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M. Möller, Gläßer, C., and Birger, J., Automatic interpolation of phenological phases in Germany, in 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), Trento, Italy, 2011.PDF icon Download Moeller et al. (2011) (8.86 MB)
S. Scheuer, Thürkow, D., and Gläßer, C., Ontologisches Web-GIS als Rich Internet Application Framework, FOSSGIS, vol. 2009. Proceedings zur Anwenderkonferenz für Freie und Open Source Software für Geoinformationssysteme, Hannover, 2009.PDF icon ArticlePDF (270.15 KB)
H. Gerstmann, Optimization of spectral indices and long-term separability analysis for classification of cereal crops using multi-spectral RapidEye imagery, International Journal of Applied Earth Observation and Geoinformation, vol. 52, p. 11, 2016.
S. Schiele, Möller, M., Blaar, H., Thürkow, D., and Müller-Hannemann, M., Parallelization strategies to deal with non-localities in the calculation of regional land-surface parameters, Computers & Geosciences, vol. 44, pp. 1 - 9, 2012.PDF icon ArticlePDF (1.74 MB)
H. Gerstmann, Knöfel, P., and Doktor, D., Phänologische Strukturierung von Satellitendaten zur Detektion optimaler Zeitfenster für Landnutzungsklassifikationen. 2015.PDF icon Uni_Halle_PhenoS_Phaenologie_Und_Landnutzungsklassifikation.pdf (5.92 MB)
H. Gerstmann, PHASE: A geostatistical model for the Kriging-based spatial prediction of crop phenology using public phenological and climatological observations , Computers and Electronics in Agriculture, vol. 127, 2016.
M. Möller, Müller, S., Doktor, D., and Gläßer, C., Phenological structuring of multi-temporal RapidEye imagergy, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 2012.PDF icon Download Moeller et al., 2012 (IGARSS) (4.27 MB)
M. Zhao, Peng, C., Xiang, W., Deng, X., Tian, D., Zhou, X., Yu, G., He, H., and Zhao, Z., Plant phenological modeling and its application in global climate change research: overview and future challenges, Environmental Reviews, vol. 21, pp. 1-14, 2013.PDF icon Zhao et al. (2013)  (1.02 MB)
D. Thürkow, Gläßer, C., Scheuer, S., and Schiele, S., Visualisation of Hydrological Processes with GEOVLEX: Introduction of an integrated methodical-technical Online Learning Approach, ISPRS working group VI/1 – VI/2, vol. XXXVIII-6/W7. ools and Techniques for E-Learning, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Potsdam, 2009.PDF icon ArticlePDF (800.07 KB)