Dr. Sebastian Fritsch
Employment at the department:
xx/xxxx - xx/xxxx
Research projects at the departement:
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- Conrad, C., Dech, S., Dubovyk, O., Fritsch, S., Klein, D., Löw, F., Schorcht, G., and Zeidler, J. (2014) Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images, Computers and Electronics in Agriculture 103, 63 - 74.
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Fritsch, S., Machwitz, M., Ehammer, A., Conrad, C., and Dech, S. (2012) Validation of the collection 5 MODIS FPAR product in a heterogeneous agricultural landscape in arid Uzbekistan using multitemporal RapidEye imagery, International Journal of Remote Sensing 33, 6818-6837.
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Conrad, C., Fritsch, S., Zeidler, J., Rücker, G., and Dech, S. (2010) Per-Field Irrigated Crop Classification in Arid Central Asia Using SPOT and ASTER Data, Remote Sensing 2, 1035-1056.
- Einstufung der Spätfrostgefährdung von Weinbaulagen in Franken - Möglichkeiten geografischer Informationssysteme (GIS) und Fernerkundung. Maaß, U.; Schwab, A.; Fritsch, S. H. -R. Schultz, Stoll, M. (red.) (2012). (Vol. 64) 113-118.
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Potenziale des Red Edge Kanals von RapidEye zur Unterscheidung und zum Monitoring landwirtschaftlicher Anbaufrüchte am Beispiel des usbekischen Bewässerungssystems Khorezm. Conrad, C.; Fritsch, S.; Lex, S.; Löw, F.; Rücker, G.; Schorcht, G.; Sultanov, M.; Lamers, J.P. (2012).
- A MODIS-based approach for crop yield prediction in irrigated areas of Central Asia using light-use efficiency modeling. Fritsch, S.; Conrad, C.; Dech, S.W. (2010). 1-7.
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Crop classification at subfield level using RapidEye time series and graph theory algorithms. Schorcht, G.; Löw, F.; Fritsch, S.; Conrad, C. (2012).
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Estimating regional crop yield at field scale using multitemporal RapidEye data. Fritsch, S.; Conrad, C.; Manschadi, A.; Machwitz, M.; Rücker, G.; Dech, S (2011).
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Field based FAO-56 dual crop coefficient method for water demand estimations using remote sensing and geodata management approaches. Schorcht, G.; Conrad, C.; Dech, S.; Lamers, J.; Rücker, G.; Fritsch, S. (2009).
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Generation and evaluation of time series for the derivation of biophysical parameters as an input for a crop model Lex, Sylvia; Dahms, Thorsten; Zellner, Peter; Fritsch, Sebastian; Conrad, Christopher; Schmidt, Marco (2015).
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Integration of remote sensing products in regional information systems to support decision making in land and water management in Central Asia. Ruecker, G.; Wehrmann, T.; Schettler, I.; Conrad, C.; Landmann, T.; Klein, D.; Fritsch, S.; Schorcht, G.; Mund, J.P.; Kuenzer, C.; Keil, M.; Mehl, H.; Dech, S. (2009).
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Objektbasierte Klassifikation der agrarischen Landnutzung im Gebiet Khorezm (Usbekistan). Fritsch, S.; Conrad, C.; Rücker, G.; Dech, S. (2008).
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Potentials of RapidEye time series for improved classification of crop rotations in heterogeneous agricultural landscapes: Experiences from irrigation systems in Central Asia. Conrad, C.; Machwitz, M.; Schorcht, G.; Löw, F.; Fritsch, S.; Dech, S. (2011).
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Relationships between high resolution RapidEye based fPAR and MODIS vegetation indices in a heterogeneous agricultural region. Fritsch, S.; Machwitz, M.; Conrad, C.; Dech, S. (2011).
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Statistical derivation of fPAR and LAI for irrigated cotton and rice in arid Uzbekistan by combining multi-temporal RapidEye data and ground measurements. Ehammer, A.; Fritsch, S.; Conrad, C.; Dech, S.W. (2010). (Vol. 7824) 1-10.
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Validation of the collection 5 MODIS FPAR product in a heterogeneous agricultural region. Fritsch, S.; Machwitz, M.; Ehammer, A.; Conrad, C.; Dech, S (2011).
- Fritsch, S., Conrad, C., Manschadi, A., Machwitz, M., Rücker, G., and Dech, S. (2011) Estimating regional crop yield at field scale using multitemporal RapidEye data, 3rd Remote Sensing Symposium (3rd RSS), September 8, Wageningen, Netherlands.
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Fritsch, S., Machwitz, M., Ehammer, A., Conrad, C., and Dech, S. (2011) Validation of the collection 5 MODIS FPAR product in a heterogeneous agricultural region, AK Fernerkundung, 29-30 September, Würzburg, Germany.