Improving the spatial prediction of soil organic carbon content in two contrasting climatic regions by stacking machine learning models and rescanning covariate space

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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
Issue year: 2020
Language: English
Full text: https://doi.org/10.3390/rs12071095
Dokumentart: Book
Pages: 26
Published in: Remote sensing - Basel : MDPI, 12 (2020), 7, article 1095
Page range: 26 Seiten
Reference: 1713968444
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