The second "Sentinel-2 for science" symposium , organised by ESA, took place in italy late may 2014. More than 400 future Sentinel-2 users participated, which is a record for a conference organised by ESA at ESA premises. Compared to the first Sentinel-2 users workshop, it turns out that most of the talks were based on time series of images, while this proportion was less than a third for the first users symposium (other talks were about spectral indexes, mono date model inversions, which is good science but is not specifically tailored for Sentinel-2). This shows that the Sentinel-2 users community state of preparation did a lot of progress during the two last years. To this respect, it seems that the SPOT4(Take5) experiment has helped a lot, as at least 15 of the 55 talks (and a lot of posters) of the symposium were largely based on the data set. That was exactly the purpose of the experiment and I am quite please to see it succeeded. The data are still available there, and there are still a lot of things to do. Here are the links to the 15 talks that use SPOT4 (Take5) data (I may have forgotten one of two, if so please tell me ! I have not found the links to the posters, if someone found them, please tell me !). You may also access the whole program here (some talks, although not based on SPOT4 (Take5), were also very stimulating 😉 )
MUSCATE : An Operational Tool for Atmospheric Corrections And Monthly Composites Sentinel-2 Marc Leroy1, Olivier Hagolle2, Mireille Huc2, Mohammed Kadiri2, Gérard Dedieu2, Joëlle Donadieu1, Philippe Pacholczyk1, Céline L'Helguen1, Selma Cherchali11: CNES, France; 2: CESBIO
Eric Vermote1, Martin Claverie1,2, Jeffrey Masek3, Inbal Becker-Reshef2, Chris Justice21: NASA/GSFC Code 619; 2: University of Maryland, Dept of Geographical Sciences; 3: NASA/GSFC Code 618
Restoration of Missing Data due to Clouds on Optical Satellite Imagery Using Neural Networks Nataliia Kussul, Sergii Skakun, Ruslan BasarabSpace Research Institute NASU-SSAU, Ukraine
Agronomy and hydrology with Sentinel-2 type time series: Towards spatial characterization of crop productivity and its impacts on water and nutrient cycle at the catchment scale Sylvain Ferrant1,2, Simon Gascoin2,3, Amanda Veloso2, Martin Claverie4, Gérard Dedieu1,2, Valerie Demarez2,5, Eric Ceschia2,5, Patrick Durand6, Jean-luc Probst3,7, Vincent Bustillo2,51: CNES, France; 2: CESBIO, France; 3: CNRS, France; 4: University of Maryland; 5: University of Toulouse; 6: INRA, France; 7: ECOLAB, FranceBased on Formosat-2 rather than SPOT4 (Take5), but these data are similar and produced with the same methods.
Crop mapping in complex landscape by multi-source data mining and remote sensing for food security Elodie Vintrou1, Valentine Lebourgeois2, Agnès Bégué2, Dino Ienco3, Maguelonne Teisseire3, Pierre Todoroff1, Fidiniaina Ramahandry Andriandrahona41: CIRAD UR AIDA, Station Ligne Paradis, 7 chemin de l’Irat, 97410 Saint Pierre, La Réunion; 2: CIRAD UMR TETIS, Maison de la Télédétection, 500 rue J.F. Breton, Montpellier, France; 3: IRSTEA UMR TETIS, Maison de la Télédétection, 500 rue J.F. Breton, Montpellier, France; 4: FOFIFA, Station Régionale de Recherche FOFIFA Tsivatrinikamo ANTSIRABE 110, Madagascar
Sentinel-2 Agriculture project: Preparing Sentinel-2 exploitation for agriculture monitoring Defourny Pierre1, Bontemps Sophie1, Cara Cosmin4, Dedieu Gérard2, Guzzonato Eric3, Hagolle Olivier2, Inglada Jordi2, Rabaute Thierry3, Savinaud Mickael3, Sepulcre Guadalupe1, Valero Silvia2, Koetz Benjamin51: UCLouvain, Belgium; 2: CESBIO, France; 3: CS-Systèmes d’Information, France; 4: CS-Systèmes d’Information, Romania; 5: ESA, ESRIN, Italy
Crop Identification and acreage estimate using a combination of Spot4-Take5 & Landsat 8. A preparatory study for Sentinel 2 N. Knox1,2, L.T. Tsoeleng1, C. Adjorlolo1,2, T. Newby31: South African National Space Agency (SANSA), South Africa; 2: University of KwaZulu-Natal (UKZN), South Africa; 3: National Earth Observation and Space Secretariat (NEOSS), c/o SIIU - CSIR, South Africa.
Multisource EO Data for the optimal agricultural drainage water management in semi-arid area of Doukkala (Western MOROCCO): Potential of Sentinel-2 Type Observation Kamal Labbassi1, Nadia Akdim1, Silvia Maria Alfieri2,3, Massimo Menenti21: Chouaib Doukkaly University, Morocco; 2: Delft University of Technology, Netherlands; 3: Institute for Mediterranean Agricultural and Forest Systems, Italy
Assessing Forest Degradation from Selective Logging using Time Series of Fine Spatial Resolution Imagery in Republic of Congo Astrid Verhegghen, Baudouin Desclée, Hugh Eva, Frédéric AchardJoint Research Centre of the European Commission, Italy
Coastal and inland waters
Mapping estuarine turbidity using high and medium resolution time series imagery Virginie Lafon1, Arthur Robinet1, Tatiana Donnay2, David Doxaran2, Bertrand Lubac3, Eric Maneux1, Aldo Sottolichio3, Olivier Hagolle4, Alexandra Coynel31: GEO-Transfert, ADERA, Université de Bordeaux, France; 2: Laboratoire d'Océanographie de Villefranche, UMR 7093 - CNRS / UPMC, France; 3: UMR EPOC, Université de Bordeaux-CNRS, France; 4: CESBIO, CNRS,UPS, CNES, IRD, France
CoastColour Spot 4 Take 5 Carsten Brockmann1, Ruescas Ana1, Pinnock Simon21: Brockmann Consult GmbH, Germany; 2: ESA ESRIN, Italy
Sentinel-2 Time Series for GlobWetland II to map Threats in Wetlands Kathrin Weise1, Marc Paganini2, Max Tobaschus1,3, Martin Faber1,31: Jena-Optronik GmbH, Germany; 2: European Space Agency, Italy; 3: Friedrich Schiller University Jena, Germnay