Spatial soil nutrients prediction using three supervised learning methods for assessment of land potentials in complex terrain

Publikationsart: Zeitschriftenbeiträge (peer-reviewed)
Titel: Spatial soil nutrients prediction using three supervised learning methods for assessment of land potentials in complex terrain
Medien: CATENA
DOI: 10.1016/j.catena.2017.02.006
Band: 154
ISBN: 1872-6887
Autoren: Gwanyong Jeong, Hannes Oeverdieck, Soo Jin Park, Bernd Huwe, Prof. Dr. Mareike Ließ
Herausgeber: Elsevier
Seiten: 73-84
Veröffentlichungsdatum: 06.03.2017
Zitation: Jeong, Gwanyong; Oeverdieck, Hannes; Park, Soo Jin; Huwe, Bernd; Ließ, Mareike (2017): Spatial soil nutrients prediction using three supervised learning methods for assessment of land potentials in complex terrain. CATENA 154, S. 73-84. DOI: 10.1016/j.catena.2017.02.006