Benjamin Mack

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

Topics

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

Teaching

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.