Tim Landwehr, M. Sc.

Wachsbleiche 27
49076 Osnabrück

Raum: 50/416d
Tel.: +49 541 969-3923
Fax: +49 541 969-2799
tim.landwehr@uni-osnabrueck.de
Homepage: https://www.informatik.uni-osnabrueck.de/arbeitsgruppen/fernerkundung_und_digitale_bildverarbeitung/team/landwehr_tim.html

My research centres on the methodological transfer of transformer models to remote sensing applications. Here, the main focus is on large-scale subpixel analysis of forest fractions. A second aim of my research concentrates on the analysis of the behaviour of validation metrics for imbalanced classes.

Lebenslauf

Academic qualification:

Since 05/2023 - PhD Student at University Osnabrueck

2020 to 2023 - Master of Science Geoinformatics at University Osnabrueck

2016 to 2020 - Dual-Bachelor Geoinformatics & Geography at University Osnabrueck

Research and work experience:

Since 05/2023 - Research Associate “Remote Sensing and Image Analysis”

2020 to 2023 - Project “Agri-Gaia” & Project “Agro-Nordwest Experimental Field”

2019 to 2023 - Teaching “Introduction: Remote Sensing and Digital Image Processing”

Veröffentlichungen

Peer-Reviewed Papers:

Landwehr, T., Dasgupta, A., & Waske, B. (2024): Towards robust validation strategies for EO flood maps. Remote Sensing of Environment, 315, 114439. ScienceDirect

Posters / Conference presentations:

Landwehr, Tim; Waske, Björn (2025): Regression-based Subpixel Mapping: Towards Global Forest Monitoring by Transformers. Poster presented at the: ESA Living Planet Symposium; Juni 2025; Vienna, AUT. ResearchGate

Landwehr, Tim; Dasgupta, Antara; Waske, Björn (2025): Can I Trust my Flood Maps? A Comprehensive Analysis of Validation Strategies. Poster presented at the: ESA Living Planet Symposium; Juni 2025; Vienna, AUT. ResearchGate 

Landwehr, Tim; Lößl, Clara; Dasgupta, Antara; Waske, Björn (2022): When Crisis Converge: Understanding the Impact of Floods on COVID-19 Infection Rates. Poster presented at the: ESA Living Planet Symposium; May 2022; Bonn, GER. ResearchGate

Lößl, Clara; Landwehr, Tim; Dasgupta, Antara; Waske, Björn (2022): Dealing with Training Data Paucity: One-class versus Binary Classifiers for SAR-based Flood Detection. Poster presented at the: ESA Living Planet Symposium; May 2022; Bonn, GER. ResearchGate

Lehrveranstaltungen