Soil Carbon pp 363-372 | Cite as

GlobalSoilMap and Global Carbon Predictions

  • Jon HempelEmail author
  • Alex B. McBratney
  • Dominique Arrouays
  • Neil McKenzie
  • Alfred E. Hartemink
  • Mike Grundy
  • Mogens Greve
  • Suk-Young Hong
  • Glenn Lelyk
  • Zamir Libohova
Part of the Progress in Soil Science book series (PROSOIL)


The GlobalSoilMap project is representative of a global consortium of scientific institutions involved in soil survey and soil science. The GlobalSoilMap group was formed as an outgrowth of the International Union of Soil Sciences Working Group for Digital Soil Mapping with the purpose of providing consistently produced soil property information at 100 m resolution across the world. This information will aid in solving some of the key environment and societal issues of the day, including food security, global climate change land degradation and carbon sequestration. Data would be produced using mostly the storehouse of existing legacy soils data along with geographic information and a range of covariates. A range of modeling techniques is used dependant on the complexity of the background soil survey information. The key soil properties that would be most useful to the modeling community and other users are: organic carbon (g/kg), texture (sand %, silt %, clay % and coarse fragments %), pH, depth to bedrock or restrictive layer. Predictions are made at specified depths with uncertainty values assigned to each prediction. An innovative splining technique will be employed to provide a continuous prediction of soil property values throughout the depth of each profile. Maps have been produced at the country level in the Australia, Canada, Denmark, Nigeria, South Korea and the US and work is on-going in many other parts of the world.


Digital soil mapping Organic carbon Splinning 


  1. Arrouays et al (2013) consortium specifications, Release 2.3, Tiered GlobalSoilMap ProductsGoogle Scholar
  2. Hartemink AE, McBratney AB, Mendonça-Santos ML (eds) (2008) Digital soil mapping with limited data. Springer, New YorkGoogle Scholar
  3. Hempel JW, Libohova Z et al (2012) Versioning of Raster Property Maps for the North America Node. In: Digital soil assessments and beyond: proceedings of the 5th global workshop on digital soil mapping 2012, Sydney, Australia. CRC PressGoogle Scholar
  4. Soil Landscapes of Canada Working Group (2010) Soil landscapes of Canada version 3.2. Agriculture and Agri-Food Canada (digital map and database at 1:1 million scale)Google Scholar
  5. Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Soil Survey Geographic (SSURGO) Database. Available online at Accessed Jan 2012
  6. Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. U.S. General Soil Map (STATSGO2). Available online at Accessed Jan 2012

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jon Hempel
    • 1
    Email author
  • Alex B. McBratney
    • 2
  • Dominique Arrouays
    • 3
  • Neil McKenzie
    • 4
  • Alfred E. Hartemink
    • 5
  • Mike Grundy
    • 6
  • Mogens Greve
    • 7
  • Suk-Young Hong
    • 8
  • Glenn Lelyk
    • 9
  • Zamir Libohova
    • 10
  1. 1.USDA-NRCS-National Soil Survey CenterLincolnUSA
  2. 2.Faculty of Agriculture, Food & Natural ResourcesThe University of SydneySydneyAustralia
  3. 3.INRA, US 1106, InfoSol UnitOrleans Cedex 2France
  4. 4.CSIROMontpellierFrance
  5. 5.Department of Soil Science, FD Hole Soils LabUniversity of Wisconsin—MadisonMadisonUSA
  6. 6.CSIROBrisbaneAustralia
  7. 7.University of AarhusAarhusDenmark
  8. 8.National Academy of Agricultural Science Rural Development AdministrationSeoulSouth Korea
  9. 9.Agriculture and Agri-Food CanadaWinnipegCanada
  10. 10.USDA-NRCS-National Soil Survey CenterLincolnUSA

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