Foto Mack

Benjamin Mack

  • 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.