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Biblio

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Author Title [ Type(Desc)] Year
Conference Paper
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)
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)
Conference Proceedings
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)
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)
Journal Article
C. Gläßer, Thürkow, D., Dette, C., and Scheuer, S., The development of an integrated technical–methodical approach to visualise hydrological processes in an exemplary post-mining area in Central Germany, İSPRS Journal of Photogrammetry and Remote Sensing, vol. 65, pp. 275 - 281, 2010.PDF icon ArticlePDF (2.06 MB)
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, 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. 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)