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Implementation of a service solution to automate the storage and retrieval of satellite data used by Geotree / Maeve Blarel (2023)

Public Titre : Implementation of a service solution to automate the storage and retrieval of satellite data used by Geotree : Scaling and refining Earth Observation data processing for nature-based solutions development Type de document : Mémoire Auteurs : Maeve Blarel, Auteur Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Année de publication : 2023 Importance : 97 p. Format : 21 x 30 cm Note générale : bibliographie Rapport de fin d'étude, cycle des Ingénieurs diplômés de l’ENSG 3ème année, Spécialité TSI Langues : Anglais (eng) Descripteur : [Termes IGN] carbone [Termes IGN] gaz à effet de serre [Termes IGN] Python (langage de programmation) [Termes IGN] système de gestion de base de données [Termes IGN] télédétection Mots-clés libres : Cloud  CO2  Docker  Gaz à Effet de Serre  Git  Marché du carbone  Python  Serviced’API  SGBD  Standard STAC  Télédétection  Traitement des données Index. décimale : MTSI Mémoires du Master Technologies des Systèmes d'Information Résumé : Carried out at Geotree, in Austria, and in collaboration with Mantle Labs, this Final Year Project (FWP) is part of the problem of scaling up and perfecting the processing of Earth observation data for the development of nature-based solutions. Geotree and MantleLabs are working together on Earth monitoring projects as part of the carbon market. With its extensive expertise in remote sensing, Geotree deploys a digital twin of the Earth that unlocks nature-based solutions.For its part, Mantle Labs is contributing its extensive experience in the use of satellite data, with the help of an international team. Through its cutting-edge tools for monitoring and verifying carbon sinks, Geotree provides scientific support for this market. The aim of this internship was to implement a service solution to automate the storage and retrieval of satellite data, central to Geotree. Indeed, quick and easy access to a large amount of data is becoming a common need. After an analysis phase of the STAC data standard, the work on this project consisted of developing an IT solution for the management and storage of satellite data. There are a number of prospects for this project. Finalising the deployment of the API on the Cloud receiving the solution is essential for its future use by the company’s team of data scientists. On the other hand, this API will be able to accommodate more different data (not standardised by STAC) and other functions (read function). Note that the Python codes, functional and commented, implemented during the internship is accessible via the Github continuous integration platform, but remains the property of Geotree. Con?sequently, no script from the source code will be presented in this report. Note de contenu : Introduction 1. Internchip presentation 2. STAC standard 3. Solution architecture 4. Project management Conclusion Numéro de notice : 24172 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Mémoire de fin d'études IT Organisme de stage : Geotree / Mantle Labs (Vienne) Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103729