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Oliver Schütte, M. Sc.
Wachsbleiche 27
49076 Osnabrück
Raum: 50/412a
Tel.: +49 541 969-7488
Fax: +49 541 969-2799
oliver.schuette@uni-osnabrueck.de
Hello everyone, my name is Oliver Schütte and I am interested in using advanced deep learning approaches for LULC classification same as instance segmentation, especially in the field of agriculture and urban vegetation (urban trees). In the ECORISK Research Training Group I am working on the sub-project "Mapping land management archetypes by multisensor remote sensing data and machine learning". In this project, I will be using freely available satellite data to classify agricultural land management archetypes in aquatic ecosystems. This research will help to understand how regime shifts and systemic risks emerge in response to agricultural land use. For more information see www2.uni-osnabrueck.de/ecorisk/
Lebenslauf
Academic Qualification
| Since 01/2025 | University of Osnabrück PhD Student |
| 02/2023 – 11/2024 | University of Osnabrück Master of Science Geoinformatics Thesis „Mapping of Urban Vegetation with High-Resolution Remote Sensing |
| 10/2018 – 05/2023 | University of Osnabrück Dual-Bachelor of Science Geoinformatics & Environmental System Sciences Thesis „Abschätzung des Waldbrandrisikos anhand von frei verfügbaren |
Research and Work Experiences
| Since 01/2025 | University of Osnabrück, Institute of Computer Science, Working Group Remote Sensing and Digital Image Analysis Research Associate Reseach Associate in the ECORISK Research Training Group working on the sub-project "Mapping land management archetypes by multisensor remote sensing data and machine learning" |
| 04/2024 – 12/2024 | University of Osnabrück, Institute of Computer Science, Working Group Remote Sensing and Digital Image Analysis Student Assistant Project "Landscape Element Detection using Deep Learning and EnMAP Data (MeMoBa)" - Assistance in carrying out drone flights and collection of training data |
| 04/2023 – 03/2024 | University of Osnabrück, Institute of Computer Science, Working Group Remote Sensing and Digital Image Analysis Student Assistant Project "Agri-Gaia" - Performing field work and analysing UAV data using remote sensing software |
| 10/2022 – 12/2022 | Prowind GmbH Study Internship Intern in the field of scouting for the project planning of wind turbines |
| 03/2021 – 06/2022 | University of Osnabrück, Institute of Computer Science, Working Group Remote Sensing and Digital Image Analysis Student Assistant Project "Agri-Gaia" - Performing field work and analysing UAV data using remote sensing software |
