{"id":9741,"date":"2026-07-03T15:57:14","date_gmt":"2026-07-03T13:57:14","guid":{"rendered":"https:\/\/academiespatiale.fr\/?page_id=9741"},"modified":"2026-07-03T17:17:53","modified_gmt":"2026-07-03T15:17:53","slug":"bootcamp-ia-et-observation-satellitaire-2-edition-2026","status":"publish","type":"page","link":"https:\/\/academiespatiale.fr\/index.php\/formations\/programmes-pedagogiques\/formations-innovantes\/bootcamp-ia-et-observation-satellitaire\/bootcamp-ia-et-observation-satellitaire-2-edition-2026\/","title":{"rendered":"Bootcamp IA et observation satellitaire #2 \u2013 \u00e9dition 2026"},"content":{"rendered":"\n
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\n\t\t\tHome<\/a>\n\t\t<\/span>»<\/span>\n\t\t\tFormations & m\u00e9tiers<\/a>\n\t\t<\/span>»<\/span>\n\t\t\tProgrammes p\u00e9dagogiques<\/a>\n\t\t<\/span>»<\/span>\n\t\t\tFormations innovantes<\/a>\n\t\t<\/span>»<\/span>\n\t\t\tBootcamp IA et observation satellitaire<\/a>\n\t\t<\/span>»<\/span>\n\t\t\tBootcamp IA et observation satellitaire #2 \u2013 \u00e9dition 2026\n\t\t<\/span><\/div><\/div>\n<\/div>\n\n\n\n
>>> Click here for the english version<\/summary>\n

From April 20 to 23, 2026, we organized, in collaboration with the Sorbonne Center for Artificial Intelligence (SCAI) and the IPSL \u2013 Climate Graduate School (IPSL-CGS), the second edition of the Satellite Observations Bootcamp, focused on machine learning (AI) methods and their applications in remote sensing and Earth system sciences.<\/strong><\/p>\n\n\n\n

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LThe goal of this week was to enable participants to discover, understand, and experiment with artificial intelligence techniques applied to the analysis of data from Earth observation.<\/p>\n\n\n\n

About thirty undergraduate, Master\u2019s, and doctoral students from various institutions in the \u00cele-de-France region and beyond participated in this intensive program, which combined scientific lectures, hands-on exercises, and supervised projects.<\/p>\n\n\n\n

Weekly Schedule<\/strong><\/p>\n\n\n\n

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  • Mornings: Scientific Lectures<\/li>\n<\/ul>\n\n\n\n

    Each morning, participants attended lectures given by researchers specializing in AI applied to satellite data and Earth sciences.<\/p>\n\n\n\n

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    • Afternoons: Hands-on Sessions<\/li>\n<\/ul>\n\n\n\n

      The hands-on sessions were led by Guillaume Gastineau (SU), Aymeric Chazottes (UVSQ), Yahya Mohandi (LATMOS), No\u00e9 Cl\u00e9ment (IPSL), Vivien Conti (SCAI), and Georges Baaklini (Acad\u00e9mie Spatiale).<\/p>\n\n\n\n

      These sessions gave students the opportunity to apply artificial intelligence methods in a practical way to satellite datasets through a variety of environmental projects carried out throughout the week.<\/p>\n<\/div>\n\n\n\n

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      Look back at edition #2 – 2026<\/h3>\n\n\n\n
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      Monday, April 20 – Introduction and Project Launch<\/h4>\n\n\n\n
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      • Introduction to machine learning
        – Erwan Scornet (LPSM, SCAI – SU)<\/li>\n<\/ul>\n\n\n\n
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        • Start of the practical sessions: dividing students into groups and defining projects focused on environmental issues (detection of eddies, identification of clouds, interactions between coastal and offshore waters)<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n

          Tuesday, April 21 – Atmospheric Applications<\/h4>\n\n\n\n
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          • Introduction to Machine Learning
            – Erwan Scornet (LPSM, SCAI \u2013 Sorbonne Universit\u00e9)<\/li>\n<\/ul>\n\n\n\n
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            • Direct and Indirect Effects of Anthropogenic Aerosols on Earth\u2019s Albedo and Climate Change
              – No\u00e9 Cl\u00e9ment (IPSL)<\/li>\n<\/ul>\n\n\n\n

              Wednesday, April 22 – Ocean Applications<\/h4>\n\n\n\n
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              • Characterization of the Spatiotemporal Variability of Phytoplankton and Its Environment Using Self-Organizing Maps (SOM)
                – Roy El Houary (LOG)<\/li>\n<\/ul>\n\n\n\n
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                • Artificial Intelligence for Interpolating Sea Surface Height and Forecasting Ocean Currents
                  – Anastase Charantonis (INRIA)<\/li>\n<\/ul>\n\n\n\n
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                  Thursday, April 23 – Hydrology and Advanced Remote Sensing<\/h4>\n\n\n\n
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                  • Machine Learning Methods for Estimating and Studying Precipitation
                    – Nicolas Viltard (LATMOS)<\/li>\n<\/ul>\n\n\n\n
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                    • Machine Learning for Super-Resolution of Land Surface Temperature
                      – Carlos Granero Belinchon (IMT Atlantique)<\/li>\n<\/ul>\n\n\n\n
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                      Final report<\/h4>\n\n\n\n

                      At the end of the week, each group presented its findings after four days of collecting, cleaning, processing, and analyzing satellite data. The participants used artificial intelligence techniques to address concrete environmental challenges, illustrating the diversity of approaches explored during this bootcamp.<\/p>\n\n\n\n

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                      This work is led by the \u201cClimate Graduate School\u201d at the Institut Pierre-Simon Laplace (IPSL-CGS), with support from the French National Research Agency (ANR) as part of the \u201cUniversity Research Schools\u201d program under the \u201cInvestissements d\u2019Avenir\u201d initiative, grant number ANR-11-IDEX-0004 – 17-EURE-0006.<\/em><\/p>\n<\/div>\n<\/div>\n\n\n\n

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                      Du 20 au 23 avril 2026, nous avons organis\u00e9, en collaboration avec Sorbonne Center for Artificial Intelligence (SCAI) et l\u2019\u00c9cole universitaire de recherche IPSL \u2013 Climate Graduate School (IPSL-CGS), la deuxi\u00e8me \u00e9dition du Bootcamp Observations Satellitaires, consacr\u00e9e aux m\u00e9thodes d\u2019apprentissage automatique (IA) et \u00e0 leurs applications en t\u00e9l\u00e9d\u00e9tection et en sciences du syst\u00e8me Terre.<\/strong><\/p>\n\n\n\n

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                      L\u2019objectif de cette semaine \u00e9tait de permettre aux participant\u00b7es de d\u00e9couvrir, comprendre et exp\u00e9rimenter les techniques d\u2019intelligence artificielle appliqu\u00e9es \u00e0 l\u2019analyse de donn\u00e9es issues de l\u2019observation spatiale de la Terre.<\/p>\n\n\n\n

                      Une trentaine d\u2019\u00e9tudiant\u00b7es de Licence, Master 2 et doctorat, issus de diff\u00e9rents \u00e9tablissements d\u2019\u00cele-de-France et d\u2019autres r\u00e9gions, ont particip\u00e9 \u00e0 ce programme intensif m\u00ealant conf\u00e9rences scientifiques, travaux pratiques et projets encadr\u00e9s.<\/p>\n\n\n\n

                      Organisation de la semaine<\/strong><\/p>\n\n\n\n

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                      • Matin\u00e9es : conf\u00e9rences scientifiques<\/li>\n<\/ul>\n\n\n\n

                        Chaque matin, les participant\u00b7es ont assist\u00e9 \u00e0 des conf\u00e9rences donn\u00e9es par des chercheur\u00b7es sp\u00e9cialistes de l\u2019IA appliqu\u00e9e aux donn\u00e9es satellitaires et aux sciences de la Terre.<\/p>\n\n\n\n

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                        • Apr\u00e8s-midi : travaux pratiques<\/li>\n<\/ul>\n\n\n\n

                          Les travaux pratiques ont \u00e9t\u00e9 encadr\u00e9s par Guillaume Gastineau (SU), Aymeric Chazottes (UVSQ), Yahya Mohandi (LATMOS), No\u00e9 Cl\u00e9ment (IPSL), Vivien Conti (SCAI) et Georges Baaklini (Acad\u00e9mie Spatiale).<\/p>\n\n\n\n

                          Ces sessions ont permis aux \u00e9tudiant\u00b7es d\u2019appliquer concr\u00e8tement des m\u00e9thodes d\u2019intelligence artificielle sur des jeux de donn\u00e9es satellitaires, \u00e0 travers des projets environnementaux vari\u00e9s men\u00e9s tout au long de la semaine.<\/p>\n<\/div>\n\n\n\n

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                          Retrospective de l’\u00e9dition #2 – 2026<\/h3>\n\n\n\n
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                          Lundi 20 avril \u2014 Introduction et lancement des projets<\/h4>\n\n\n\n
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                          • Introduction au machine learning
                            – Erwan Scornet (LPSM, SCAI – SU)<\/li>\n<\/ul>\n\n\n\n
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                            • Lancement des travaux pratiques : r\u00e9partition des \u00e9tudiant\u00b7es en groupes et d\u00e9finition des projets autour de probl\u00e9matiques environnementales (d\u00e9tection de tourbillons, identification de nuages, interactions entre eaux c\u00f4ti\u00e8res et eaux du large)<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n

                              Mardi 21 avril \u2014 Applications \u00e0 l\u2019atmosph\u00e8re<\/h4>\n\n\n\n
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                              • Introduction \u00e0 l\u2019apprentissage automatique
                                – Erwan Scornet (LPSM, SCAI \u2013 Sorbonne Universit\u00e9)<\/li>\n<\/ul>\n\n\n\n
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                                • Effets directs et indirects des a\u00e9rosols anthropiques sur l\u2019alb\u00e9do de la Terre et le changement climatique
                                  – No\u00e9 Cl\u00e9ment (IPSL)<\/li>\n<\/ul>\n\n\n\n

                                  Mercredi 22 avril \u2014 Applications \u00e0 l\u2019oc\u00e9an<\/h4>\n\n\n\n
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                                  • Caract\u00e9risation de la variabilit\u00e9 spatio-temporelle du phytoplancton et de son environnement \u00e0 l\u2019aide des cartes auto-organisatrices (SOM)
                                    – Roy El Houary (LOG)<\/li>\n<\/ul>\n\n\n\n
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                                    • Intelligence artificielle pour l\u2019interpolation de la hauteur de surface de la mer et la pr\u00e9vision des courants oc\u00e9aniques
                                      – Anastase Charantonis (INRIA)<\/li>\n<\/ul>\n\n\n\n
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                                      Jeudi 23 avril \u2014 Hydrologie et t\u00e9l\u00e9d\u00e9tection avanc\u00e9e<\/h4>\n\n\n\n
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                                      • M\u00e9thodes d\u2019apprentissage automatique pour l\u2019estimation et l\u2019\u00e9tude des pr\u00e9cipitations
                                        – Nicolas Viltard (LATMOS)<\/li>\n<\/ul>\n\n\n\n
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                                        • Apprentissage automatique pour la super-r\u00e9solution de la temp\u00e9rature de surface terrestre
                                          – Carlos Granero Belinchon (IMT Atlantique)<\/li>\n<\/ul>\n\n\n\n
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                                          Restitution finale<\/h4>\n\n\n\n

                                          En fin de semaine, chaque groupe a pr\u00e9sent\u00e9 ses r\u00e9sultats apr\u00e8s quatre jours de collecte, nettoyage, traitement et analyse de donn\u00e9es satellitaires. Les participant\u00b7es ont mobilis\u00e9 des techniques d\u2019intelligence artificielle pour r\u00e9pondre \u00e0 des probl\u00e9matiques environnementales concr\u00e8tes, illustrant la richesse des approches explor\u00e9es durant ce bootcamp.<\/p>\n\n\n\n

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                                          Ce travail est port\u00e9 par la \u00ab Climate Graduate School \u00bb de l’Institut Pierre-Simon Laplace (IPSL-CGS), soutenue par l\u2019Agence Nationale de la Recherche (ANR) dans le cadre du programme Investissements d’Avenir \u00ab\u00a0Ecoles Universitaires de Recherche\u00a0\u00bb sous la r\u00e9f\u00e9rence n\u00b0 ANR-11-IDEX-0004 – 17-EURE-0006<\/em><\/p>\n<\/div>\n<\/div>\n\n\n\n

                                          \"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

                                          Du 20 au 23 avril 2026, nous avons organis\u00e9, en collaboration avec Sorbonne Center for Artificial Intelligence (SCAI) et l\u2019\u00c9cole universitaire de recherche IPSL \u2013 Climate Graduate School (IPSL-CGS), la deuxi\u00e8me \u00e9dition du Bootcamp Observations Satellitaires, consacr\u00e9e aux m\u00e9thodes d\u2019apprentissage automatique (IA) et \u00e0 leurs applications en t\u00e9l\u00e9d\u00e9tection et en […]<\/p>\n","protected":false},"author":1,"featured_media":6663,"parent":2468,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_EventAllDay":false,"_EventTimezone":"","_EventStartDate":"","_EventEndDate":"","_EventStartDateUTC":"","_EventEndDateUTC":"","_EventShowMap":false,"_EventShowMapLink":false,"_EventURL":"","_EventCost":"","_EventCostDescription":"","_EventCurrencySymbol":"","_EventCurrencyCode":"","_EventCurrencyPosition":"","_EventDateTimeSeparator":"","_EventTimeRangeSeparator":"","_EventOrganizerID":[],"_EventVenueID":[],"_OrganizerEmail":"","_OrganizerPhone":"","_OrganizerWebsite":"","_VenueAddress":"","_VenueCity":"","_VenueCountry":"","_VenueProvince":"","_VenueState":"","_VenueZip":"","_VenuePhone":"","_VenueURL":"","_VenueStateProvince":"","_VenueLat":"","_VenueLng":"","_VenueShowMap":false,"_VenueShowMapLink":false,"footnotes":""},"class_list":["post-9741","page","type-page","status-publish","has-post-thumbnail","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t