Digital Soil Mapping - 1st Edition - ISBN: 9780444529589, 9780080468075

Digital Soil Mapping, Volume 31

1st Edition

An Introductory Perspective

Series Volume Editors: Philippe Lagacherie Alex McBratney Marc Voltz
Hardcover ISBN: 9780444529589
eBook ISBN: 9780080468075
Imprint: Elsevier Science
Published Date: 4th December 2006
Page Count: 658
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Table of Contents

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

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

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

  3. 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

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

C. Conception and handling of soil databases

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

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

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

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

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

D. Sampling methods for creating digital soil maps

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

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

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

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

  5. 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

  1. The use of airborne gamma-ray imagery for mapping soils and understanding landscape processes John Wilford & Brian Minty
  1. Visible-NIR hyperspectal imagery for discriminating soil types in the la Peyne watershed, France J.S. Madeira Netto, J.-M. Robbez-Masson & E. Martins
  1. 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

  1. Conceptual and digital soil-landscape mapping using Regolith-Catenary Units Robin N. Thwaites
  1. Soil prediction with spatially decomposed environmental factors M.L. Mendonça-Santos, A.B. McBratney & B. Minasny

F. Quantitative modelling for digital soil mapping

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

  2. 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

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

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

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

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

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

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

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

F.ii : Examples of predicting soil attributes

  1. 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

  2. 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

  3. 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

  4. 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

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

  6. 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

  1. 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

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

  2. 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


Description

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.

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

Readership

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


Details

No. of pages:
658
Language:
English
Copyright:
© Elsevier Science 2007
Published:
Imprint:
Elsevier Science
eBook ISBN:
9780080468075
Hardcover ISBN:
9780444529589

Reviews

"The editors have undoubtedly brought together a great deal of information...the editors and authors deserve our commendation." - R. Webster in EUROPEAN JOURNAL OF SOIL SCIENCE


About the Series Volume Editors

Philippe Lagacherie Series Volume Editor

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 Series Volume Editor

Affiliations and Expertise

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

Marc Voltz Series Volume Editor

Affiliations and Expertise

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