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1 Current State of Digital Soil Mapping and What Is Next |
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3 | (14) |
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Section A Environmental Covariates and Soil Sampling |
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2 Environmental Covariates for Digital Soil Mapping in the Western USA |
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17 | (12) |
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3 A Generalized Additive Soil Depth Model for a Mountainous Semi-Arid Watershed Based Upon Topographic and Land Cover Attributes |
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29 | (14) |
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4 Applying Geochronology in Predictive Digital Mapping of Soils |
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43 | (12) |
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5 Scale Effects on Terrain Attribute Calculation and Their Use as Environmental Covariates for Digital Soil Mapping |
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55 | (12) |
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6 Conditioned Latin Hypercube Sampling: Optimal Sample Size for Digital Soil Mapping of Arid Rangelands in Utah, USA |
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67 | (12) |
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Section B Soil Sensors and Remote Sensing |
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7 Using Proximal Soil Sensors for Digital Soil Mapping |
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79 | (14) |
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8 The Use of Hyperspectral Imagery for Digital Soil Mapping in Mediterranean Areas |
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93 | (10) |
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9 Automatic Interpretation of Quickbird Imagery for Digital Soil Mapping, North Caspian Region, Russia |
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103 | (10) |
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10 ASTER-Based Vegetation Map to Improve Soil Modeling in Remote Areas |
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113 | (10) |
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11 Digital Soil Boundary Detection Using Quantitative Hydrologic Remote Sensing |
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123 | (14) |
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Section C Soil Inference Systems |
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12 Homosoil, a Methodology for Quantitative Extrapolation of Soil Information Across the Globe |
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137 | (14) |
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13 Artificial Neural Network and Decision Tree in Predictive Soil Mapping of Hoi Num Rin Sub-Watershed, Thailand |
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151 | (14) |
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14 Evaluation of the Transferability of a Knowledge-Based Soil-Landscape Model |
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165 | (14) |
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15 Random Forests Applied as a Soil Spatial Predictive Model in Arid Utah |
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179 | (12) |
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16 Two Methods for Using Legacy Data in Digital Soil Mapping |
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191 | (14) |
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Part III Environmental Application and Assessment |
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17 Mapping Heavy Metal Content in Soils with Multi-Kernel SVR and LiDAR Derived Data |
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205 | (12) |
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18 Mapping the CN Ratio of the Forest Litters in Europe-Lessons for Global Digital Soil Mapping |
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217 | (10) |
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19 Spatial Prediction and Uncertainty Assessment of Soil Organic Carbon in Hebei Province, China |
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227 | (14) |
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20 Estimating Soil Organic Matter Content by Regression Kriging |
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241 | (14) |
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21 Digital Soil Mapping of Topsoil Organic Carbon Content of Rio de Janeiro State, Brazil |
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255 | (12) |
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22 Comparing Decision Tree Modeling and Indicator Kriging for Mapping the Extent of Organic Soils in Denmark |
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267 | (14) |
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23 Modeling Wind Erosion Events - Bridging the Gap Between Digital Soil Mapping and Digital Soil Risk Assessment |
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281 | (16) |
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Part IV Making Digital Soil Mapping Operational |
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24 Soilscapes Basis for Digital Soil Mapping in New Zealand |
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297 | (12) |
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25 Legacy Soil Data Harmonization and Database Development |
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309 | (16) |
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26 Toward Digital Soil Mapping in Canada: Existing Soil Survey Data and Related Expert Knowledge |
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325 | (12) |
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27 Predictive Ecosystem Mapping (PEM) for 8.2 Million ha of Forestland, British Columbia, Canada |
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337 | (20) |
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28 Building Digital Soil Mapping Capacity in the Natural Resources Conservation Service: Mojave Desert Operational Initiative |
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357 | (12) |
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29 A Qualitative Comparison of Conventional Soil Survey and Digital Soil Mapping Approaches |
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369 | (16) |
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30 Applying the Optimum Index Factor to Multiple Data Types in Soil Survey |
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385 | (14) |
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31 U.S. Department of Agriculture (USDA) TEUI Geospatial Toolkit: An Operational Ecosystem Inventory Application |
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399 | (12) |
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32 Predictive Soil Maps Based on Geomorphic Mapping, Remote Sensing, and Soil Databases in the Desert Southwest |
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411 | (12) |
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33 GlobalSoilMap.net - A New Digital Soil Map of the World |
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423 | (6) |
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34 Methodologies for Global Soil Mapping |
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429 | (8) |
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Index |
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437 | |