Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning

Spatial predictions of soil macro and micro-nutrient content across Sub-Saharan Africa at 250 m spatial resolution and for 0–30 cm depth interval are presented. Predictions were produced for 15 target nutrients: organic carbon (C) and total (organic) nitrogen (N), total phosphorus (P), and extractab...

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Detalles Bibliográficos
Autores principales: Hengl, Tomislav, Leenaars, Johan G. B., Shepherd, Keith D., Walsh, Markus G., Heuvelink, Gerard B. M., Mamo, Tekalign, Tilahun, Helina, Berkhout, Ezra, Cooper, Matthew, Fegraus, Eric, Wheeler, Ichsani, Kwabena, Nketia A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2017
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745107/
https://www.ncbi.nlm.nih.gov/pubmed/33456317
http://dx.doi.org/10.1007/s10705-017-9870-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745107/
https://www.ncbi.nlm.nih.gov/pubmed/33456317
http://dx.doi.org/10.1007/s10705-017-9870-x

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