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Dipl.-Ing. Kristin Fenske

Kristin Fenske

Remote Sensing and Geoinformatics

former Research Assistant

  • 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)

Refereed Journal Papers:

Fenske, K., Feilhauer, H., Förster, M., Stellmes, M., Waske, B. (2020): Hierarchical classification with subsequent aggregation of heathland habitats using an intra-annual RapidEye time-series. International Journal of Applied Earth Observation and Geoinformation 87, S. 102036. DOI: 10.1016/j.jag.2019.102036.

Conference Proceedings (abstract reviewed):

Fenske, K., Stellmes, M.; Waske, B. (2018): Monitoring Conservation Parameters of Natura 2000 Heathland Habitats with UAV-based Camera Systems. 38th Annual EARSeL Symposium. July 09-12, 2018, Chania, Crete (Greece), [poster with short oral].

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].