Diplomarbeit / Masterarbeit
The effect of grouping SoilGrids data using unsupervised learning methods on the calibration and performance of the hydrological model SWAT
Barrios del, Willber S. The effect of grouping SoilGrids data using unsupervised learning methods on the calibration and performance of the hydrological model SWAT [Internet] [Master / Diploma Thesis]. [Austria]: BOKU - Universität für Bodenkultur Wien; 2019. Available from: http://permalink.obvsg.at/bok/AC15271187
BOKU Beteiligte
Karsten Schulz
Univ.Prof. Dipl.Geoökol. Dr.rer.nat. Karsten Schulz
Beurteilende(r) 1