Estimating soil–water characteristic curve (SWCC) using machine learning and soil micro-porosity analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-01131-3.pdf
Reference75 articles.
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4. Amanabadi S, Vazirinia M, Vereecken H, Vakilian KA, Mohammadi MH (2019) Comparative study of statistical, numerical and machine learning-based pedotransfer functions of water retention curve with particle size distribution data. Eurasian Soil Sci 52:1555–1571. https://doi.org/10.1134/S106422931930001X
5. Bai J, Cui Q, Zhang W, Meng L (2019) An approach for downscaling SMAP soil moisture by combining Sentinel-1 SAR and MODIS data. Remote Sens 11(23):2736. https://doi.org/10.3390/rs11232736
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