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Digital Soil Mapping Using Legacy Data in the Eden Valley, UK

  • T.R. Mayr
  • R.C. Palmer
  • H.J. Cooke

Abstract

The National Soil Resources Institute has a considerable amount of legacy data in the form of auger bore observations and detailed soil maps. Both have limitations due to inconsistencies in mapping, extent and spatial distribution of the data. Expert knowledge and quality assessment of the inference model can be used to analyse the available training data as well as the resulting map to identify shortcomings. Expert knowledge will identify soils which are either under predicted or missing from the training dataset, whereas the quality assessment will identify soils and landscape units that are missing from the training data. In addition, the methodology provides the means to assess accurately the number and locations of any additional samples required. Using this framework, legacy data can be a valuable source of information in Digital Soil Mapping.

Keywords

Expert Knowledge Soil Survey Soil Series Landscape Unit Training Database 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Avery, B.W., 1973. Soil classification in the Soil Survey of England and Wales. Journal of Soil Science 24: 324–338.CrossRefGoogle Scholar
  2. Avery, B.W., 1980. Soil Classification for England and Wales. Soil Survey Monograph No. 14, Harpenten, lawes Agricultural Trust.Google Scholar
  3. Bui, E.N., Loughhead, A. and Corner, R., 1999. Extracting soil-landscape rules from previous soil surveys. Aust. J. Soil Res. 37: 495–508.CrossRefGoogle Scholar
  4. Clayden, B., Hollis, J.M., 1984. Criteria for differentiating soil series. Soil Survey Technical Monograph No.17, Harpenden.Google Scholar
  5. Favrot, J.C., 1989. A stragety for large scale soil mapping: the reference areas method. Science du sol 27: 351–368.Google Scholar
  6. Findlay, D.C., 1970. Making 1:25,000 Soil Maps. Agricultural Research Council, Soil Survey of England and Wales.Google Scholar
  7. Hollis, J.M., Avery B.W., 1997. History of Soil Survey and Development of the Soil Series concept in the UK. Advances in GeoEcology 29: 109–144.Google Scholar
  8. Mayr, T.R., Palmer, R.C., Lawley, R.S., Fletcher, P., 2001. New methods of soil mapping. Final report for Defra contract SR0120.Google Scholar
  9. Mayr, T.R., Black, H., Towers, W., Palmer, R.C., Cooke, H.J., Freeman, M., Wood, C., Wright, S., Lilly, A., Jones, R., DeGroote, J., Hornung, M., 2006. Novel methods for spatial prediction of soil functions within landscapes. Final report for Defra and SEERAD contract No. SP0531.Google Scholar
  10. Mayr, T.R., Palmer, R.C., 2006. Digital soil mapping: an England & Wales perspective. In: Lagacherie, P., McBratney, A.B., Voltz, M. (eds.) Digital Soil Mapping, An Introductory perspective. Developments in soil science, vol 31. Elsevier, Amsterdam 600pp.Google Scholar
  11. McBratney, A.B., Mendonca Santos, M.L., Minasny, B., 2003. On digital soil mapping. Geoderma, 117(1–2): 3–52.CrossRefGoogle Scholar
  12. Soil Survey of England and Wales, 1983. Soils of England and Wales. Scale 1:250 000. Rothamsted Experiment Station, Harpenden.Google Scholar
  13. Thompson, G.G., Beckman, C.H., 1959. Soils and Land Use in the Toowoomba Area, Darling Downs, Queensland. Soils and Land Use Series No. 28, CSIRO, Australia.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • T.R. Mayr
    • 1
  • R.C. Palmer
  • H.J. Cooke
  1. 1.National Soil Resources InstituteCranfield UniversityCranfield MK43 0ALUK

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