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Faculty Members
Manuel Reese, M. Sc.
Institut für Informatik
Wachsbleiche 27
49090 Osnabrück
Room: 50/412a
Tel.: +49 541 969-7496
Fax: +49 541 969-2799
manreese@uni-osnabrueck.de
- UAV based landscape diversity monitoring
- Development of sustainable and future-oriented methods for agriculture
- Elaboration of possible applications of deep learning methods
CV
University of Osnabrück PhD Student Geoinformatics University of Osnabrück Master of Science Geoinformatics Harokopio University of Athens Semester abroad within the ERASMUS+ program University of Münster Bachelor of Science Geography University of Osnabrück Institute of Computer Science, Working Group Remote Sensing and Digital Image Analysis University of Osnabrück Institute of Computer Science, Working Group Remote Sensing and Digital Image Analysis University of Osnabrück Institute of Computer Science, Working Group Remote Sensing and Digital Image Analysis EFTAS Fernerkundung & Technologietransfer GmbH Münster Project staffAcademic Qualification since 2022 2019 - 2022 2015 - 2016 2013 - 2017
Bachelorthesis: “Identitäts- und Raumkonstruktionen in neurechtem Journalismus. Eine Diskursanalyse”Research and Work Experiences since 07/2023
Research assistant, Project MeMoBa03/2021 - 06/2023
Research assistant, Project Carpe Memoriam03/2020 – 02/2021
Student assistant, Project SOIL-DE04/2018 – 09/2019
Publications
Reese, M. and Waske, B. (2025): Detection and Biclass Differentiation of Landscape Elements using Sentinel-2. In proceedings of 2025 Living Planet Symposium, Vienna, Austria, 22-27 June 2025
Reese, M. and Waske, B. (2024): An Integrated Approach for Landscape Element Detection and Characterization using Sentinel-2 AND EnMAP Data," IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 7849-7852, doi: https://10.1109/IGARSS53475.2024.10640510
Reese, M., Dasgupta, A., Waske, B. (2024): Farmland quality assessment using deep learning and UAVs. Remote Sensing Applications: Society and Environment, doi: https://doi.org/10.1016/j.rsase.2024.101235
Hänel, T., Reese, M., Pöttker, M., Jarmer, T., Aschenbruck, N. (2023): Evaluating the Potential of Multispectral Sensor Networks based on Deployments in Wheat Fields. 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS), Toronto, ON, Canada, 2023, pp. 557-565, doi: https://10.1109/MASS58611.2023.00075
Reese, M., Pöttker, M., Hänel, T. and Jarmer, T. (2022): Assessing the suitability of different sensor types for deriving soil related differences in plant characteristics. In proceedings of 2022 Living Planet Symposium, Bonn, Germany, 23-27 May 2022
