About this book
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.
Contents
A. Introduction
1. Spatial soil information systems and spatial soil inference systems: perspectives for digital soil mapping
B. Digital soil mapping: current state and perspectives
2. A review of digital soil mapping in Australia
3. The state of the art of Brazilian soil mapping and prospects for digital soil mapping
4. The Soil Geographical Database of Eurasia at scale 1:1 000 000: history and perspective in digital soil mapping Jo#l 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
7. Storage, maintenance and extraction of digital soil data
8. Towards a soil information system for uncertain data
9. The development of a quantitative procedure for soilscape delineation using digital elevation data for Europe
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
12. Latin hypercube sampling as a tool for digital soil mapping
13. Methodology for using secondary information in sampling optimisation for making fine-resolution maps of soil organic carbon
14. Designing spatial coverage samples using the k-means clustering algorithm
15. Adequate prior sampling is everything: lessons from the Ord River basin, Australia
E. New environmental covariates for digital soil mapping
16. The use of airborne gamma-ray imagery for mapping soils and understanding landscape processes
17. Visible-NIR hyperspectal imagery for discriminating soil types in the la Peyne watershed, France
18. Land-cover classification from Landsat imagery for mapping dynamic wet and saline soils
19.. Producing dynamic cartographic sketches of soilscapes by contextual image processing in order to improve efficiency of pedological survey
20. Conceptual and digital soil-landscape mapping using Regolith-Catenary Units
21. Soil prediction with spatially decomposed environmental factors
F. Quantitative modelling for digital soil mapping
22. Integrating pedological knowledge into digital soil mapping
23. Decomposing digital soil information by spatial scale
24 Digital soil mapping with improved environmental predictors and models of pedogenesis
F.i : Examples of predicting soil classes
25. A comparison of data-mining techniques in predictive soil mapping
26. Digital soil mapping: an England & Wales perspective
27. Pedogenic Understanding Raster Classification Methodology for Mapping Soils, Powder River Basin, Wyoming, USA
28. Incorporating Classification Trees into a Pedogenic Understanding Raster Classification Methodology, Green River Basin, Wyoming, USA
29. Rule-based land-unit mapping of the Tiwi Islands, Northern Territory, Australia
30. A test of an artificial neural network allocation procedure using the Czech Soil Survey of Agricultural Land data
31. Comparison of approaches for automated soil identification
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
33. Comparing discriminant analysis with binomial logistic regression, regression kriging and multi-indicator kriging for mapping salinity risk in northwest New South Wales, Australia
34. Fitting soil property spatial distribution models in the Mojave Desert for digital soil mapping
35. The spatial distribution and variation of available P in agricultural topsoil in England & Wales in 1971, 1981, 1991 and 2001
36. The population of a 500-m resolution soil organic matter spatial information system for Hungary
37. Regional organic carbon storage maps of the western Brazilian Amazon based on prior soil maps and geostatistical interpolation
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
G Quality assessment and representation of digital soil maps
39. Quality assessment of digital soil maps: producers and users perspectives
40. Using soil covariates to evaluate and represent the fuzziness of soil map boundaries
41 The display of digital soil data, 1976-2004
42 Are Current Scientific Visualization and Virtual Reality Techniques Capable to Represent Real Soil-Landscapes?
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