Deutsch Intern
Earth Observation Research Cluster

Steven Hill, M.Sc

 

Department of Remote Sensing

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

Institute for Geography und Geology
Department for Remote Sensing
John Skilton Str. 4a
97074 Würzburg

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

  • Friedrich, C.; Löw, J.; Otte, I.; Hill, S.; Förtsch, S.; Schwalb-Willmann, J.; Gessner, U.; Schierghofer, C.; Truckenbrodt, S.; Schonert, E.; Piernicke, T.; Assmann, D.; Conrad, C.; Thiel, M. (2024): A multi-talented datacube: integrating, processing and presenting big geodata for the agricultural end user
  • Löw, J.; Hill, S.; Otte, I.; Thiel, M.; Ullmann, T.; Conrad, C. (2024): How Phenology Shapes Crop-Specific Sentinel-1 PolSAR Features and InSAR Coherence across Multiple Years and Orbits. In: Remote Sensing, 16 (2791), 26.
  • Röder, M.; Latifi, H.; Hill, S.; Jan, W.; Miroslav, S.; Josef, B.; Martin, M.; Nováková, M. H.; Eberhard, G.; Marco, H. (2018): Application of optical unmanned aerial vehicle-based imagery for the inventory of natural regeneration and standing deadwood in post-disturbed spruce forests.. In: International Journal of Remote Sensing
  • 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 Tagungpage, 123.