Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

DSpace Repository

Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

Author: Taghizadeh-Mehrjardi, Ruhollah; Schmidt, Karsten; Amirian-Chakan, Alireza; Rentschler, Tobias; Zeraatpisheh, Mojtaba; Sarmadian, Fereydoon; Valavi, Roozbeh; Davatgar, Naser; Behrens, Thorsten; Scholten, Thomas
Tübinger Autor(en):
Taghizadeh-Mehrjardi, Ruhollah
Schmidt, Karsten
Rentschler, Tobias
Behrens, Thorsten
Scholten, Thomas
Published in: Remote Sensing (2020), Bd. 12, H. 7
Verlagsangabe: Mdpi
Language: English
Full text: http://dx.doi.org/10.3390/rs12071095
ISSN: 2072-4292
DDC Classifikation: 550 - Earth sciences
600 - Technology
Dokumentart: Article
Show full item record

This item appears in the following Collection(s)