czerwinski, W., Pasquarella, V. J., Haertel, R., Ilyushchenko, S., et al. (2022) · Scientific Data · doi:10.1038/s41597-022-01307-4 · Cited by 1,154
Sykas, D., Sdraka, M., Zografakis, D., & Papoutsis, I. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3164771 · Cited by 59
Hasan, M. E., Zhang, L., Dewan, A., Guo, H., & Mahmood, R. (2021) · Land Degradation & Development · doi:10.1002/ldr.3821 · Cited by 56
Metadata
- Authors
- Main-Knorn, M., Pflug, B., Louis, J., Debaecker, V., Müller-Wilm, U., & Gascon, F.
- Venue
- Image and Signal Processing for Remote Sensing XXIII
- Publisher
- SPIE
- Published
- 2017-10-04
- Pages
- 3
- OpenAlex
- W2597944323
- Cited by
- 622
- References
- 7
- FWCI
- 36.87
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Main-Knorn, M., Pflug, B., Louis, J., Debaecker, V., Müller-Wilm, U., & Gascon, F. (2017). Sen2Cor for Sentinel-2. Image and Signal Processing for Remote Sensing XXIII. https://doi.org/10.1117/12.2278218
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