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Foto Mack

Benjamin Mack

Forschung, Lehre
Gruppe: 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.




Beiträge in referierten Zeitschriften
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, S. 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, S. 53–64.

2014Mack, B., Roscher, R., Waske, B. (2014): Can I trust my one-class classification? Remote Sensing 6, S. 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, S. 211–217. 10.1016/j.jag.2014.05.012