Prediction of soil organic matter using multi-temporal satellite images in the Songnen Plain, China

• Published in: Geoderma Vol. 356; p. 113896
• Main Authors: Dou, Xin, Wang, Xiang, Liu, Huanjun, Zhang, Xinle, Meng, Linghua, Pan, Yue, Yu, Ziyang, Cui, Yang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.12.2019
• Subjects: carbon sinks; China; crop management; crop residues; melting; moderate resolution imaging spectroradiometer; MODIS; Optimal input variables; plowing; prediction; rain; remote sensing; snowmelt; soil organic carbon; Soil organic matter; soil sampling; soil surveys; soil water; Spectral index; Temporal information; China; Soil organic matter; Optimal input variables; Spectral index; MODIS; Temporal information

Due to confounding factors such as crop residue and soil moisture, soil organic matter (SOM) is usually estimated from soil samples in a laboratory or in the field at a local scale. In this study, laboratory and field data of crop residue, soil moisture, crop management practices, and SOM content we...