{"id":9692,"date":"2026-07-03T15:11:53","date_gmt":"2026-07-03T13:11:53","guid":{"rendered":"https:\/\/academiespatiale.fr\/?page_id=9692"},"modified":"2026-07-03T16:54:53","modified_gmt":"2026-07-03T14:54:53","slug":"bootcamp-ia-et-observation-satellitaire-1-edition-2025","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-1-edition-2025\/","title":{"rendered":"Bootcamp IA et observation satellitaire #1 – \u00e9dition 2025"},"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 #1 \u2013 \u00e9dition 2025\n\t\t<\/span><\/div><\/div>\n<\/div>\n\n\n\n
>>> Click here for the english version<\/summary>\n

From April 14 to 18, 2025, we were pleased to organize, in collaboration with the Sorbonne Center for Artificial Intelligence (SCAI) and IPSL-CGS, the first edition of our \u201cArtificial Intelligence and Satellite Observation\u201d Bootcamp. This intensive week-long program focused on machine learning (AI) methods and their applications in the field of space-based remote sensing. This innovative training module is designed for master\u2019s and doctoral students.<\/strong><\/p>\n\n\n\n

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The main objective was to enable participants to discover, understand, and experiment with artificial intelligence techniques applied to the analysis of data from Earth observation satellites.<\/p>\n\n\n\n

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

The program was led by Guillaume Gastineau (LOCEAN), Selviga Sinnathamby (LATMOS), Baptiste Gregorutti (SCAI), and Georges Baaklini (IDF Space Academy).<\/em><\/p>\n<\/div>\n\n\n\n

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Look back at edition #1 – 2025<\/h3>\n\n\n\n
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Monday, April 14 – Introduction and Project Launch<\/strong><\/h4>\n\n\n\n
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\u00a9 Selviga Sinnathamby<\/figcaption><\/figure>\n<\/div>\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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    • Start of the hands-on exercises: The students were divided into groups working on specific environmental issues such as eddy detection, cloud identification, and the interactions between coastal and offshore waters.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n

      Tuesday, April 15 – Atmospheric Applications<\/strong><\/h4>\n\n\n\n
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      \u00a9 Selviga Sinnathamby<\/figcaption><\/figure>\n<\/div>\n\n\n\n
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      • Estimation and Analysis of Precipitation Using Machine Learning\u2013 Nicolas Viltard (LATMOS)<\/li>\n<\/ul>\n\n\n\n
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        • Estimation of Surface and Wet-Bulb Temperatures
          \u2013 Sarah Safieddine (LATMOS)<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n

          Wednesday, April 16 – Ocean Applications<\/strong><\/h4>\n\n\n\n
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          • Remote Sensing of Phytoplankton \u2013 Roy Elhouary (LOG)<\/li>\n\n\n\n
          • Neural Network Data Assimilation for Quantifying Oceanic Uncertainties \u2013 Ronan Fablet (IMT Atlantique)<\/li>\n<\/ul>\n\n\n\n
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            \u00a9 Selviga Sinnathamby<\/figcaption><\/figure>\n<\/div>\n\n\n\n
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            \u00a9 Selviga Sinnathamby<\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

            Thursday, April 17 – Hydrology & Advanced Remote Sensing<\/strong><\/h4>\n\n\n\n
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            • Monitoring the Water Cycle Using Satellite Observations \u2013 Victor Pellet (Bachelor\u2019s and Master\u2019s Programs)<\/li>\n\n\n\n
            • Fundamental Models for Remote Sensing Data Analysis \u2013 Jocelyn Chanussot (INRIA)<\/li>\n<\/ul>\n\n\n\n

              Every afternoon, the students applied what they had learned to their hands-on projects by collecting, cleaning, processing, and analyzing satellite data using AI techniques. At the end of the day on Thursday, each group presented its findings and solutions to address their environmental challenges.<\/p>\n\n\n\n

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              \u00a9 Selviga Sinnathamby<\/p>\n\n\n\n

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              Friday, April 18 – AI for Everyone & Career Opportunities<\/strong><\/h4>\n\n\n\n

              A day dedicated to first-year undergraduate and first-year master\u2019s students, with nearly thirty participants, to explore the opportunities offered by artificial intelligence in the space sector:<\/p>\n\n\n\n

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              • AI Outlook: Training and the Job Market \u2013 Caroline Chopinaud (Hub France IA)<\/li>\n\n\n\n
              • Overview of the Space Sector \u2013 H\u00e9l\u00e8ne Chepfer (LMD)<\/li>\n\n\n\n
              • AI-Based Forecasting of Arctic Sea Ice Trends \u2013 Julien Brajard (NERSC, videoconference)<\/li>\n\n\n\n
              • Preparatory workshop and closing roundtable with AI and space experts: Caroline Chopinaud, Sarah Safieddine, and Erwan Scornet.<\/li>\n<\/ul>\n\n\n\n
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                \u00a9 Selviga Sinnathamby<\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

                This event provided students with a unique opportunity to engage directly with experts, deepening their understanding of current and future challenges in the application of artificial intelligence to space observation.<\/strong><\/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 14 au 18 avril 2025, nous avons eu le plaisir d’organiser, en collaboration avec le Sorbonne Center for Artificial Intelligence (SCAI) et l’IPSL-CGS, la premi\u00e8re \u00e9dition de notre Bootcamp \u00ab Intelligence artificiel et observation satellitaire \u00bb. Une semaine intensive d\u00e9di\u00e9e aux m\u00e9thodes d’apprentissage automatique (IA) et \u00e0 leurs applications dans le domaine de la t\u00e9l\u00e9d\u00e9tection spatiale. Ce module de formation innovant est destin\u00e9 aux \u00e9tudiantes et \u00e9tudiants de Master et Doctorat.<\/strong><\/p>\n\n\n\n

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

                Une trentaine d\u2019\u00e9tudiantes et \u00e9tudiants en Master 2 et doctorat, issus de divers \u00e9tablissements franciliens et d\u2019autres r\u00e9gions, ont particip\u00e9 \u00e0 ce programme m\u00ealant conf\u00e9rences, ateliers pratiques et projets encadr\u00e9s. <\/p>\n\n\n\n

                Encadrement par Guillaume Gastineau (LOCEAN), Selviga Sinnathamby (LATMOS), Baptiste Gregorutti (SCAI) et Georges Baaklini (Acad\u00e9mie Spatiale IDF).<\/em><\/p>\n<\/div>\n\n\n\n

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                Retrospective de l’\u00e9dition #1 – 2025<\/h3>\n\n\n\n
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                Lundi 14 avril – Introduction et lancement des projets<\/strong><\/h4>\n\n\n\n
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                \u00a9 Selviga Sinnathamby<\/figcaption><\/figure>\n<\/div>\n\n\n\n
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                • Introduction au machine learning
                  – Erwan Scornet (LPSM, SCAI \u2013 Sorbonne Universit\u00e9)<\/li>\n<\/ul>\n\n\n\n
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                  • Lancement des travaux pratiques : les \u00e9tudiants ont \u00e9t\u00e9 r\u00e9partis en groupes travaillant sur des probl\u00e9matiques environnementales sp\u00e9cifiques telles que la d\u00e9tection de tourbillons, l\u2019identification de nuages, et les interactions entre eaux c\u00f4ti\u00e8res et eaux du large.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n

                    Mardi 15 avril \u2013 Applications \u00e0 l\u2019atmosph\u00e8re<\/strong><\/h4>\n\n\n\n
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                    • Estimation et \u00e9tude des pr\u00e9cipitations par machine learning
                      \u2013 Nicolas Viltard (LATMOS)<\/li>\n<\/ul>\n\n\n\n
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                      • Estimation des temp\u00e9ratures de surface et du thermom\u00e8tre mouill\u00e9
                        \u2013 Sarah Safieddine (LATMOS)<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n

                        Mercredi 16 avril \u2013 Applications \u00e0 l\u2019oc\u00e9an<\/strong><\/h4>\n\n\n\n
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                        • T\u00e9l\u00e9d\u00e9tection du phytoplancton \u2013 Roy Elhouary (LOG)<\/li>\n\n\n\n
                        • Assimilation de donn\u00e9es neuronales pour la quantification des incertitudes oc\u00e9aniques \u2013 Ronan Fablet (IMT Atlantique)<\/li>\n<\/ul>\n\n\n\n
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                          Jeudi 17 avril \u2013 Hydrologie & t\u00e9l\u00e9d\u00e9tection avanc\u00e9e<\/strong><\/h4>\n\n\n\n
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                          • Surveillance du cycle de l\u2019eau par observations satellitaires \u2013 Victor Pellet (LMD)<\/li>\n\n\n\n
                          • Mod\u00e8les fondamentaux pour l\u2019exploitation des donn\u00e9es en t\u00e9l\u00e9d\u00e9tection \u2013 Jocelyn Chanussot (INRIA)<\/li>\n<\/ul>\n\n\n\n

                            Chaque apr\u00e8s-midi, les \u00e9tudiant\u00b7es ont appliqu\u00e9 ces enseignements \u00e0 leurs projets pratiques, en collectant, nettoyant, traitant et analysant des donn\u00e9es satellitaires avec des techniques d\u2019IA. En fin de journ\u00e9e jeudi, chaque groupe a pr\u00e9sent\u00e9 ses r\u00e9sultats et solutions pour relever leurs d\u00e9fis environnementaux.<\/p>\n\n\n\n

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                            \u00a9 Selviga Sinnathamby<\/p>\n\n\n\n

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                            Vendredi 18 avril \u2013 IA pour tous & perspectives de carri\u00e8re<\/strong><\/h4>\n\n\n\n

                            Une journ\u00e9e d\u00e9di\u00e9e aux \u00e9tudiants de Licence 1 et Master 1, avec pr\u00e8s une trentaine de participants, pour d\u00e9couvrir les opportunit\u00e9s offertes par l\u2019intelligence artificielle dans le spatial :<\/p>\n\n\n\n

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                            • Perspectives de l\u2019IA : formations et march\u00e9 de l\u2019emploi \u2013 Caroline Chopinaud (Hub France IA)<\/li>\n\n\n\n
                            • Panorama du secteur spatial \u2013 H\u00e9l\u00e8ne Chepfer (LMD)<\/li>\n\n\n\n
                            • Pr\u00e9vision de l\u2019\u00e9volution de la banquise arctique par IA \u2013 Julien Brajard (NERSC, visioconf\u00e9rence)<\/li>\n\n\n\n
                            • Atelier de pr\u00e9paration et table ronde finale avec des experts IA & spatial : Caroline Chopinaud, Sarah Safieddine et Erwan Scornet.<\/li>\n<\/ul>\n\n\n\n
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                              \u00a9 Selviga Sinnathamby<\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n

                              Cet \u00e9v\u00e9nement a offert aux \u00e9tudiant\u00b7es un cadre privil\u00e9gi\u00e9 d\u2019\u00e9changes directs avec des sp\u00e9cialistes, renfor\u00e7ant leur compr\u00e9hension des enjeux actuels et futurs de l\u2019intelligence artificielle appliqu\u00e9e \u00e0 l\u2019observation spatiale.<\/strong><\/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 14 au 18 avril 2025, nous avons eu le plaisir d’organiser, en collaboration avec le Sorbonne Center for Artificial Intelligence (SCAI) et l’IPSL-CGS, la premi\u00e8re \u00e9dition de notre Bootcamp \u00ab Intelligence artificiel et observation satellitaire \u00bb. Une semaine intensive d\u00e9di\u00e9e aux m\u00e9thodes d’apprentissage automatique (IA) et \u00e0 leurs applications dans le […]<\/p>\n","protected":false},"author":1,"featured_media":2496,"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-9692","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