Professional experience
- since Apr. 2020: Assistant researcher at the German Remote Sensing Data Center (DFD), German Aerospace Center (DLR)
- 2018 - 2020: Guest lecturer at Augsburg University. Course: "Applied Geodata Analysis and Machine learning in R".
Academic education
- Dec. 2023: PhD Thesis successfully defended (Dr. rer. nat.)
- Apr. 2017 - Dec. 2023: PhD Student at the German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), funded by the German Federal Environmental Foundation (DBU), Title "Fernerkundung und Maschinelles Lernen zur Erfassung von urbanem Grün – Eine Analyse am Beispiel der Verteilungsgerechtigkeit in Deutschland".
- Oct. 2014 - Feb. 2017: Master Geoinformatics (M.Sc.) at University Augsburg, Germany.
- Oct. 2010 - Jul. 2014: Bachelor Geography (B.Sc.) at Julius-Maximilians-University Würzburg, Germany.
Selected Publications
2023:
- Weigand, M., Wurm, M., Droin, A., Stark, T., Staab, J., Rauh, J., Taubenböck, H., "Are public green spaces distributed fairly? A nationwide analysis based on remote sensing, OpenStreetMap and census data", Geocarto International, 2023, https://doi.org/10.1080/10106049.2023.2286305
- Weigand, M., Worbis, S., Sapena, M., Taubenböck, H., "A structural catalogue of the settlement morphology in refugee and IDP camps", International Journal of Geographical Information Science 2023, https://doi.org/10.1080/13658816.2023.2189724
2020:
- Weigand, M., J. Staab, M. Wurm, and H. Taubenböck, "LandcoverDE" - Data Publication, 2020, https://doi.org/10.15489/1ccmlap3mn39.
- Weigand, M., J. Staab, M. Wurm, and H. Taubenböck, "Spatial and semantic effects of LUCAS samples on fully automated land use/land cover classification in high-resolution Sentinel-2 data," International Journal of Applied Earth Observation and Geoinformation, vol. 88, p. 102065, Jun. 2020, https://doi.org/10.1016/j.jag.2020.102065.
2019
- Weigand, M., M. Wurm, S. Dech, and H. Taubenböck, "Remote Sensing in Environmental Justice Research – a Review," ISPRS International Journal of Geo-Information, vol. 8, no. 20, p. 28, 2019, https://doi.org/10.3390/ijgi8010020.