Digital Soil Mapping with Limited Data

  • Alfred E. Hartemink
  • Alex McBratney
  • Maria de Lourdes Mendonça-Santos

Table of contents

  1. Front Matter
    Pages I-XXIV
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. P. Lagacherie
      Pages 3-14
    3. Budiman Minasny, Alex. B. McBratney, R. Murray Lark
      Pages 15-30
    4. S.E. Cook, A. Jarvis, J.P. Gonzalez
      Pages 31-41
    5. Alfred E. Hartemink
      Pages 53-66
  3. Dealing with Limited Spatial Data Infrastructures

    1. Front Matter
      Pages 67-67
    2. J.W. Hempel, R.D. Hammer, A.C. Moore, J.C. Bell, J.A. Thompson, M.L. Golden
      Pages 81-90
    3. R.B. Prado, V.M. Benites, P.L.O.A. Machado, J.C. Polidoro, R.O. Dart, A. Naumov
      Pages 91-101
    4. E. Weber, H. Hasenack, C.A. Flores, R.O. Pötter, P.J. Fasolo
      Pages 103-112
    5. I.L.Z. Bacic
      Pages 151-162
  4. Digital Soil Mapping – Methodologies

    1. Front Matter
      Pages 163-163
    2. R.A. Viscarra Rossel, A.B. McBratney
      Pages 165-172
    3. B. Smith, H. Kessler, A.J. Scheib, S.E. Brown, R.C. Palmer, O. Kuras et al.
      Pages 183-191
    4. J.L. Boettinger, R.D. Ramsey, J.M. Bodily, N.J. Cole, S. Kienast-Brown, S.J. Nield et al.
      Pages 193-202

About this book


There has been considerable expansion in the use of digital soil mapping technologies and development of methodologies that improve digital soil mapping at all scales and levels of resolution. These developments have occurred in all parts of the world in the past few years and also in countries where it was previously absent. There is almost always a shortage of data in soil research and its applications and this may lead to unsupported statements, poor statistics, misrepresentations and ultimately bad resource management. In digital soil mapping, maximum use is made of sparse data and this book contains useful examples of how this can be done.

This book focuses on digital soil mapping methodologies and applications for areas where data are limited, and has the following sections (i) introductory papers, (ii) dealing with limited spatial data infrastructures, (iii) methodology development, and (iv) examples of digital soil mapping in various parts of the globe (including USA, Brazil, UK, France, Czech Republic, Honduras, Kenya, Australia). The final chapter summarises priorities for digital soil mapping.


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

Editors and affiliations

  • Alfred E. Hartemink
    • 1
  • Alex McBratney
    • 2
  • Maria de Lourdes Mendonça-Santos
    • 3
  1. 1.ISRIC – World Soil InformationThe Netherlands
  2. 2.Fac. of AgricultureUniversity of SydneyNSW CamperdownAustralia
  3. 3.EMBRAPA-Brazilian Agricultural ResearchCorporation/CNPS-The National Centre of Soil ResearchRio de Janeiro-RJBrazil

Bibliographic information