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Geissler, Joschka

 

Wissenschaftlicher Angestellter

M.Sc.

Professur für Hydrologie
Albert-Ludwigs-Universität Freiburg
Friedrichstraße 39
79098 Freiburg

Tel: 0761 - 203 3529
E-Mail: geissler.gif
Raum-Nr: 01.018

Joschka Geissler

 

LINKEDIN

 

RESEARCH INTERESTS

Remote Sensing | GIS | Snow hydrology | Modelling | Environmental sciences

 

EDUCATION

since 2020 PhD student at the Chair of Hydrology, Faculty of Environment and Natural Resources,
University of Freiburg
2016 2019 M.Sc. Environmental Engineering; Minors: Remote Sensing, GIS, Hydrology, Modelling,
Environmental Sciences; TU Darmstadt
2012 – 2016 B.Sc. Environmental Engineering; TU Darmstadt

 

THESIS

2019 M.Sc. thesis: Multitemporal 3D-change analysis generated from aerial photographs to detect potential natural hazards in the Alps
2016 B.Sc. thesis: Implementation of Geodata – Workflows using FME Technology

 

INTERNATIONAL EXPERIENCES

2017 – 2018 Study exchange to EPFL, Lausanne, Switzerland
2015 Remote Sensing project on erosion in Brazil; UNESP Ilha Solteira

 

EMPLOYMENTS

2019 Research Associate, 3DRM GmbH Munich
2018 – 2019 Research Associate, Faculty Remote Sensing & Image Analysis, TU Darmstadt
2015 – 2017 Tutor, Faculty for Geodetic Surveying Systems, TU Darmstadt

 

PUBLICATIONS

Geissler, J.., Rathmann, L., & Weiler, M. (2023): Combining daily sensor observations and spatial LiDAR data for mapping snow water equivalent in a sub-alpine forest. Water Resources Research, 59, e2023WR034460. https://doi.org/10.1029/2023WR034460

Geissler, J., Mayer, C., Jubanski, J., Münzer, U., and Siegert, F.: Analyzing glacier retreat and mass balances using aerial and UAV photogrammetry in the Ötztal Alps, Austria, The Cryosphere, 15, 3699–3717, https://doi.org/10.5194/tc-15-3699-2021, 2021.

Rathmann, Lars., Geissler, J., Reiterer, A.: Concept for a novel airborne LiDAR system combining high-resolution snow height mapping with co-registered spatial information on the water content of the snowpack, Proc. SPIE 11785, Multimodal Sensing and Artificial Intelligence: Technologies and Applications II, 1178513, https://doi.org/10.1117/12.2591815, 2021.

 

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