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

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


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.


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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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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