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INSTITUTE OF GEOGRAPHY AND GEOLOGY

Thorsten Dahms, M.Sc.

Department of Remote Sensing

Phone: +49 (0) 931 31-88964
Email: thorsten.dahms@uni-wuerzburg.de

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

Campus Hubland Nord
Building 86
Room 03.002A

ResearchGate

Consultation time

upon request

Research

Since 11/2014
PhD student at the department of remote sensing within the project Techs4TimeS

Curriculum Vitae

10/2007 – 10/2010
Studies of Geography at the University of Wuerzburg (Bachelor)
Focus subjects: Remote Sensing

09/2010
Bachelorthesis: „Assessment of the potential of high-resolution SAR-data for urban structure acquisition“– Classification of TerraSAR-X data from Munich

04/2012 – 09/2014
Studies of Geography at the University of Wuerzburg (Master)

08/2012 – 10/2012
Internship at the German Aerospace Center in Oberpfaffenhofen, Department: Landsurface

09/2014
Masterthesis: „Phenological analysis based on fused remote sensing data from RapidEye and Landsat“– research and development of data fusion- and time series creation methods for the phonological characterization of NATURA 2000 Habitats.

Publications

Journal Articles

  • Latifi, H., Dahms, T., Beudert, B., Heurich, M., Kübert, C., and Dech, S. (2018) Synthetic RapidEye data used for the detection of area-based spruce tree mortality induced by bark beetles, GIScience & Remote Sensing.
     
  • Khare, S., Ghosh, S. K., Latifi, H., Vijay, S., and Dahms, T. (2017) Seasonal-based analysis of vegetation response to environmental variables in the mountainous forests of Western Himalaya using Landsat 8 data, International Journal of Remote Sensing 38, 4418-4442.
     
  • Möller, M., Gerstmann, H., Gao, F., Dahms, T. C., and Förster, M. (2017) Coupling of phenological information and simulated vegetation index time series: Limitations and potentials for the assessment and monitoring of soil erosion risk, CATENA 150, 192 - 205.
     
  • Dahms, T., Seissiger, S., Borg, E., Vajen, H., Fichtelmann, B., and Conrad, C. (2016) Important Variables of a RapidEye Time Series for Modelling Biophysical Parameters of Winter Wheat, Photogrammetrie - Fernerkundung - Geoinformation 2016, 285-299.
     

Conference contributions

  • Möller M, Gerstmann H, Dahms T. 2017. Phenological NDVI time series for the dynamic derivation of soil coverage information. IGARSS : 1--4.
     
  • Kumar-Babu D, Kaufmann C, Schmidt M, Dahms T, Conrad C. 2017. Semi-Autonomous Remote Sensing Time Series Generation Tool. Spie Digital Library : 1--16.
     
  • Kumar-Babu D, Kaufmann C, Schmidt M, Dahms T, Conrad C. 2017. Autonomous Time Series Generation of High Spatial Resolution Images - A Feasibility Study. 68th International Astronautical Congress IAC : 1--7.
     
  • Dahms T, Babu D, Borg E, Schmidt M. 2017. Derivation of biophysical parameters from fused remote sensing data
     
  • Knöfel P, Dahms T, Borg E, Conrad C. 2017. Classification of agricultural land use and derivation of biophysical parameter using SAR and optical data. Dresden
     
  • Bolkart M, Dahms T, Conrad C, Latchininsky AF, Löw F. 2016. Mapping and Monitoring Locust Habitats in the Aral Sea Region based on Satellite Earth Observation Data. 12th International Congress of Orthopterology
     
  • Kumar Babu D, Schmidt M, Dahms T, Conrad C. 2016. Impact on quality and processing time due to change in pre-processing operation sequence on moderate resolution satellite images. Guadalajara, Mexico
     
  • Dahms T, Seissiger S, Borg E, Hans-Hermann V, Fichtelmann B, Conrad C. 2016. Important Variables Modelling Biophysical Vegetation Parameters On Winter Wheat. 5 gemeinsame Jahrestagung der Arbeitskreise „Fernerkundung“ (DGfG) und „Auswertung von Fernerkundungsdaten“ (DGPF)
     
  • Dahms T, Seissiger S, Conrad C, Borg E. 2016. Modelling Biophysical Parameters Of Maize Using Landsat 8 Time Series. Prague, Czech Republic. 171-175 pp
     
  • Lex S, Dahms T, Zellner P, Fritsch S, Conrad C, Schmidt M. 2015. Generation and evaluation of time series for the derivation of biophysical parameters as an input for a crop model. 7. RESA Workshop 2015 - Nutzung von RapidEye-Daten im Kontext der Synergie mit anderen Sensoren und in Vorbereitung auf künftige Missionen
     
  • Dahms T, Lex S, Zellner P, Fritsch S, Schmidt M, Conrad C. 2015. Techs4Times - innovative techniques for the generation and evaluation of Sentinel time series. DLR-SentinelWorkshop - Nutzung der Sentinels und nationalen Erdbeobachtungs-Missionen
     
  • Kübert C, Dahms T, Klein D, Dech S. 2013. Ableitung von phänologischen Maßen aus fernerkundlichen Zeitreihen – Methoden, Plausibilität und Aussagekraft. Passau, Germany
     
  • Dahms T, Kübert C, Conrad C. 2013. Ableitung von phänologischen Parametern aus hochauflösenden Fernerkundungsdaten. Tübingen, Germany
     
  • Kübert C, Conrad C, Dahms T, Klein D, Metz A, Stenzel S, Dech S. 2012. Ableitung von phänologischen Zuständen aus multitemporalen Fernerkundungsdaten. Treffen des AK „Fernerkundung“ der DGfG und des AK „Auswertung von Fernerkundungsdaten“ der DGPF, 4.-5.10.2012
     

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Contact

Chair of Remote Sensing
Oswald-Külpe-Weg 86
Campus Hubland Nord
97074 Würzburg

Email

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