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| Id | 433 |
| Auteur | Chafter Asma |
| Titre | Land use mapping in the Geneva region using Data Cube and Machine Learning |
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| Résumé | |
| Summary | This work was carried out as part of an internship at UNEP/Grid-Geneva with a view to obtaining a complementary certificate in geomatics at the University of Geneva. The aim of this work is to map Land Use using Data Cube and Machine Learning. The project involves exploring the use of Amazon Web Services (AWS) and testing the SITS (Satellite Image Time Series Analysis on Earth Observation Data Cubes) model to generate detailed land-use maps for the canton of Geneva. Land Use data is one of the crucial datasets in geospatial data. Geospatial data is produced from satellite imagery. In Switzerland, these data are supplied by the Federal Statistical Office and are produced by photointerpretation on a 100mX100m grid. |
| Volee | 2023 |
| Soutenance | 2024-01-29 |
| Sujet | Land use, Land cover, mapping, remote sensing, Data Cube, Machine Learning |
| Url 1 | Mémoire de stage disponible sur demande (admincg) |
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