The impact of scale and variable selection for predicting topsoil organic carbon using machine learning and geostatistics based on legacy soil data
Abstract Soil organic carbon (SOC) is a significant soil property that informs agricultural management practices, resource planning, understanding land degradation, natural resource planning, and climate mitigation. In digital soil mapping (DSM), the spatial scale and the choice of covariates strong...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-04-01
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| coleção: | Discover Soil |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44378-026-00213-0 |
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