Dr. Ferran Gascon Profile

Dr. Ferran Gascon

at ESRIN

SPIE Involvement:

Author

Publications (18)

Proceedings Article | 19 October 2023 Presentation + Paper

Presentation + Paper

The copernicus hyperspectral imaging mission for the environment (CHIME): an overview of its mission, system and planning status

Jens Nieke, Laurent Despoisse, Antonio Gabriele, Heidrun Weber, Helene Strese, Nafiseh Ghasemi, Ferran Gascon, Kevin Alonso, Valentina Boccia, Bogdana Tsonevska, Pierre Choukroun, Giuseppe Ottavianelli, Marco Celesti

Proceedings Volume 12729, 1272909 (2023) https://doi.org/10.1117/12.2679977

KEYWORDS: Equipment, Satellites, Spectroscopy, Calibration, Hyperspectral imaging, Signal to noise ratio, Data processing, Space operations, Reflectivity, Satellite communications

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Imaging spectroscopy enables the observation and monitoring of surface properties thanks to the diagnostic capability of contiguous, spectral measurements from the Visible to the Shortwave Infra-Red portion of the electromagnetic spectrum. These observations of the Earth’s surface support the generation of a wide variety of new products and services, spanning across different domains relevant to various European Union (EU) policies that are currently not being met or can be substantially improved, not only for the public, but also for the private downstream sector. The Copernicus Hyperspectral Imaging Mission for the Environment (CHIME) aims to provide routine hyperspectral observations over the land and coastal zones through the Copernicus Programme in support of EU- and related policies for the management of natural resources, assets, and benefits. This unique Visible-to-shortwave Infra-Red spectroscopy based observational capability will in particular support new and enhanced services for food security, agriculture and raw materials. For the development of the Space Segment Contract (Phase B2/C/D/E1) Thales Alenia Space (France) as Satellite Prime and OHB (Germany) as Instrument Prime were selected. The contract was signed in November 2020 and the corresponding Kick-Off released the start of Phase B2. The System Requirement Review (SRR) was conducted in July 2021 and the Preliminary Design Review (PDR) is being conducted in 2022. Currently there are two satellites foreseen and each of the satellites will embark a HyperSpectral Instrument (HSI), a pushbroom-type grating Imaging Spectrometer with high Signal-to-Noise Ratio (SNR), high radiometric accuracy and data uniformity. HSI consists of a single telescope for three single-channel spectrometers covering each one-third of the total swath of approximately 130 km. The spectral range of each spectrometer is covering the entire spectral range from 400 to 2500 nm. CHIME data will be processed and disseminated through the Copernicus core Ground Segment allowing the generation of CHIME core products: L2A (bottom-of-atmosphere surface reflectance in cartographic geometry), L1C (top-of-atmosphere reflectance in cartographic geometry) and L1B (top-of-atmosphere radiance in sensor geometry). Additional higher level prototype products related to key vegetation, soil and raw material properties are also being developed. In this contribution, besides the mission requirements and planning, the main outcomes of the activities in Phase A/B1 and B2, as well as the planned activities for Phase C/D/E will be presented, covering the scientific support studies, the technical developments, and the user community preparatory activities.

Proceedings Article | 12 September 2021 Presentation + Paper

Presentation + Paper

Copernicus Sentinel-2C/D Multi Spectral Instrument full field of view spectral characterization

Arthur Toulemont, Mickael Olivier, Sébastien Clerc, Rémi Bellouard, Francisco Reina, Ferran Gascon, Jean-François Luce, Constantin Mavrocordatos, Valentina Boccia

Proceedings Volume 11858, 118580V (2021) https://doi.org/10.1117/12.2593729

KEYWORDS: Sensors, Short wave infrared radiation, Multispectral imaging, Monochromators, Calibration, Staring arrays, Vegetation, Satellites, Spectral calibration, Spectral data processing

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The Sentinel-2 (S-2) mission is part of the Copernicus Space Component (CSC) – the European Commission’s Earth Observation program. It is designed to provide systematic global acquisitions of land and coastal areas at high-spectral resolution and with high revisit frequency, generating products feeding a large range of operational applications in domains such as agriculture, ecosystems management, natural disaster monitoring or water quality monitoring. The mission is currently in its operational phase with a constellation of two satellites (Sentinel-2A and Sentinel-2B) launched in 2015 and 2017 respectively, each designed for a minimum lifetime of 7.25 years with consumables sized for 12 years. In order to provide a long-term service (up to 20-year of overall mission duration), two additional satellites Sentinel-2C and Sentinel-2D were funded by the European Commission and are presently under development. The main S-2 payload, the Multi Spectral Instrument (MSI), is a push broom instrument with 13 spectral bands covering from the visible and the near infrared (VNIR) to the short wave infrared (SWIR). Operational experience from S-2 A&B, with new applications raising up, demonstrates how crucial and valuable accurate instrument spectral characterization is becoming. In the frame of S-2 C&D development, an enhanced spectral characterization method was implemented in order to address all the pixels of the Field Of View (FOV) on all the bands of the instrument with high precision, accuracy and sampling. This paper describes this novel approach as well as the test setup used to characterize both VNIR channels operated at ambient pressure and SWIR channels operated at low temperature in vacuum conditions. The results of the spectral response of the thirteen bands obtained during the MSI-C test campaign executed between 2019 and 2020 and their associated accuracy are presented. Finally, the impact of spectral response variation on typical targets and the added value for the users from the accurate knowledge of the spectral response is addressed.

Proceedings Article | 2 October 2020 Presentation + Paper

Presentation + Paper

The ESA Sentinel next-generation land & ocean optical imaging architectural study, an overview

Armin Löscher, Philippe Martimort, Simon Jutz, Ferran Gascon, Craig Donlon, Ilias Manolis, Umberto del Bello

Proceedings Volume 11530, 115300B (2020) https://doi.org/10.1117/12.2572871

KEYWORDS: Optical imaging, Satellites, Imaging systems, Multispectral imaging, Astronomical imaging, Space operations, Ocean optics, Optical components, Radiometry, Earth observing sensors

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Proceedings Article | 20 September 2020 Presentation + Paper

Presentation + Paper

Next updates of atmospheric correction processor Sen2Cor

Bringfried Pflug, Jérôme Louis, Vincent Debaecker, Uwe Mueller-Wilm, Carine Quang, Ferran Gascon, Valentina Boccia

Proceedings Volume 11533, 1153304 (2020) https://doi.org/10.1117/12.2574035

KEYWORDS: Atmospheric corrections, Aerosols, Atmospheric particles, Scene classification, Reflectivity, Satellites, Optical imaging, Ocean optics, Atmospheric modeling, Atmospheric monitoring

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Proceedings Article | 9 October 2018 Presentation + Paper

Presentation + Paper

Bulk reprocessing of the ALOS PRISM/AVNIR-2 archive of the European Space Agency: level 1 orthorectified data processing and data quality evaluation

Sébastien Saunier, Rubinder Mannan, Peter Schwind, Rupert Mueller, Tobias Storch, Roberto Biasutti, Ferran Gascon, Philippe Goryl, Marco Meloni

Proceedings Volume 10789, 1078906 (2018) https://doi.org/10.1117/12.2325618

KEYWORDS: Data archive systems, Image processing, Sensors, Image quality, Modulation transfer functions, Data acquisition, Clouds, Data modeling, Deconvolution

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Proceedings Article | 9 October 2018 Presentation + Paper

Presentation + Paper

New tool for spatio-temporal image fusion in remote sensing: a case study approach using Sentinel-2 and Sentinel-3 data

Nikolina Mileva, Susanne Mecklenburg, Ferran Gascon

Proceedings Volume 10789, 107890L (2018) https://doi.org/10.1117/12.2327091

KEYWORDS: Image resolution, Reflectivity, Image fusion, Data fusion, Sensors, Multispectral imaging, Earth observing sensors, Agriculture

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Proceedings Article | 4 October 2017 Paper

Paper

Sen2Cor for Sentinel-2

Magdalena Main-Knorn, Bringfried Pflug, Jerome Louis, Vincent Debaecker, Uwe Müller-Wilm, Ferran Gascon

Proceedings Volume 10427, 1042704 (2017) https://doi.org/10.1117/12.2278218

KEYWORDS: Atmospheric corrections, Calibration, Scene classification, Satellite imaging, Satellites, Clouds, Aerosols, Optical imaging, Multispectral imaging, Earth observing sensors

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Proceedings Article | 4 October 2017 Paper

Paper

Bulk processing of the Landsat MSS/TM/ETM+ archive of the European Space Agency: an insight into the level 1 MSS processing

Sébastien Saunier, Amy Northrop, Samantha Lavender, Luca Galli, Riccardo Ferrara, Stefano Mica, Roberto Biasutti, Philippe Goryl, Ferran Gascon, Marco Meloni

Proceedings Volume 10427, 1042702 (2017) https://doi.org/10.1117/12.2278633

KEYWORDS: Landsat, Calibration, Data archive systems, Earth observing sensors, Satellites, Scanners, Remote sensing, Error analysis, Image quality, Image restoration

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Proceedings Article | 29 September 2017 Paper

Paper

Image quality validation of Sentinel 2 Level-1 products: performance status at the beginning of the constellation routine phase

Benjamin Francesconi, Marion Neveu-VanMalle, Aude Espesset, Bahjat Alhammoud, Catherine Bouzinac, Sébastien Clerc, Ferran Gascon

Proceedings Volume 10423, 1042306 (2017) https://doi.org/10.1117/12.2276847

KEYWORDS: Radiometry, Image quality, Calibration, Modulation transfer functions, Sensor calibration, Image registration, Spatial resolution, Visible radiation, Near infrared, Short wave infrared radiation, Digital image correlation, Passive remote sensing

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Proceedings Article | 25 September 2017 Open Access

Open Access

Paper

Sentinel-2A: multi-spectral instrument first in-orbit performance

Valerie Fernandez, Claudia Isola, Bianca Hoersch, Ferran Gascon, Thierry Tréma

Proceedings Volume 10562, 105620B (2017) https://doi.org/10.1117/12.2296063

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Proceedings Article | 19 October 2016 Presentation + Paper

Presentation + Paper

Novel techniques for the analysis of the TOA radiometric uncertainty

Javier Gorroño, Andrew Banks, Ferran Gascon, Nigel Fox, Craig Underwood

Proceedings Volume 10000, 100001H (2016) https://doi.org/10.1117/12.2240391

KEYWORDS: Reflectivity, Radio propagation, Spectral calibration, Convolution, Calibration, Sensors, Laser induced breakdown spectroscopy, Multispectral imaging, Atmospheric propagation, Atmospheric modeling

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Proceedings Article | 15 October 2015 Paper

Paper

Bulk processing of the Landsat MSS/TM/ETM+ archive of the European Space Agency

F. Gascon, R. Biasutti, R. Ferrara, P. Fischer, L. Galli, B. Hoersch, S. Lavender, M. Meloni, S. Mica, A. Northrop, A. Paciucci, S. Saunier

Proceedings Volume 9643, 964302 (2015) https://doi.org/10.1117/12.2192847

KEYWORDS: Earth observing sensors, Landsat, Calibration, Inspection, Data archive systems, Clouds, Sensors, Image quality, Reflectivity, Statistical analysis

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Proceedings Article | 12 October 2015 Paper

Paper

Radiometric uncertainty per pixel for the Sentinel-2 L1C products

Javier Gorroño, Ferran Gascon, Nigel Fox

Proceedings Volume 9639, 96391G (2015) https://doi.org/10.1117/12.2192974

KEYWORDS: Sensors, Diffusers, Reflectivity, Calibration, Quantization, Sun, Interference (communication), Polarization, Gaussian filters, Infrared sensors

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Proceedings Article | 26 September 2014 Paper

Paper

Copernicus Sentinel-2 Mission: Products, Algorithms and Cal/Val

F. Gascon, E. Cadau, O. Colin, B. Hoersch, C. Isola, B. López Fernández, P. Martimort

Proceedings Volume 9218, 92181E (2014) https://doi.org/10.1117/12.2062260

KEYWORDS: Calibration, Sensors, Image processing, Satellites, Reflectivity, Atmospheric modeling, Image segmentation, Data modeling, Sun, Clouds

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Proceedings Article | 26 September 2014 Paper

Paper

European Space Agency (ESA) Landstat MSS/TM/ETM+ archive bulk-processing: processor improvements and data quality

F. Gascon, R. Biasutti, R. Ferrara, P. Fischer, L. Galli, B. Hoersch, S. Hopkins, J. Jackson, S. Lavender, S. Mica, A. Northrop, A. Paciucci, F. Paul, S. Pinori, S. Saunier

Proceedings Volume 9218, 92181C (2014) https://doi.org/10.1117/12.2062223

KEYWORDS: Landsat, Data archive systems, Data processing, Satellites, Data acquisition, Remote sensing, Scanners, Earth observing sensors, Thermography, Clouds

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Proceedings Article | 14 September 2011 Paper

Paper

SENTINEL-2 level 1-image processing and performances

Simon Baillarin, Aimé Meygret, Cécile Dechoz, Philippe Martimort, Beatrice Petrucci, Sophie Lachérade, Claudia Isola, Riccardo Duca, François Spoto, Patrice Henry, Ferran Gascon, Stéphanie Auriol, Arnaud Kelbert, Vincent Poulain

Proceedings Volume 8153, 81530P (2011) https://doi.org/10.1117/12.892773

KEYWORDS: Image processing, Satellites, Prototyping, Image quality, Sensors, Data modeling, Reflectivity, Calibration, Short wave infrared radiation, Databases

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Proceedings Article | 23 September 2009 Paper

Paper

Sentinel-2 optical high resolution mission for GMES land operational services

Ferran Gascon, Philippe Martimort, François Spoto

Proceedings Volume 7474, 747404 (2009) https://doi.org/10.1117/12.830670

KEYWORDS: Satellites, Calibration, Satellite imaging, Sensors, Image quality, Space operations, Image processing, Short wave infrared radiation, Optical resolution, Earth observing sensors

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Proceedings Article | 21 August 2009 Paper

Paper

SENTINEL-2 image quality and level 1 processing

Aimé Meygret, Simon Baillarin, Ferran Gascon, Emmanuel Hillairet, Cécile Dechoz, Sophie Lacherade, Philippe Martimort, François Spoto, Patrice Henry, Riccardo Duca

Proceedings Volume 7452, 74520D (2009) https://doi.org/10.1117/12.826184

KEYWORDS: Calibration, Image processing, Satellites, Sensors, Image quality, Short wave infrared radiation, Data modeling, Image registration, Sun, Reflectivity

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Showing 5 of 18 publications

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