Mapping Soil Textural Fractions at Regional Scale Based on Local Morphometric Variables Using a Hybrid Approach (Case Study: Khuzestan Province, Iran)
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13369-024-08961-3.pdf
Reference36 articles.
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3. Amirian Chekan, A.; Taghizadeh Mehrjerdi, R.; Sarmadian, F.; Heidary, A.: Three-dimensional mapping of soil texture using spline depth functions and artificial neural networks. Iran. J. Soil Water Res. 48(1), 113–123 (2017). https://doi.org/10.22059/ijswr.2017.61346
4. Dharumarajan, S.; Hegde, R.: Digital mapping of soil texture classes using random forest classification algorithm. Soil Use Manag. 38(1), 135–149 (2022). https://doi.org/10.1111/sum.12668
5. Florinsky, I.: Digital Terrain Analysis in Soil Science and Geology, 2nd edn. Academic Press, Amsterdam (2016)
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