Predicting soil properties over a region using sample information from a mapped reference area and digital elevation data: a conditional probability approach
Submitted by t.hengl on March 13, 2011 - 16:09
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| Title | Predicting soil properties over a region using sample information from a mapped reference area and digital elevation data: a conditional probability approach |
| Publication Type | Journal Article |
| Year of Publication | 2000 |
| Authors | Lagacherie, P., and M. Voltz |
| Journal | Geoderma |
| Volume | 97 |
| Issue | 3-4 |
| Pagination | 187 - 208 |
| Date Published | 9/2000 |
| ISSN | 00167061 |
| DOI | 10.1016/S0016-7061(00)00038-0 |
| Short Title | Geoderma |
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In November 2008, an $18 million grant has been obtained from the Bill & Melinda Gates foundation and the Alliance for a Green Revolution in Africa (AGRA) to map most parts in Sub-Sahara Africa, and make all Sub-Saharan Africa data available. From this grant there are also funds for coordinating global efforts and for the establishment of a global consortium. Several institutions have assumed a leading role in this effort and have made substantial financial and in-kind contributions.
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