Dr. Jan R.K. Lehmann


Research Group Applied Landscape Ecology and
Ecological Planning
Institute of Landscape Ecology
Heisenbergstr.2, 48149 Münster


Room: 215
Phone: +49(0)251-83 30 129
Fax: +49(0)251-83 38 338
E-Mail: jan.lehmann [at] uni-muenster.de

Consulting hours: On appointment via e-mail

Tasks at the WWU/ department/ institute

  • Research assistant at the institute of landscape ecology (ILÖK)
  • Leading member of the ifgi-Copter Research Group
  • Research-Member  in the INSPECTED.NET project (2012-2016)
  • Responsible for the use of " Unmanned Aerial Vehicles" (Skywalker 2014 and Microdrone MD-1000) and the associated camerasystems (a.o. Tetracam Mini-MCA)
  • Responsible for remote sensing software focussing on Image-processing and Analysis (AgiSoft, Pix4D, eCognition)

  • Curriculum vitae

    10/2017

    Graduation in Landscape Ecology, University of Münster, Institut of Landscape Ecology.

    "Unmanned Aerial Systems in Landscape Ecology - New Remote Sensing Capabilities and Perspectives für Scalable Environmental Applications and Analyses"
    2012 - 10/2017 PhD candidate in Landscape Ecology (University of Münster)
    06/2014- 12/2014 Research fellowship in Brasil (Vicosa, MG)
    08/2013- 02/2014 Research fellowship in Brasil (Vicosa, MG)
    2009-2012 Master program "Landscape Ecology" at the University of Münster
    2005-2009 Bachelor program "Environmental Sciences" at the University of Oldenburg

    Employments

    since 05/2015 Scientific assistant at the Institute of Landscape Ecology, Working Group "Applied Landscape Ecology/Ecological Planning", WWU Münster
    08/2012- 08/2013 Graduate assistant at the Institute of Landscape Ecology, Working Group "Applied Landscape Ecology/Ecological Planning", WWU Münster
    2009-2012 Student assistant Working Group Hydrology, WWU Münster
    2009-2011 Student assistant „International Institute for Forest Ecosystem Management and Timber Utilization North Rhine-Westphalia“, WWU Münster

  • Teaching

    WiSe 2017/18

    • M 1: Journalclub (140615)
    • M 7: Landscape Management and Environmental Planning (140612)
    • UAV's applications and perspectives (140896)

    SoSe 2017

    • B24: Studienprojekt (148612)
    • M 7: Projektpraktikum (148619)
    • Unmanned Areial Systems for Applied Research (148914)

    WiSe 2016/17

    • M1: Journalclub (146690)
    • M7: Seminar Landscape Management and Environmental Planning (146682)
    • UAV's applications and perspectives (146964)

  • Research/ Fields of Interest

    • Usage of "Unmanned Aerial Vehicles" (UAV's) in ecological applications
    • Multispectral remote sensing (e.g. gathering species compositon in Ecosystems)
    • Objectbased methods of classification
    • The loss of biodiversity caused by invasive species
    • Brasilian Ecosystems focussing the Mussununga region (Savannah-typed Ecosystems in the atlantic rainforest)

  • Research projects

    • INSPECTED.NET: INvasive SPecies Evaluation, ConTrol & EDucation.NETwork. sponsored by EU Marie Curie International Research Staff Exchange Scheme (IRSES). Project partners are the University of Bielefeld, the University of Lissabon (Portugal)  and the Federal University of Viçosa (Brazil).

  • Publications

    International publications (peer reviewed)

    • Lehmann J.R.K, Prinz, T., Ziller, S.R., Thiele, J., Heringer, G., Meira-Neto, J.A.A., Buttschardt, T.K. (2017): Open-Source processing and analysis of aerial imagery acquired with low-cost Unmanned Aerial System to support invasive plant management. doi: 10.3389/fenvs.2017.00044
    • Lehmann, J.R.K*.; Münchberger*, W.; Knoth, C.; Blodau, C.; Nieberding, F.; Prinz, T.; Pancotto, V.A.; Kleinebecker, T. (2016): High-Resolution Classification of South Patagonian Peat Bog Microforms Reveals Potential Gaps in Up-Scaled CH4 Fluxes by use of Unmanned Aerial System (UAS) and CIR Imagery. Remote Sens. 2016, 8, 173. doi:10.3390/rs8030173 *(equal authorship)
    • Lehmann, J.R.K., K. Z. Smithson, T. Prinz (2015): Making the Invisible Visible: Using UAS-Based High-Resolution Color-Infrared Imagery to Identify Buried Medieval Monastery Walls.” Journal of Unmanned Vehicle Systems. doi:10.1139/juvs-2014-0017.
    • Lehmann, J.R.K.; F. Nieberding, T. Prinz, C. Knoth (2015): Analysis of Unmanned Aerial System-Based CIR Images in Forestry - A New Perspective to Monitor Pest Infestation Levels. Forests 2015, 6, 594-612. doi: 10.3390/f6030594
    • Lehmann, J.R.K.; Große-Stoltenberg, A.; Römer, M.; Oldeland, J. (2015): Field Spectroscopy in the VNIR-SWIR Region to Discriminate between Mediterranean Native Plants and Exotic-Invasive Shrubs Based on Leaf Tannin Content. Remote Sens. 2015, 7, 1225-1241. doi:10.3390/rs70201225

    Books and series

    • Grabski-Kieron, U., Buttschardt, T. K., Foerster, J., Böhmichen, J. & Lehmann, J. R. K. (2016): Grenzüberschreitender Biotopverbund - Handlungsansätze und Herausforderungen für Planung und Naturschutzpraxis. - Naturschutz und Biologische Vielfalt 146, 150 S. Link

    Talks

    Geonetzwerk Münsterland 2018 (Coesfeld)

    • Lehmann, J.R.K. (2018): Anwendungen von Drohnen im landschaftsökologischen Kontext. Projektbeispiele aus dem In- und Ausland.

    UAVeek- Limits not included 2015 (Siegen, Germany)

    • Lehmann, J.R.K. (2015): Unmanned Aerial Vehicles in Environmental Research: A Case Study from a Peat Bog in Patagonia.

    Poster contributions

    European Geosciences Union (EGU) General Assembly 04/2015 (Vienna)

    • Lehmann, J.R.K., Zvara, O, Nunes Alves da Silva MC, Prinz T (2015): Mapping of invasive Acacia species in Brazilian Mussununga ecosystems using high-resolution remote sensing data acquired with an autonomous Unmanned Aerial System

    Neobiota 2012 (Pontevedra)

    • Lehmann J.R.K., Große-Stoltenberg A , Hellmann C , Oldeland J , Römer M (2012): Development of a classification model based on field spectral and biochemical leaf properties to analyse Acacia longifolia invasion via remote sensing
    • Große-Stoltenberg A , Buttschardt TK , Fernandez P , Gastauer M , Hellmann C , Lehmann J.R.K. , Máguas C , Meira Neto  JAA, Rascher K, Thiele J , Viana Neri A and Werner C (2012): INSPECTED.NET: INvasive SPecies Evaluation, ConTRol & EDucation.NETwork

    AK Fernerkundung Bochum

    • Lehmann J.R.K., Große-Stoltenberg A, Römer M (2012): Classification Model Development: Using Remote Sensing to Monitor the Spread of Invasive plant Species Acacia longifolia

    Master thesis

    • Development of a classification model based on spectral properties of tannin to identify invasive Acacia longifolia species in dune ecosystems of South Portugal (Abstract)

    Research Project

    • Optimizing the sampling scheme for hemispheric photography to assess the invasion of Acacia longifolia (Poster)