Volume 2 2010

Digital Soil Mapping

Bridging Research, Environmental Application, and Operation

ISBN: 978-90-481-8862-8 (Print) 978-90-481-8863-5 (Online)

Table of contents (34 chapters)

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  1. Front Matter

    Pages I-XXII

  2. Introduction

    1. Front Matter

      Pages 1-1

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      Book Chapter

      Pages 3-12

      Current State of Digital Soil Mapping and What Is Next

  3. Research

    1. Front Matter

      Pages 13-13

    2. Environmental Covariates and Soil Sampling

      1. No Access

        Book Chapter

        Pages 17-27

        Environmental Covariates for Digital Soil Mapping in the Western USA

      2. No Access

        Book Chapter

        Pages 29-41

        A Generalized Additive Soil Depth Model for a Mountainous Semi-Arid Watershed Based Upon Topographic and Land Cover Attributes

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        Book Chapter

        Pages 43-53

        Applying Geochronology in Predictive Digital Mapping of Soils

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        Book Chapter

        Pages 55-66

        Scale Effects on Terrain Attribute Calculation and Their Use as Environmental Covariates for Digital Soil Mapping

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        Book Chapter

        Pages 67-75

        Conditioned Latin Hypercube Sampling: Optimal Sample Size for Digital Soil Mapping of Arid Rangelands in Utah, USA

      Soil Sensors and Remote Sensing

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        Book Chapter

        Pages 79-92

        Using Proximal Soil Sensors for Digital Soil Mapping

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        Book Chapter

        Pages 93-102

        The Use of Hyperspectral Imagery for Digital Soil Mapping in Mediterranean Areas

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        Book Chapter

        Pages 103-112

        Automatic Interpretation of Quickbird Imagery for Digital Soil Mapping, North Caspian Region, Russia

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        Book Chapter

        Pages 113-122

        ASTER-Based Vegetation Map to Improve Soil Modeling in Remote Areas

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        Book Chapter

        Pages 123-136

        Digital Soil Boundary Detection Using Quantitative Hydrologic Remote Sensing

      Soil Inference Systems

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        Book Chapter

        Pages 137-150

        Homosoil, a Methodology for Quantitative Extrapolation of Soil Information Across the Globe

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        Book Chapter

        Pages 151-164

        Artificial Neural Network and Decision Tree in Predictive Soil Mapping of Hoi Num Rin Sub-Watershed, Thailand

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        Book Chapter

        Pages 165-178

        Evaluation of the Transferability of a Knowledge-Based Soil-Landscape Model

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        Book Chapter

        Pages 179-190

        Random Forests Applied as a Soil Spatial Predictive Model in Arid Utah

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        Book Chapter

        Pages 191-202

        Two Methods for Using Legacy Data in Digital Soil Mapping

  4. Environmental Application and Assessment

    1. Front Matter

      Pages 203-203

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      Book Chapter

      Pages 205-216

      Mapping Heavy Metal Content in Soils with Multi-Kernel SVR and LiDAR Derived Data

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      Book Chapter

      Pages 217-226

      Mapping the CN Ratio of the Forest Litters in Europe-Lessons for Global Digital Soil Mapping

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      Book Chapter

      Pages 227-239

      Spatial Prediction and Uncertainty Assessment of Soil Organic Carbon in Hebei Province, China

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      Book Chapter

      Pages 241-254

      Estimating Soil Organic Matter Content by Regression Kriging

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