Digital Soil Mapping with Limited Data

1. Front Matter

   Pages I-XXIV

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2. Introduction

   1. Front Matter

      Pages 1-1

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   2. Digital Soil Mapping: A State of the Art

      • P. Lagacherie

      Pages 3-14

   3. Digital Soil Mapping Technologies for Countries with Sparse Data Infrastructures

      • Budiman Minasny, Alex. B. McBratney, R. Murray Lark

      Pages 15-30

   4. A New Global Demand for Digital Soil Information

      • S.E. Cook, A. Jarvis, J.P. Gonzalez

      Pages 31-41

   5. Development and Application of Digital Soil Mapping Within Traditional Soil Survey: What will it Grow Into?

      • D. Howell, Y.G. Kim, C.A. Haydu-Houdeshell

      Pages 43-51

   6. Soil Map Density and a Nation’s Wealth and Income

      • Alfred E. Hartemink

      Pages 53-66

3. Dealing with Limited Spatial Data Infrastructures

   1. Front Matter

      Pages 67-67

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   2. Digital Soil Mapping as a Component of Data Renewal for Areas with Sparse Soil Data Infrastructures

      • D.G. Rossiter

      Pages 69-80

   3. Challenges to Digital Soil Mapping

      • J.W. Hempel, R.D. Hammer, A.C. Moore, J.C. Bell, J.A. Thompson, M.L. Golden

      Pages 81-90

   4. Mapping Potassium Availability from Limited Soil Profile Data in Brazil

      • R.B. Prado, V.M. Benites, P.L.O.A. Machado, J.C. Polidoro, R.O. Dart, A. Naumov

      Pages 91-101

   5. GIS as a Support to Soil Mapping in Southern Brazil

      • E. Weber, H. Hasenack, C.A. Flores, R.O. Pötter, P.J. Fasolo

      Pages 103-112

   6. Experiences with Applied DSM: Protocol, Availability, Quality and Capacity Building

      • R.A. MacMillan

      Pages 113-135

   7. Towards a Data Quality Management Framework for Digital Soil Mapping with Limited Data

      • B.G.C.M. Krol

      Pages 137-149

   8. Demand-Driven Land Evaluation

      • I.L.Z. Bacic

      Pages 151-162

4. Digital Soil Mapping – Methodologies

   1. Front Matter

      Pages 163-163

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   2. Diffuse Reflectance Spectroscopy as a Tool for Digital Soil Mapping

      • R.A. Viscarra Rossel, A.B. McBratney

      Pages 165-172

   3. Digital Soil Mapping at a National Scale: A Knowledge and GIS Based Approach to Improving Parent Material and Property Information

      • R. Lawley, B. Smith

      Pages 173-182

   4. 3D Modelling of Geology and Soils – A Case Study from the UK

      • B. Smith, H. Kessler, A.J. Scheib, S.E. Brown, R.C. Palmer, O. Kuras et al.

      Pages 183-191

   5. Landsat Spectral Data for Digital Soil Mapping

      • J.L. Boettinger, R.D. Ramsey, J.M. Bodily, N.J. Cole, S. Kienast-Brown, S.J. Nield et al.

      Pages 193-202

Signi?cant technological advances have been few and far between in the past approximately one hundred years of soil survey activities. Perhaps one of the most innovative techniques in the history of soil survey was the introduction of aerial photographs as base maps for ?eld mapping, which replaced the conventional base map laboriously prepared by planetable and alidade. Such a relatively simple idea by today’s standards revolutionized soil surveys by vastly increasing the accuracy and ef?ciently. Yet, even this innovative approach did not gain universal acceptance immediately and was hampered by a lack of aerial coverage of the world, funds to cover the costs, and in some cases a reluctance by some soil mappers and cartog- phers to change. Digital Soil Mapping (DSM), which is already being used and tested by groups of dedicated and innovative pedologists, is perhaps the next great advancement in delivering soil survey information. However, like many new technologies, it too has yet to gain universal acceptance and is hampered by ignorance on the part of some pedologists and other scientists. DSM is a spatial soil information system created by numerical models that - count for the spatial and temporal variations of soil properties based on soil - formation and related environmental variables (Lagacheric and McBratney, 2007).

• GIS
• Geoinformationssysteme
• Landsat
• covariates
• digital elevation model
• digital soil mapping
• environment
• geographic data
• pedology
• soil
• soil map density
• sparse data
• spatial data infrastructure

• ISRIC – World Soil Information, The Netherlands

  Alfred E. Hartemink

• Fac. of Agriculture, University of Sydney, NSW Camperdown, Australia

  Alex McBratney

• EMBRAPA-Brazilian Agricultural Research, Corporation/CNPS-The National Centre of Soil Research, Rio de Janeiro-RJ, Brazil

  Maria de Lourdes Mendonça-Santos

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