Details zur Publikation
Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1016/j.compag.2016.07.032
Titel (primär) PHASE: A geostatistical model for the Kriging-based spatial prediction of crop phenology using public phenological and climatological observations
Autor Gerstmann, H.; Doktor, D.; Gläßer, C.; Möller, M.
Quelle Computers and Electronics in Agriculture
Erscheinungsjahr 2016
Department CLE
Band/Volume 127
Seite von 726
Seite bis 738
Sprache englisch
Keywords Phenology; Kriging; Modeling; Growing degree days; Cross validation; Germany
UFZ Querschnittsthemen 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.
dauerhafte UFZ-Verlinkung 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 10.1016/j.compag.2016.07.032