Dipl.-Ing. Kristin Fenske

kfenske

Institute of Geographical Sciences

Remote Sensing and Geoinformatics

Research Assistant

Address Malteserstr. 74-100
Room H051
12249 Berlin
Telephone (+49 30) 838 - 65326
Fax (+49 30) 838 - 458 683
Email kristin.fenske@fu-berlin.de

Office hours

Semester: Tuesdays from 14:00 to 15:00

Semester break: On arrangement

  • Since 10/2013: Freie Universität Berlin, Institute of Geographical Sciences, Working Group Remote Sensing and Geoinformatics, Research Assistant
  • 10/2005 – 09/2013: Technische Universität Berlin, Institute for Landscape Architecture and Environmental Planning, Studies of Environmental Planning
  • 09/2012 – 09/2013: Diploma Thesis: Object-based forest monitoring using an intra-annual high resolution satellite time-series. (Objekt-basierte Klassifikation einer intra-annuellen Satellitenzeitreihe als Beitrag zum Monitoring von Natura2000-Waldlebensraumtypen, Am Beispiel des Biosphärenreservates Vessertal-Thüringer Wald)
  • 04/2011 – 04/2013: Technische Universität Berlin, Department for Geoinformation in Environmental Planning, Student Collaborator in research projects: HABIT-Change and Care-X
  • 10/2009 – 09/2013: Technische Universität Berlin, Department for Geoinformation in Environmental Planning, Tutor (with teaching responsibilities)

Conference Proceedings (abstract reviewed):

Fenske, K., Förster, M., Waske, B. (2016): Hierarchical classification of heathland habitats using RapidEye time-series data and machine learning techniques. ESA Living Planet Symposium.May 09-13, 2016, Prague (Czech Republic), [poster].

Fenske, K., Roscher, R., Waske, B. (2015): Classification Probabilities of Floristic Species in Heathland Habitats Using High Spatial and Temporal Remote Sensing Data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 26-31, 2015, Milan (Italy), [oral].

Fenske, K., Förster, M., Kleinschmit, B. (2014): Object-based forest monitoring using an intra-annual high resolution satellite time-series. EARSeL SIG LULC - NASA LCLUC Workshop 2014. March 17-18, 2014, Berlin (Germany), [poster].