University of Münster
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Prof.Dr. Hanna Meyer

Current affiliations

  • Professorship of Remote Sensing and Spatial Modelling

Curriculum Vitae (CV)

  • machine learning for spatial data
  • Optical remote sensing
  • Environmental monitoring
  • Spatio-temporal modelling

Academic Education

2014 - 2018PhD student at the Philipps Universität Marburg
2010 - 2013M.Sc. "Environmental Geography - Systems, Processes and Interactions" at the Philipps-Universität Marburg
2007 - 2010B.Sc. Geography at the Philipps-Universität Marburg

Work Experience

since 10/2019Full professor for Remote Sensing and Spatial Modelling, Institute of landscape ecology, WWU Münster
01/2019 - 10/2019Junior professor for Remote Sensing and Image Interpretation, Institute for Geoinformatics, WWU Münster
2013 - 2018Scientific assistant in the working grouo of environmental Informatics, Philipps- Universität Marburg
2015 - 2016Guest scientist at the University of Canterbury, New Zealand

Publications

deadtrees.earth — An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics
Mosig C; Vajna-Jehle J; Mahecha MD; Cheng Y; Hartmann H; Montero D; Junttila S; Horion S; Schwenke MB; Koontz MJ; Maulud KNA; Adu-Bredu S; Al-Halbouni D; Ali M; Allen M; Altman J; Amorós L; Angiolini C; Astrup R; Awada H; Barrasso C; Bartholomeus H; Beck PS; Bozzini A; Braun-Wimmer J; Brede B; Breunig FM; Brugnaro S; Buras A; Burchard-Levine V; Camarero JJ; Candotti A; Capuder L; Carrieri E; Centritto M; Chirici G; Cloutier M; Conciani D; Cushman K; Dalling JW; Dao PD; Dempewolf J; Denter M; Dogotari M; Díaz-Delgado R; Ecke S; Eichel J; Eltner A; Fabbri A; Fabi M; Fassnacht F; Ferreira MP; Fischer FJ; Frey J; Frick A; Fuentes J; Ganz S; Garbarino M; García M; Gassilloud M; Gazol A; Gea-Izquierdo G; Gerberding K; Ghasemi M; Giannetti F; Gillan J; Gonzalez R; Gosper C; Greene T; Greinwald K; Grieve S; Große-Stoltenberg A; Gutierrez JA; Göritz A; Hajek P; Hedding D; Hempel J; Heremans S; Hernández M; Heurich M; Honkavaara E; Höfle B; Jackisch R; Jucker T; Kalwij JM; Kepfer-Rojas S; Khatri-Chhetri P; Kleinebecker T; Klemmt H; Klouček T; Koivumäki N; Kolagani N; Komárek J; Korznikov K; Kraszewski B; Kruse S; Krüger R; Kuechly H; Kwong IH; Laliberté E; Langan L; Latifi H; Leal-Medina C; Lehmann JR; Li L; Lines E; Lisiewicz M; Lopatin J; Lucieer A; Ludwig A; Ludwig M; Lyytikäinen-Saarenmaa P; Ma Q; Mansuy N; Peña JM; Marino G; Maroschek M; Martín M; Martín-Benito D; Matham P; Mazzoni S; Meloni F; Menzel A; Meyer H; Miraki M; Moreno G; Moreno-Fernández D; Muller-Landau HC; Mälicke M; Möhring J; Müllerova J; Naidu SS; Nardi D; Neumeier P; Nita MD; Näsi R; Oppgenoorth L; Orunbaev S; Palmer M; Paul T; Pfenning M; Potts A; Prasanna GL; Prober S; Puliti S; Pérez-Luque AJ; Pérez-Priego O; Reudenbach C; Revuelto J; Rivas-Torres G; Roberge P; Roggero PP; Rossi C; Ruehr NK; Ruiz-Benito P; Runge CM; Satta GGA; Scanu B; Scherer-Lorenzen M; Schiefer F; Schiller C; Schladebach J; Schmehl M; Schmid J; Schmidt TA; Schwarz S; Seidl R; Seifert T; Barba AS; Shafeian E; Shapiro A; {de Simone} L; Sohrabi H; Soltani S; Sotomayor L; Sparrow B; Steer BS; Stenson M; Stöckigt B; Su Y; Suomalainen J; Tamudo E; Barbieri MJT; Tomelleri E; Torresani M; Trepekli K; Ullah S; Ullah S; Umlauft J; Vargas-Ramírez N; Vatandaslar C; Visacki V; Volpi M; Vásquez V; Wallis C; Weinstein B; Weiser H; Wich S; Ximena TC; Zarco-Tejada PJ; Zdunic K; Zielewska-Büttner K; {de Oliveira} RA; {van Wagtendonk} L; {von Dosky} V; Kattenborn T (2026)
In: Remote Sensing of Environment, 332, 115027-115027. doi:10.1016/j.rse.2025.115027
Research article (journal) | Peer reviewed | Published
Gated recurrent units for modelling time series of soil temperature and moisture: An assessment of performance and process reflectivity
Baumberger M; Haas B; Tewes W; Risse B; Meyer N; Meyer H (2025)
In: Environmental Modelling and Software, 183, 106245-106245. doi:10.1016/j.envsoft.2024.106245
Research article (journal) | Peer reviewed | Published
Recent trends in moisture conditions across European peatlands
Giese L; Baumberger M; Ludwig M; Schneidereit H; Sánchez E; Robroek BJ; Lamentowicz M; Lehmann J; Hölzel N; Knorr K; Meyer H (2025)
In: Remote Sensing Applications: Society and Environment, 37, 101385-101385. doi:10.1016/j.rsase.2024.101385
Research article (journal) | Peer reviewed | Published
Habitat Suitability of the Sand Lizard (Lacerta agilis) at Its Distribution Limit—An Analysis Based on Citizen Science Data and Machine Learning
Krämer, Alina; Meyer, Hanna; Buchholz, Sascha (2025)
In: Journal of Biogeography, 52, e15099. doi:10.1111/jbi.15099
Research article (journal) | Peer reviewed | Published
Accurate Mapping of Downed Deadwood in a Dense Deciduous Forest Using UAV-SfM Data and Deep Learning
Dietenberger S; Mueller MM; Stöcker B; Dubois C; Arlaud H; Adam M; Hese S; Meyer H; Thiel C (2025)
In: Remote Sensing, 17(9). doi:10.3390/rs17091610
Research article (journal) | Peer reviewed | Published
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Projects

CRC TRR 391 - A05: Deep learning in space and time
Duration: 01/10/2024 - 30/06/2028 | 1st Funding period
Funded by: DFG - Collaborative Research Centre
Type of project: Subproject in DFG-joint project hosted outside University of Münster
Preservation and RecognItion of Spatial patterns using Machine learning (PRISM)
Duration: 14/08/2024 - 13/08/2026
Funded by: EC Horizon Europe - Marie Skłodowska-Curie Actions - Postdoctoral Fellowship
Type of project: EU-project hosted at University of Münster
Quantifying and modelling peat breathing with satellite radar data
Duration: 01/08/2023 - 31/07/2027
Funded by: Uni Münster-internal funding - Collaboration Grant for Young Researchers
Type of project: Internally at the University of Münster funded project
SPP 1374 - Subproject: Learning from the Exploratories to make prediction beyond them: AI-based mapping and explanation of grassland biodiversity and ecosystem… (BEyond)
Duration: 01/08/2023 - 30/07/2026 | 1st Funding period
Funded by: DFG - Priority Programme
Type of project: Subproject in DFG-joint project hosted outside University of Münster
Restoring peatlands of the nemoral zone under conditions of varying water supply and quality (ReVersal)
Duration: 01/03/2022 - 28/02/2025
Funded by: DFG - BiodivERsA (ERA-Net Cofunds)
Type of project: Individual project
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Talks

Machine learning-based global maps of ecological variables and the challenge of assessing them
Meyer, Hanna (10/05/2022)
ELLIS Seminars on Machine Learning for Earth and Climate Sciences, Online
Type of talk: scientific talk
Machine learning as a tool to “map the world” ? On remote sensing and predictive modelling for environmental monitoring (Keynote)
Meyer, Hanna (04/03/2020)
17th Biodiversity Exploratories Assembly, Wernigerode, Germany
Type of talk: scientific talk
Machine learning applications in environmental remote sensing – Moving from data reproduction to spatial prediction
Meyer, Hanna (03/02/2020)
Workshop: Machine Learning in Earth system science , German Climate Computing Center (DKRZ) Hamburg, Germany
Type of talk: scientific talk
Remote sensing and machine learning in landscape ecology - Moving from field observations to maps of ecosystem variables
Meyer, Hanna (26/11/2019)
Kolloquium Ökologie, Naturschutz, Biodiversität, Philipps Universität Marburg, Marburg, Germany
Type of talk: scientific talk
Machine learning applications in environmental remote sensing – Moving from data reproduction to spatial prediction
Meyer, Hanna (05/11/2019)
The 1st Artificial Intelligence for Copernicus Workshop, ECMWF, Reading, UK
Type of talk: scientific talk
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