SPOT4 (Take5) communications at the Sentinel-2 Symposium

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 😉 ) 

Ground Segment

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

Pre-processing

Eric Vermote¹, Martin Claverie^1,2, 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

Agriculture

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 Ferrant^1,2, Simon Gascoin^2,3, Amanda Veloso², Martin Claverie⁴, Gérard Dedieu^1,2, Valerie Demarez^2,5, Eric Ceschia^2,5, Patrick Durand⁶, Jean-luc Probst^3,7, Vincent Bustillo^2,51: 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. Knox^1,2, L.T. Tsoeleng¹, C. Adjorlolo^1,2, 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 Alfieri^2,3, Massimo Menenti²1: Chouaib Doukkaly University, Morocco; 2: Delft University of Technology, Netherlands; 3: Institute for Mediterranean Agricultural and Forest Systems, Italy

Forests