WWU MünsterInstitute of Landscape EcologyRemote Sensing and Spatial Modelling Research Group
  • zum Inhalt
  • zur Hauptnavigation
  • zur Subnavigation
  • de
  • en
  • Home
  • Team
  • Teaching
  • Research
  • Publications
  • GEO1COPTER
  • Home
    • Team
      • Prof. Dr. Hanna Meyer
  • Prof. Dr. Hanna Meyer
  • Dr. Jan Lehmann
  • Maite Lezama Valdes
  • Marvin Ludwig
  • Student Assistants
  • Guests
© Hanna Meyer

Prof. Dr. Hanna Meyer

Remote Sensing and Spatial Modelling Research Group
Institute of Landscape Ecology
Heisenbergstr. 2, D-48149 Münster
room 510
phone +49(0)251-83 30 097
fax +49(0)251-83 38 338
e-mail hanna.meyer [at] uni-muenster.de
Github: https://github.com/HannaMeyer
Twitter: https://twitter.com/hanna123987

office hours on appointment

  • Research Areas

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

    Education

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

    Positions

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

    Summer Term 2021

    • Praktische Übung: P Remote sensing based analysis of environmental change [144590]
      (in cooperation with Lilian-Maite Lezama Valdes)
      [13.04.2021 - 20.07.2021 | 14:00 - 16:00 | wöchentlich | Di. | StudLab GEO1 125 | Prof. Dr. Hanna Meyer]
    • Übung: R als GIS [144618]
      [15.04.2021 - 22.07.2021 | 16:00 - 18:00 | wöchentlich | Do. | StudLab GEO1 130 | Prof. Dr. Hanna Meyer]
    • Übung: Ü Remote sensing methods in landscape ecology B [144570]
      [12.04.2021 - 19.07.2021 | 14:00 - 16:00 | wöchentlich | Mo. | StudLab GEO1 130 | Prof. Dr. Hanna Meyer]
    • Übung: Ü Remote sensing methods in landscape ecology A [144569]
      [12.04.2021 - 19.07.2021 | 10:00 - 12:00 | wöchentlich | Mo. | StudLab GEO1 126 | Prof. Dr. Hanna Meyer]
    • Seminar: Ü Acquisition and analysis of UAS-based image data [144644]
      (in cooperation with Lilian-Maite Lezama Valdes)
      [12.04.2021 - 19.07.2021 | 16:00 - 18:00 | wöchentlich | Mo. | GEO1 513 | Lilian-Maite Lezama Valdes]
    • Seminar: S Humans and the Environment [144625]
      [15.04.2021 - 22.07.2021 | 12:00 - 14:00 | wöchentlich | Do. | GEO1 242 | Prof. Dr. Hanna Meyer]
    • Vorlesung: Einführung in die Fernerkundungsmethoden in den Geowissenschaften - Vorlesung [144843]
      (in cooperation with Dr. Torsten Prinz)
      [13.04.2021 - 20.07.2021 | 08:00 - 10:00 | wöchentlich | Di. | GEO1 H�rsaal | Prof. Dr. Hanna Meyer]

    Winter Term 2020/21

    • Projektveranstaltung: P Remote sensing of ecosystems [142715]
      [n. V. | Prof. Dr. Hanna Meyer]
    • Praktikum/Seminar: S Landschaftsökologische GIS&Fernerkundungsprojekte [142717]
      (in cooperation with Lilian-Maite Lezama Valdes)
      [03.11.2020 - 10.11.2020 | 10:00 - 12:00 | wöchentlich | Di. | GEO1 401 | Lilian-Maite Lezama Valdes]
      [02.02.2021 - 09.02.2021 | 10:00 - 12:00 | wöchentlich | Di. | GEO1 401 | Lilian-Maite Lezama Valdes]
    • Seminar: S Current topics of environmental remote sensing [142729]
      [03.11.2020 - 09.02.2021 | 14:00 - 16:00 | wöchentlich | Di. | GEO1 401 | Prof. Dr. Hanna Meyer]
    • Seminar: S Humans and the Environment [142736]
      [02.11.2020 - 08.02.2021 | 10:00 - 12:00 | wöchentlich | Mo. | Prof. Dr. Hanna Meyer]
    • Vorlesung/Praktikum: V/Ü Remote sensing and machine learning for spatial monitoring of environmental variables [142728]
      [02.11.2020 - 08.02.2021 | 16:00 - 18:00 | wöchentlich | Mo. | Prof. Dr. Hanna Meyer]
      [06.11.2020 - 12.02.2021 | 10:00 - 12:00 | wöchentlich | Fr. | StudLab GEO1 125 | Prof. Dr. Hanna Meyer]
      [Fr., 13.11.2020, 10:00 - 12:00 | GEO1 513 | Prof. Dr. Hanna Meyer]

    Summer Term 2020

    • Übung: Ü Fernerkundungsmethoden in den Geowissenschaften für Landschaftsökologen Kurs B [140647]
    • Übung: Ü GIS and remote sensing project [140646]
      (in cooperation with Lilian-Maite Lezama Valdes)
    • Übung: S Remote sensing and machine learning for spatial monitoring of environmental variables [140667]
    • Seminar: S Humans and the Environment [140602]
    • Vorlesung: Einführung in die Fernerkundungsmethoden in den Geowissenschaften - Vorlesung [140762]
      (in cooperation with Dr. Torsten Prinz)
  • Projects

    • Carbon4D - Carbon4D: A landscape-scale model of soil organic carbon mineralization in space, depth, and time (2021 - 2024)
      Third-party funding : DFG - Individual Grants Programme | Project Number: ME 5512/2-1
    • Uebersat - Spatio-temporal transferability of satellite-based AI-models (2021 - 2023)
      Third-party funding : Federal Ministry of Economic Affairs and Energy | Project Number: 50EE2009
  • Publications

    • Articles in Journals
    • Articles in Edited Books
    • Other Publications (technical specifications, informal publications)

    Articles in Journals

    2020
    • Hess B, Dreber N, Liu Y, Wiegand K, Ludwig M, Meyer H, Meyer KM. 2020. ‘PioLaG: a piosphere landscape generator for savanna rangeland modelling.’ Landscape Ecology 2020. doi: 10.1007/s10980-020-01066-w.
    • Petermann E, Meyer H, Nussbaum M, Bossew P. 2020. ‘Mapping the geogenic radon potential for Germany by machine learning.’ Science of The Total Environment 142291: 142291. doi: https://doi.org/10.1016/j.scitotenv.2020.142291. [Accepted]
    • Schumacher B, Katurji M, Meyer H, Appelhans T, Otte I, Nauss T. 2020. ‘Atmospheric moisture pathways of East Africa and implications for water recycling at Mount Kilimanjaro.’ International Journal of Climatology 2020. doi: https://doi.org/10.1002/joc.6468.
    2019
    • Lehnert LW, Meyer H, Obermeier WA, Silva B, Regeling B, Bendix J. 2019. ‘Hyperspectral Data Analysis in R: The hsdar Package.’ Journal of Statistical Software 89, No. 12. doi: 10.18637/jss.v089.i12.
    • Ludwig M, Morgenthal T, Detsch F, Higginbottom TP, Lezama Valdes M, Nauß T, Meyer H. 2019. ‘Machine learning and multi-sensor based modelling of woody vegetation in the Molopo Area, South Africa.’ Remote Sensing of Environment 222: 195 - 203. doi: https://doi.org/10.1016/j.rse.2018.12.019.
    • Ludwig M, Morgenthal T, Detsch F, Higginbottom TP, Lezama Valdes M, Nauß T, Meyer H. 2019. ‘Machine learning and multi-sensor based modelling of woody vegetation in the Molopo Area, South Africa.’ Remote Sensing of Environment 222: 195-203. doi: 10.1016/j.rse.2018.12.019.
    • Meyer H, Reudenbach C, Wöllauer S, Nauss T. 2019. ‘Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction.’ Ecological Modelling 411: 108815. doi: https://doi.org/10.1016/j.ecolmodel.2019.108815.
    • Meyer H, Schmidt J, Detsch F, Nauss T. 2019. ‘Hourly gridded air temperatures of South Africa derived from MSG SEVIRI.’ International Journal of Applied Earth Observation and Geoinformation 78: 261 - 267. doi: https://doi.org/10.1016/j.jag.2019.02.006.
    2018
    • Higginbottom TP, Symeonakis E, Meyer H, Linden S. 2018. ‘Mapping fractional woody cover in semi-arid savannahs using multi-seasonal composites from Landsat data.’ ISPRS Journal of Photogrammetry and Remote Sensing 139: 88 - 102. doi: https://doi.org/10.1016/j.isprsjprs.2018.02.010.
    • Meyer H, Reudenbach C, Hengl T, Katurji M, Nauss T. 2018. ‘Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation.’ Environmental Modelling & Software 101: 1 - 9. doi: https://doi.org/10.1016/j.envsoft.2017.12.001.
    • Meyer N, Meyer H, Welp G, Amelung W. 2018. ‘Soil respiration and its temperature sensitivity (Q10): Rapid acquisition using mid-infrared spectroscopy.’ Geoderma 323: 31 - 40. doi: https://doi.org/10.1016/j.geoderma.2018.02.031.
    • Wang Y, Lehnert LW, Holzapfel M, Schultz R, Heberling G, Görzen E, Meyer H, Seeber E, Pinkert S, Ritz M, Fu Y, Ansorge H, Bendix J, Seifert B, Miehe G, Long R, Yang Y, Wesche K. 2018. ‘Multiple indicators yield diverging results on grazing degradation and climate controls across Tibetan pastures.’ Ecological Indicators 93: 1199 - 1208. doi: https://doi.org/10.1016/j.ecolind.2018.06.021.
    2017
    • Messenzehl K, Meyer H, Otto J, Hoffmann T, Dikau R. 2017. ‘Regional-scale controls on the spatial activity of rockfalls (Turtmann Valley, Swiss Alps) — A multivariate modeling approach.’ Geomorphology 287: 29 - 45. doi: https://doi.org/10.1016/j.geomorph.2016.01.008.
    • Meyer H, Drönner J, Nauss T. 2017. ‘Satellite-based high-resolution mapping of rainfall over southern Africa.’ Atmospheric Measurement Techniques 10, No. 6: 2009-2019. doi: 10.5194/amt-10-2009-2017.
    • Meyer H, Kühnlein M, Reudenbach C, Nauss T. 2017. ‘Revealing the potential of spectral and textural predictor variables in a neural network-based rainfall retrieval technique.’ Remote Sensing Letters 8, No. 7: 647-656. doi: 10.1080/2150704X.2017.1312026.
    • Meyer H, Lehnert LW, Wang Y, Reudenbach C, Nauss T, Bendix J. 2017. ‘From local spectral measurements to maps of vegetation cover and biomass on the Qinghai-Tibet-Plateau: Do we need hyperspectral information?’ Int. J. Appl. Earth Obs. Geoinf. 55: 21-31. doi: 10.1016/j.jag.2016.10.001.
    2016
    • Ludwig A, Meyer H, Nauss T. 2016. ‘Automatic classification of Google Earth images for a larger scale monitoring of bush encroachment in South Africa.’ Int. J. Appl. Earth Obs. Geoinf. 50: 89-94. doi: 10.1016/j.jag.2016.03.003.
    • Meyer H, Katurji M, Appelhans T, Müller MU, Nauss T, Roudier P, Zawar-Reza P. 2016. ‘Mapping Daily Air Temperature for Antarctica Based on MODIS LST.’ Remote Sensing 8, No. 9. doi: 10.3390/rs8090732.
    • Meyer H, Kühnlein M, Appelhans T, Nauss T. 2016. ‘Comparison of four machine learning algorithms for their applicability in satellite-based optical rainfall retrievals.’ Atmos. Res. 169, Part B: 424-433. doi: 10.1016/j.atmosres.2015.09.021.
    2015
    • Gasch CK, Hengl T, Gräler B, Meyer H, Magney TS, Brown DJ. 2015. ‘Spatio-temporal interpolation of soil water, temperature, and electrical conductivity in 3D + T: The Cook Agronomy Farm data set.’ Spatial Statistics 14, Part A: 70-90.
    • Lehnert LW, Meyer H, Wang Y, Miehe G, Thies B, Reudenbach C, Bendix J. 2015. ‘Retrieval of grassland plant coverage on the Tibetan Plateau based on a multi-scale, multi-sensor and multi-method approach.’ Remote Sens. Environ. 164: 197-207. doi: 10.1016/j.rse.2015.04.020.
    2014
    • Lehnert L, Meyer H, Meyer N, Reudenbach C, Bendix J. 2014. ‘A hyperspectral indicator system for rangeland degradation on the Tibetan Plateau: A case study towards spaceborne monitoring.’ Ecol. Indic. 39: 54-64. doi: 10.1016/j.ecolind.2013.12.005.
    • Thies B, Meyer H, Nauss T, Bendix J. 2014. ‘Projecting land-use and land-cover changes in a tropical mountain forest of Southern Ecuador.’ Journal of Land Use Science 9, No. 1: 1-33.

    Articles in Edited Books

    • Peters T, Drobnik T, Meyer H, Rankl M, Richter M, Rollenbeck R, Thies B, Bendix J. 2013. ‘Environmental changes affecting the Andes of Ecuador.’ In Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador, edited by Bendix J, Beck E, Bräuning A, Makeschin F, Mosandl R, Scheu S, Wilcke W, 19-29. Springer. doi: 10.1007/978-3-642-38137-9_2.
    • Roos K, Bendix J, Curatola G, Gawlik J, Gerique A, Hamer U, Hildebrandt P, Knoke T, Meyer H, Pohle P, Potthast K, Thies B, Tischer A, Beck E. 2013. ‘Current provisioning services: pasture development and use, weeds (bracken) and management.’ In Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador, edited by Bendix J, Beck E, Bräuning A, Makeschin F, Mosandl R, Scheu S, Wilcke W, 205-218. Springer. doi: 10.1007/978-3-642-38137-9_15.
    • Windhorst D, Silva B, Peters T, Meyer H, Thies B, Bendix J, Frede H, Breuer L. 2013. ‘Impacts of local land-use change on climate and hydrology.’ In Ecosystem services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador, edited by Bendix J, Beck E, Bräuning A, Makeschin F, Mosandl R, Scheu S, Wilcke W, 275-286. Spr. doi: 10.1007/978-3-642-38137-9_20.

    Other Publications (technical specifications, informal publications)

    2018
    • Meyer H, Reudenbach C, Nauss T. 2018. CAST: 'caret' Applications for Spatial-Temporal Models. R package version 0.1.0..
    • Reudenbach C, Meyer H. 2018. uavRst: Unmanned Aerial Vehicle Remote Sensing Tools. R package version 0.5-2..
    2016
    • Lehnert L.W, Meyer H, Bendix J. 2016. hsdar: Manage, analyse and simulate hyperspectral data in R. R package version 0.5.1..
    2015
    • Nauss T, Meyer H, Detsch F, Appelhans T. 2015. Manipulating satellite data with satellite. R package version 1.0.0..
  • Talks

    • Meyer, Hanna (2020): ‘Machine learning as a tool to “map the world” ? On remote sensing and predictive modelling for environmental monitoring (Keynote)’. 17th Biodiversity Exploratories Assembly, Wernigerode, Germany, 04/03/2020.
    • Meyer, Hanna (2020): ‘Machine learning applications in environmental remote sensing – Moving from data reproduction to spatial prediction’. Workshop: Machine Learning in Earth system science , German Climate Computing Center (DKRZ) Hamburg, Germany, 03/02/2020.
    • Meyer, Hanna (2019): ‘Remote sensing and machine learning in landscape ecology - Moving from field observations to maps of ecosystem variables’. Kolloquium Ökologie, Naturschutz, Biodiversität, Philipps Universität Marburg, Marburg, Germany, 26/11/2019.
    • Meyer, Hanna (2019): ‘Machine learning applications in environmental remote sensing – Moving from data reproduction to spatial prediction’. The 1st Artificial Intelligence for Copernicus Workshop, ECMWF, Reading, UK, 05/11/2019.
    • Meyer, Hanna (2018): ‘’. Kolloquium Geoinformatik, Friedrich-Schiller-Universität Jena, Jena, Germany, 07/11/2018.

    Contact

    University of Münster
    Remote Sensing and Spatial Modelling Research Group

    Heisenbergstraße 2
    D-48149 Münster

    Tel: +49 251 83-30 097
    Fax: +49 251 83-38 338
    hanna.meyer [at] uni-muenster.de
    living.knowledge
    WWU Münster
    • Legal Disclosure
    • Privacy Statement
    • Accessibility

    © 2021 Remote Sensing and Spatial Modelling Research Group - Institute of Landscape Ecology - WWU Münster