Digital Soil Mapping, 1st Edition

An Introductory Perspective

Digital Soil Mapping, 1st Edition,Philippe Lagacherie,Alex McBratney,Marc Voltz,ISBN9780444529589

Lagacherie   &   McBratney   &   Voltz   

Elsevier Science




240 X 165

The first book devoted to the understanding of Digital Soil Mapping

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Key Features

* A new concept to meet the worldwide demand for spatial soil data
* The first compilation of ideas and methodologies of Digital Soil Mapping
* Offers a variety of specialities: soil surveying, geostatistics, data mining, fuzzy logic, remote sensing techniques, Geographical Information Science,...* Written by 82 researchers from 13 different countries


The book compiles the main ideas and methodologies that have been proposed and tested within these last fifteen years in the field of Digital Soil Mapping (DSM). Begining with current experiences of soil information system developments in various regions of the world, this volume presents states of the art of different topics covered by DSM: Conception and handling of soil databases, sampling methods, new soil spatial covariates, Quantitative spatial modelling, Quality assessment and representation of DSM outputs.
This book provides a solid support to students, researchers and engineers interested in modernising soil survey approaches with numerical techniques. It is also of great interest for potential soil data users.


Soil scientists, physical geographers, ecologists, environmental scientists and planners.

Philippe Lagacherie

Affiliations and Expertise

Institut National de la Recherche Agronomique, Laboratoire sur les Interactions Sol-Agrosystème-Hydrosystème, UMR LISAH AgroM-INRA-IRD, Montpellier, FRANCE

Alex McBratney

Affiliations and Expertise

Faculty of Agriculture, Food & Natural Resources, University of Sydney, NSW, Australia

Marc Voltz

Affiliations and Expertise

Institut National de la Recherche Agronomique, Laboratoire sur les Interactions Sol-Agrosystème-Hydrosystème, UMR LISAH AgroM-INRA-IRD, Montpellier, FRANCE

Digital Soil Mapping, 1st Edition

A. Introduction

1. Spatial soil information systems and spatial soil inference systems: perspectives for digital soil mapping
P. Lagacherie & A.B. McBratney

B. Digital soil mapping: current state and perspectives

2. A review of digital soil mapping in Australia
Elisabeth Bui

3. The state of the art of Brazilian soil mapping and prospects for digital soil mapping
Lou Mendonca et al.

4. The Soil Geographical Database of Eurasia at scale 1:1 000 000: history and perspective in digital soil mapping Joël Daroussin, Dominique King, Christine Le Bas, Borut Vrscaj & Luca Montanarella

5. Developing a Digital Soil Map for Finland. Harri Lilja & Raimo Nevalainen

C. Conception and handling of soil databases

6. Adapting soil mapping practices to the proposed EU INSPIRE directive.
Jean Dusart

7. Storage, maintenance and extraction of digital soil data
Craig Feuerherdt, Nathan Robinson & Steve Williams

8. Towards a soil information system for uncertain data.
Gerard Heuvelink & James Brown

9. The development of a quantitative procedure for soilscape delineation using digital elevation data for Europe.
Endre Dobos & Luca Montanarella

10. Ontology-based multi-source data integration for digital soil mapping .Bart Krol, David Rossiter & Wouther Siderius

D. Sampling methods for creating digital soil maps

11. Optimization of sample configurations for digital mapping of soil properties with
universal kriging
Gerard B.M. Heuvelink, D.J. Brus & J.J. de Gruijter

12. Latin hypercube sampling as a tool for digital soil mapping
Budiman Minasny & Alex. B. McBratney

13. Methodology for using secondary information in sampling optimisation for making fine-resolution maps of soil organic carbon
Achim Dobermann & Gregorio C. Simbahan

14. Designing spatial coverage samples using the k-means clustering algorithm
D.J Brus, J.J. de Gruijter & J.W. Van Groenigen

15. Adequate prior sampling is everything: lessons from the Ord River basin, Australia.
Elisabeth Bui, David Simon, Noël Schoknecht & Alan Payne

E. New environmental covariates for digital soil mapping

16. The use of airborne gamma-ray imagery for mapping soils and understanding landscape processes
John Wilford & Brian Minty

17. Visible-NIR hyperspectal imagery for discriminating soil types in the la Peyne watershed, France
J.S. Madeira Netto, J.-M. Robbez-Masson & E. Martins

18. Land-cover classification from Landsat imagery for mapping dynamic wet and saline soils
S. Kienast-Brown & J.L. Boettinger

19.. Producing dynamic cartographic sketches of soilscapes by contextual image processing in order to improve efficiency of pedological survey
J.-M. Robbez-Masson

20. Conceptual and digital soil-landscape mapping using Regolith-Catenary Units
Robin N. Thwaites

21. Soil prediction with spatially decomposed environmental factors
M.L. Mendonça-Santos, A.B. McBratney & B. Minasny

F. Quantitative modelling for digital soil mapping

22. Integrating pedological knowledge into digital soil mapping
C. Walter, P. Lagacherie & S. Follain

23. Decomposing digital soil information by spatial scale
R.M. Lark

24 Digital soil mapping with improved environmental predictors and models of pedogenesis.
Neil MacKenzie & J. Gallant

F.i : Examples of predicting soil classes

25. A comparison of data-mining techniques in predictive soil mapping.
Thorsten Behrens, Helga Foerster & Thomes Scholten

26. Digital soil mapping: an England & Wales perspective.
Thomas Mayr & Robert Palmer

27. Pedogenic Understanding Raster Classification Methodology for Mapping Soils, Powder River Basin, Wyoming, USA Nephi Cole & Janis Boettinger

28. Incorporating Classification Trees into a Pedogenic Understanding Raster Classification Methodology, Green River Basin, Wyoming, USA Amy Saunders & Janis Boettinger

29. Rule-based land-unit mapping of the Tiwi Islands, Northern Territory, Australia. Ian Hollingsworth, Elisabeth Bui, Inakwu Odeh, John Ludwig & P. McLeod

30. A test of an artificial neural network allocation procedure using the Czech Soil Survey of Agricultural Land data.
Lubos Boruvka & Vit Penizek

31. Comparison of approaches for automated soil identification.
Christoph Albrecht, Bernd Huwe & Reinhold Jahn

F.ii : Examples of predicting soil attributes

32. Digital mapping of soil attributes for regional and catchment modelling, using covariates, and statistical and geostatistical techniques
Inakwu O.A. Odeh, Mark Crawford & Alex. B. McBratney

33. Comparing discriminant analysis with binomial logistic regression, regression kriging and multi-indicator kriging for mapping salinity risk in northwest New South Wales, Australia
James A. Taylor & Inakwu O.A. Odeh

34. Fitting soil property spatial distribution models in the Mojave Desert for digital soil mapping D. Howell, Y. Kim, C. Haydu-Houdeshell, P. Clemmer, R. Almaraz & M. Ballmer

35. The spatial distribution and variation of available P in agricultural topsoil in England & Wales in 1971, 1981, 1991 and 2001
Samantha Baxter, Margaret Oliver & John R. Archer

36. The population of a 500-m resolution soil organic matter spatial information system for Hungary
E. Dobos, E. Micheli & L. Montanarella

37. Regional organic carbon storage maps of the western Brazilian Amazon based on prior soil maps and geostatistical interpolation
M. Bernoux, D. Arrouays, C. E. P. Cerri & C. C. Cerri

38. Improving the spatial prediction of soils at local and regional levels through a better understanding of soil-landscape relationships: soil hydromorphy in the Armorican Massif of Western France
V. Chaplot & C. Walter

G Quality assessment and representation of digital soil maps

39. Quality assessment of digital soil maps: producers and users perspectives.
Peter Finke

40. Using soil covariates to evaluate and represent the fuzziness of soil map boundaries
M.H. Greve & M.B. Greve

41 The display of digital soil data, 1976-2004.
Peter Burrough

42 Are Current Scientific Visualization and Virtual Reality Techniques Capable to Represent Real Soil-Landscapes?
Sabine Grunwald, Vinay Ramasundaram, Nicholas B. Comerford & Christine M. Bliss

Quotes and reviews

"The editors have undoubtedly brought together a great deal of information...the editors and authors deserve our commendation."
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