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9781402085918

Digital Soil Mapping With Limited Data

by ; ;
  • ISBN13:

    9781402085918

  • ISBN10:

    1402085915

  • Format: Hardcover
  • Copyright: 2008-10-04
  • Publisher: Springer Verlag
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Summary

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.

Table of Contents

Introduction
Digital Soil Mapping: A State of the Artp. 3
Digital Soil Mapping Technologies for Countries with Sparse Data Infrastructuresp. 15
A New Global Demand for Digital Soil Informationp. 31
Development and Application of Digital Soil Mapping Within Traditional Soil Survey: What will it Grow Into?p. 43
Soil Map Density and a Nation's Wealth and Incomep. 53
Dealing with Limited Spatial Data Infrastructures
Digital Soil Mapping as a Component of Data Renewal for Areas with Sparse Soil Data Infrastructuresp. 69
Challenges to Digital Soil Mappingp. 81
Mapping Potassium Availability from Limited Soil Profile Data in Brazilp. 91
GIS as a Support to Soil Mapping in Southern Brazilp. 103
Experiences with Applied DSM: Protocol, Availability, Quality and Capacity Buildingp. 113
Towards a Data Quality Management Framework for Digital Soil Mapping with Limited Datap. 137
Demand-Driven Land Evaluationp. 151
Digital Soil Mapping - Methodologies
Diffuse Reflectance Spectroscopy as a Tool for Digital Soil Mappingp. 165
Digital Soil Mapping at a National Scale: A Knowledge and GIS Based Approach to Improving Parent Material and Property Informationp. 173
3D Modelling of Geology and Soils - A Case Study from the UKp. 183
Landsat Spectral Data for Digital Soil Mappingp. 193
From a Large to a Small Scale Soil Map: Top-Down Against Bottom-Up Approachesp. 203
An Approach to Removing Uncertainties in Nominal Environmental Covariates and Soil Class Mapsp. 213
Digital Soil Mapping Using Logistic Regression on Terrain Parameters for Several Ecological Regions in Southern Brazilp. 225
Purposive Sampling for Digital Soil Mapping for Areas with Limited Datap. 233
Assessment of Land Degradation Using NASA GIMMS: A Case Study in Kenyap. 247
Digital Soil Mapping - Examples
Spatial-Temporal Changes in Land Cover, Soil Properties and Carbon Stocks in Rio de Janeirop. 261
Broad-Scale Soil Monitoring Through a Nationwide Soil-Testing Databasep. 273
Online Soil Information Systems - Recent Australian Experiencep. 283
Digital Soil Mapping Using Legacy Data in the Eden Valley, UKp. 291
Delineating Acidified Soils in the Jizera Mountains Region Using Fuzzy Classificationp. 303
Incorporating Legacy Soil pH Databases into Digital Soil Mapsp. 311
The Digital Terrain Model as a Tool for Improved Delineation of Alluvial Soilsp. 319
Building a Digital Soil Data Base of the Solimoes River Region in the Brazilian Central Amazonp. 327
Enhancing the Use of Remotely-Sensed Data and Information for Digital Soilscape Mappingp. 337
The Use of GIS and Digital Elevation Model in Digital Soil Mapping - A Case Study from Sao Paulo, Brazilp. 349
Geomorphometric Attributes Applied to Soil-Landscapes Supervised Classification of Mountainous Tropical Areas in Brazil: A Case Studyp. 357
Digital Soil Mapping of Soil Properties in Honduras Using Readily Available Biophysical Datasets and Gaussian Processesp. 367
Digital Mapping of Soil Classes in Rio de Janeiro State, Brazil: Data, Modelling and Predictionp. 381
Priorities in Digital Soil Mapping
Synthesis and Priorities for Future Work in Digital Soil Mappingp. 399
Colour Plate Sectionp. 405
Indexp. 437
Table of Contents provided by Blackwell. All Rights Reserved.

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