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Soil property and class maps of Africa at 250 m

The new maps, commissioned by the Africa Soil Information Services project (AfSIS), are important for studies on agricultural development, environment and food security. In Africa, significant amounts of soil nutrients are lost every year due to land degradation and soil exhaustion. However, improving land management is impossible without local information on soil properties such as sand-silt-clay content, water-holding capacity, or nutrient content. Unfortunately accurate soil information has been difficult to obtain for governments or research institutes, because existing soil profiles records are scattered over many sources. The aim of AfSIS, an international project funded by the Bill and Melinda Gates Foundation, is to improve this situation, among others by creating up-to-date digital soil property maps at high spatial resolution.

For further information see article: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0125814

Simple

Date (Publication)
2015-07-06
Edition
1
Presentation form
Digital map
Status
On going
Publisher
  ISRIC World Data Center forSoil - Tomislav Hengl ( Researcher )
http://www.wageningenur.nl/en/Persons/Tomislav-Hengl-1.htm
  - ( )
Maintenance and update frequency
As needed
GEMET - Concepts, version 2.4
  • soil
  • soil analysis
  • soil chemistry
  • soil fertilisation
  • soil map
  • soil texture
  • soil type
Theme
Region
  • Africa
Place
Metadata language
English
Character set
UTF8
Topic category
  • Environment
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OnLine resource
WebMapService to Africa Soil Grids ( WWW:LINK-1.0-http--link )
Hierarchy level
Dataset
Statement

ISRIC had already launched a first digital soil information system of Africa in 2013. Now it has launched a more accurate version of the maps, drawing on 18,000 geo-referenced soil profile records from 41 countries from over 450 data sources, ranging from digital databases, books, reports and articles. Meanwhile, AfSIS teams had analysed newly collected topsoil samples from over 9,500 locations using a combination of soil spectroscopy and laboratory analysis. These old and new soil data records, together with a large number of remote-sensing based images of vegetation, climate and terrain relief, were used to estimate the soil properties for the non-desert parts of Africa.

One mouse click on these maps can tell you for instance that Cameroon, Ghana and West Congo have greater than normal levels of organic carbon in the topsoil. Or that the soil along the northern border of South Africa contains only low amounts of organic carbon. "These new maps are more reliable than the first ones, because we have used more soil profile records, more detailed remote sensing images and more advanced statistical methods”, says ISRIC researcher Tom Hengl.

Source
Source
File identifier
f33dc2e3-4b17-433e-8751-b6dfe6dc8010 XML
Metadata language
English
Character set
UTF8
Date stamp
2015-11-13T12:00:52
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Author
  Center for Development Research - Antonio Rogmann ( Senior data Manager )
+49228734904
 
 

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Keywords

GEMET - Concepts, version 2.4
soil soil analysis soil chemistry soil fertilisation soil map soil texture soil type

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