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Deutsch Intern
  • Chairs and Work Groups
INSTITUTE OF GEOGRAPHY AND GEOLOGY

Steven Hill, M.Sc

Department of Remote Sensing

   +49 (0) 931 31-80864
 steven.hill@uni-wuerzburg.de

Institute of Geography and Geology
Oswald-Külpe-Weg 86
97074 Würzburg

Campus Hubland Nord
Building 86
Room 01.003

upon request

Since 11/2014
PhD student at the department of remote sensing
Thema:
“Monitoring von Strukturparameter in Waldhabitaten mithilfe verschiedenener multitemporalen Fernerkundungsdaten“

10/2009 - 07/2012
Studies of Geography at the Ludwig-Maximilians-University Munich
Minor Subject: Biology

07/2012
Bachelorthesis:: „Change detection in tropical ecosystems using multisensoral remote sensing to support biodiversity monitoring – A case study on the Lenya National Park  in Myanmar“

10/2012 - 10/2015
Studies of Geography at the Julius-Maximilians-Universität Wuerzburg

09/2015 
Masterarbeit:
„Predicting montane forest development after natural disturbance in the Bavarian Forest Nationalpark using Airborne LiDAR“

Since 10/2015
PhD student at the department of remote sensing
Topic: “Monitoring the structural parameters of forest habitats by multi-source/multi-temporal remote sensing data”

Internship

02/2014 - 05/2014
Bavarian Forest National Park, Grafenau

02/2012 - 04/2012
RSS Remote Sensing Solutions, Baierbrunn

09/2011
Crystal Geotechnik, Utting am Ammersee

Journal Articles

  • Latifi, H.; Hill, S.; Schumann, B.; Heurich, M.; Dech, S. (2017): Multi-model estimation of understorey shrub, herb and moss cover in temperate forest stands by laser scanner data. In: Forestry
     
  • Hill, S.; Latifi, H.; Heurich, M.; Müller, J. (2017): Individual-tree- and stand-based development following natural disturbance in a heterogeneously structured forest: A LiDAR-based approach. In: Ecological Informatics, 38, 12 - 25.
     

Conference contributions

  • Hill, S.; Latifi, H.; Heurich, M.; Müller, J. (2016): LiDAR-gestützte Erfassung von einzelbaum- und bestandsbasierter Waldentwicklung nach natürlichen Störungsprozessen. In: FowiTa - Forstwirtschaftliche Tagung, 123.