Environmental variables improve the accuracy of remote sensing estimation of soil organic carbon content
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-68424-5.pdf
Reference65 articles.
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3. Liang, Z. et al. National digital soil map of organic matter in topsoil and its associated uncertainty in 1980’s China. Geoderma 335, 47–56. https://doi.org/10.1016/j.geoderma.2018.08.011 (2019).
4. Zhang, H. et al. Prediction of soil organic carbon in an intensively managed reclamation zone of eastern China: A comparison ofmultiple linear regressions and the random forest model. Sci. Tot. Environ. 592, 704–713. https://doi.org/10.1016/j.scitotenv.2017.02.146 (2017).
5. Zhang, S., Tian, J., Lu, X. & Tian, Q. Temporal and spatial dynamics distribution of organic carbon content of surface soil in coastal wetlands of Yancheng, China from 2000 to 2022 based on Landsat images. CATENA 223, 106961. https://doi.org/10.1016/j.catena.2023.106961 (2023).
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