Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space - Taghizadeh-Mehrjardi, Ruhollah; Schmidt, Karsten; Amirian-Chakan, Alireza; Rentschler, Tobias; Zeraatpisheh, Mojtaba; Sarmadian, Fereydoon; Valavi, Roozbeh; Davatgar, Naser; Behrens, Thorsten; Scholten, Thomas (Remote sensing (Basel, Switzerland), 2020)
Keywords: Arid regions; artificial intelligence; Artificial neural networks; Carbon; Carbon content; Climate change; climatic zones; Deep learning; Digital mapping; digital soil mapping; Information processing; Iran; Learning algorithms; Learning theory; Machine learning; machine learning models; Model accuracy; Neural networks; Organic carbon; Organic soils; Precipitation; prediction; Predictions; Remote sensing; Sea level; Soil depth; Soil improvement; Soil mapping; soil organic carbon; Soil profiles; Soil properties; soil surveys; Soils; Spatial analysis; spatial block cross-validation; Spatial distribution; Stacking; stacking of models; Studies; Teaching methods; Topography; Iran; France