Autor:
Hengl, T.
Leenaars, Johan G.B.
Shepherd, Keith D.
Walsh, M. G.
Heuvelink, Gerard B.M.
Mamo, T.
Tilahun, H.
Berkhout, E.
Cooper, M.
Fegraus, E.
Wheeler, I.
Kwabena, N. A.
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 extrac...
Enlace original:
https://cgspace.cgiar.org/handle/10568/83171
Hengl, T.
,
Leenaars, Johan G.B.
,
Shepherd, Keith D.
,
Walsh, M. G.
,
Heuvelink, Gerard B.M.
,
Mamo, T.
,
Tilahun, H.
,
Berkhout, E.
,
Cooper, M.
,
Fegraus, E.
,
Wheeler, I.
,
Kwabena, N. A.
,
[Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning]
,
Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning
