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Foto Mack

Benjamin Mack

PhD student
Research, Teaching
Group: Vegetation

Karlsruher Institut für Technologie (KIT)
Institut für Geographie und Geoökologie
Kaiserstr. 12
76131 Karlsruhe

Benjamin Mack

Information extraction from remotely sensed data with advanced image processing techniques.


  • Land use / land cover mapping
  • One-class and partially supervised classification
  • Synergistic usage of optical and SAR data
  • Estimation of soil sealing

Curriculum vitae

Since 2013 Research assistant at the Institute of Geography and Geoecology at the Karlsruhe Institute of Technology (KIT)
Since 2010 PhD student. Topic: Optimization of one-class classification approaches.
2010-2011 Research Assistant at the Juniorprofessorship for Remote Sensing in agriculture, Institute of Geodesy and Geoinformation, University of Bonn. Project: Remote sensing based retrieval of biomethane potential (BMP) of crops, with regard to the EnMAP mission.
2009-2010 Research Assistant at the Center for remote sensing of land surfaces, University of Bonn. Project: Enviland 2 – Synergistic usage of optical and SAR data (Focus on soil sealing).
2009 Magister Artium in Geography (Bonn). Magister-Thesis: ‘Factors influencing reflectance measurements in field spectroscopy – a comparative study on the reproducibility of measurements from two spectroradiometer systems.’ Supervisors: Prof. Gunter Menz, Prof. Sebastian Schmidtlein
2002 Abitur in Bad Saulgau


WS 2013/14

  • Umweltmonitoring mit Fernerkundung
  • Übung: Allgemeine Klimageographie/Klimatologie

Talks and Posters

Mack B. & B. Waske. Making One-Class Classification Feasible for Large Area Applications - An Iterative Approach. ESA Living Planet Symposium 2013, Edinburgh, United Kingdom.

Mack B. & B. Waske. Partially Supervised Land Cover Classification with MaxEnt. 7th Workshop of the EARSeL Special Interest Group Imaging Spectroscopy, 11.4.-13.4.2011, Edinburgh, United Kingdom.

Mack B. & B. Waske. Partially Supervised Classification of Agricultural Crops with TerraSAR-X and Radarsat-2 Data. IEEE International Geoscience and Remote Sensing Symposium, München.

Mack B. & B. Waske. Vergleich von Regressionsverfahren zur Ableitung des Blattflächenindex aus Hyperspektraldaten. Gastvortrag im Rahmen des Forum GI am Institut für Geoinformatik und Fernerkundung, 25.06.2012, Osnabrück.




Contributions in peer-reviewed journals
2018Piiroinen, R., Fassnacht, F. E., Heiskanen, J., Maeda, E., Mack, B., Pellikka, P. (2018): Invasive tree species detection in the Eastern Arc Mountains biodiversity hotspot using one class classification. Remote Sensing of Environment 218, pp. 119–131. 10.1016/j.rse.2018.09.018 PDF

2017Stenzel, S., Fassnacht, F. E., Mack, B., Schmidtlein, S. (2017): Identification of high nature value grassland with remote sensing and minimal field data. Ecological Indicators 74, pp. 28–38. 10.1016/j.ecolind.2016.11.005

2016Mack, B., Roscher, R., Stenzel, S., Schmidtlein, S., Waske, B. (2016): Mapping raised bogs with an iterative one-class classification approach. ISPRS Journal of Photogrammetry and Remote Sensing 120, pp. 53–64.

2014Mack, B., Roscher, R., Waske, B. (2014): Can I trust my one-class classification? Remote Sensing 6, pp. 8779–8802. Unter den Bedingungen von Open Access verfügbar 10.3390/rs6098779

Stenzel, S., Feilhauer, H., Mack, B., Metz, A., Schmidtlein, S. (2014): Remote sensing of scattered Natura 2000 habitats using a one-class classifier. International Journal of Applied Earth Observation and Geoinformation 33, pp. 211–217. 10.1016/j.jag.2014.05.012