PhD student
Room 2.0.EG.13
E-Mail: lisa.mandl (at) tum.de
Tel.: 08161-71 4373
Fax: 08161-71 4616
Research interests
- Opitcal and active remote sensing
- Spatiotemporal analyses
- Knowledge- & data-driven models
- Landscape ecology
Selected publications
Mandl, L., Stritih, A., Seidl, R., Ginzler, C., Senf, C. (2023) Spaceborne LiDAR for characterizing forest structure across scales in the European Alps. Remote Sensing in Ecology and Conservation, 9, 599-614. Link
Mandl, L., Lang, S. (2023) Uncovering Early Traces of Bark Beetle Induced Forest Stress via Semantically Enriched Sentinel-2 Data and Spectral Indices (2023). Journal of Photogrammetry, Remote Sensing and Geoinformation Science 91, 211-231. Link
CV
| Since 2024 | PhD student at the Professorship of Earth Observation for Ecosystem Management, Technical University of Munich |
| Since 2022 | PhD student at the Chair of Ecosystem Dynamics and Forest Management, Technical University of Munich |
| 2019-2021 | Master of Science in applied geo-informatics, University of Salzburg |
| Since 2018 | Scientists at Berchtesgaden National Park |
| 2015-2018 | Bachelor of Science in Geography, Ludwig-Maximilians-Universität Munich |