Sebastian Fritsch, PhD Candidate

Würzburg, Germany

Research field: Earth Sciences - Remote Sensing/Photogrammetry
land surface processes, crop yield modeling, time-series, land use classifications, validation and accuracy assessment

Publications

Journal Article (2)
- Sebastian Fritsch, Miriam Machwitz, Andrea Ehammer et al. (2012) Validation of the collection 5 MODIS FPAR product in a heterogeneous agricultural landscape in arid Uzbekistan using multitemporal RapidEye imagery, 6818-6837. In International Journal of Remote Sensing 33 (21).
- Christopher Conrad, Sebastian Fritsch, Julian Zeidler et al. (2010) Per-field irrigated crop classification in arid Central Asia using SPOT and ASTER data, 1035-1056. In Remote Sensing.
  Download PDF (1.25 MB)
Book Section (2)
- C. Conrad, S. Fritsch, S. Lex et al. (2012) Potenziale des 'Red Edge' Kanals von RapidEye zur Unterscheidung und zum Monitoring landwirtschaftlicher Anbaufrüchte am Beispiel des usbekischen Bewässerungssystems Khorezm, 203-217. In RapidEye Science Archive (RESA) - Vom Algorithmus zum Produkt.
- S. Fritsch, C. Conrad, S. Dech (2011) Einsatz multitemporaler RapidEye-Daten zur feldbasierten Ableitung von FPAR und Landnutzung in einer zentralasiatischen Bewässerungsregion, 89-99. In RapidEye Science Archive (RESA) - Erste Ergebnisse. 3. RESA Workshop.
Conference Proceedings (5)
- S. Fritsch, C. Conrad, S. Dech (2011) A MODIS-based approach for crop yield prediction in irrigation regions of Central Asia using light-use efficiency modeling, 7. In Proceedings of the ESA Living Planet Symposium 2010, 28th June - 2nd July 2010, Bergen, Norway, ESA SP-686 (CD-Rom).
- C. Conrad, M. Machwitz, G. Schorcht et al. (2011) Potentials of RapidEye time series for improved classification of crop rotations in heterogenous agricultural landscapes: experiences from irrigation systems in Central Asia. In SPIE 8174.
- S. Fritsch, M. Machwitz, C. Conrad et al. (2011) Relationships between high resolution RapidEye based fPAR and MODIS vegetation indices in a heterogeneous agricultural region. In SPIE 8174.
- A. Ehammer, S. Fritsch, C. Conrad et al. (2010) Statistical derivation of fPAR and LAI for irrigated cotton and rice in arid Uzbekistan by combining multi-temporal RapidEye data and ground measurements, 10. In Proc. SPIE 7824.
- S. Fritsch, S., Conrad, C., Rücker, G., Dech (2008) Objektbasierte Klassifikation der agrarischen Landnutzung im Gebiet Khorezm (Usbekistan), 6. In Angewandte Geographische Informationsverarbeitung XX. Beiträge zum AGIT-Symposium Salzburg '08.
Working Paper (2)
- S. Fritsch, C. Conrad, G. Schorcht et al. (2011) Calculating crop yields from space, 2.
  http://www.khorezm.zef.de/zur_khorezm...
  
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- C. Conrad, G. Schorcht, S. Fritsch et al. (2010) How satellite images can improve agricultural land and water management, 2.
  http://www.khorezm.zef.de/zur_khorezm...
  
  Download PDF (1.02 MB)

Awards and Grants

Sep 2011

SPIE Student Travel Grant (SPIE Remote Sensing 2011, Prague) View website
Sep 2011

ESA Advanced Land Training 2011 (Krakow) - Best poster award (category: crops and vegetation monitor View website
May 2008

PhD scholarship from the Center for Development Research (ZEF), Bonn, Germany View website
May 2007

Travel grant by the German Academic Exchange Service (DAAD) - Field work in Uzbekistan View website

Biographical Information

I studied Geography at the University of Würzburg (Germany) from 2002 to 2008, with geology and botany as minor subjects. During my main study period I started specializing in GIS and remote sensing and did an internship at the German Aerospace Center (DLR). I conducted my diploma thesis within the framework of a development research project in Uzbekistan that is doing research on restructuring land and water use (www.khorezm.uni-bonn.de) working on the combination of object and pixel based methods for crop classification using multi-source remote sensing data. After finishing my studies I received a PhD scholarship and stayed with the project. I am currently working at the Remote Sensing Unit of the University of Würzburg and doing research on crop yield modelling via the combination of remote sensing time-series and production efficiency models on multiple scales, using RapidEye and MODIS data. Besides that, I am interested in field methods, land use classification, data validation, accuracy assessment and modelling.