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Title (Primary) PHASE: A geostatistical model for the Kriging-based spatial prediction of crop phenology using public phenological and climatological observations
Author Gerstmann, H.; Doktor, D.; Gläßer, C.; Möller, M.;
Journal Computers and Electronics in Agriculture
Year 2016
Department CLE;
Volume 127
Language englisch;
POF III (all) T53; T12;
Keywords Phenology; Kriging; Modeling; Growing degree days; Cross validation; Germany
UFZ wide themes RU1;
Abstract OK) and Inverse Distance Weighting (IDW). The modeling accuracy varies between 2.14 days and 11.45 days for heading and emergence of winter wheat, respectively. The uncertainty of the majority of the modeled phases is less than a week. The model is universally applicable due to automatic parametrization, but model accuracies depend on the crop type and increase during a growing season. The possibility to enhance the model by additional explaining variables is demonstrated by consideration of soil moisture within an extended model setting.
ID 17845
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=17845
Gerstmann, H., Doktor, D., Gläßer, C., Möller, M. (2016):
PHASE: A geostatistical model for the Kriging-based spatial prediction of crop phenology using public phenological and climatological observations
Comput. Electron. Agric. 127 , 726 - 738