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Prediction of soil salinity with soil-reflected spectra: A comparison of two regression methods
To achieve the best high spectral quantitative inversion of salt-affected soils, typical saline-sodic soil was selected from northeast China, and the soil spectra were measured; then, partial least-squares regression (PLSR) models and principle component regression(PCR) models were established for s...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434016/ https://www.ncbi.nlm.nih.gov/pubmed/30911024 http://dx.doi.org/10.1038/s41598-019-41470-0 |