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Digital Soil Mapping

Bridging Research, Environmental Application, and Operation, Progress in Soil Sc

W Howell, David / C Moore et al, Amanda
Erschienen am 01.12.2013
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Bibliografische Daten
ISBN/EAN: 9789400732551
Sprache: Englisch
Auflage: 1. Auflage

Beschreibung

InhaltsangabeCurrent State of Digital Soil Mapping and What Is Next.- Research.- Environmental Covariates for Digital Soil Mapping in the Western USA.- A Generalized Additive Soil Depth Model for a Mountainous Semi-Arid Watershed Based Upon Topographic and Land Cover Attributes.- Applying Geochronology in Predictive Digital Mapping of Soils.- Scale Effects on Terrain Attribute Calculation and Their Use as Environmental Covariates for Digital Soil Mapping.- Conditioned Latin Hypercube Sampling: Optimal Sample Size for Digital Soil Mapping of Arid Rangelands in Utah, USA.- Using Proximal Soil Sensors for Digital Soil Mapping.- The Use of Hyperspectral Imagery for Digital Soil Mapping in Mediterranean Areas.- Automatic Interpretation of Quickbird Imagery for Digital Soil Mapping, North Caspian Region, Russia.- ASTER-Based Vegetation Map to Improve Soil Modeling in Remote Areas.- Digital Soil Boundary Detection Using Quantitative Hydrologic Remote Sensing.- Homosoil, a Methodology for Quantitative Extrapolation of Soil Information Across the Globe.- Artificial Neural Network and Decision Tree in Predictive Soil Mapping of Hoi Num Rin Sub-Watershed, Thailand.- Evaluation of the Transferability of a Knowledge-Based Soil-Landscape Model.- Random Forests Applied as a Soil Spatial Predictive Model in Arid Utah.- Two Methods for Using Legacy Data in Digital Soil Mapping.- Environmental Application and Assessment.- Mapping Heavy Metal Content in Soils with Multi-Kernel SVR and LiDAR Derived Data.- Mapping the CN Ratio of the Forest Litters in Europe-Lessons for Global Digital Soil Mapping.- Spatial Prediction and Uncertainty Assessment of Soil Organic Carbon in Hebei Province, China.- Estimating Soil Organic Matter Content by Regression Kriging.- Digital Soil Mapping of Topsoil Organic Carbon Content of Rio de Janeiro State, Brazil.- Comparing Decision Tree Modeling and Indicator Kriging for Mapping the Extent of Organic Soils in Denmark.- Modeling Wind Erosion Events - Bridging the Gap Between Digital Soil Mapping and Digital Soil Risk Assessment.- Making Digital Soil Mapping Operational.- Soilscapes Basis for Digital Soil Mapping in New Zealand.- Legacy Soil Data Harmonization and Database Development.- Toward Digital Soil Mapping in Canada: Existing Soil Survey Data and Related Expert Knowledge.- Predictive Ecosystem Mapping (PEM) for 8.2 Million ha of Forestland, British Columbia, Canada.- Building Digital Soil Mapping Capacity in the Natural Resources Conservation Service: Mojave Desert Operational Initiative.- A Qualitative Comparison of Conventional Soil Survey and Digital Soil Mapping Approaches.- Applying the Optimum Index Factor to Multiple Data Types in Soil Survey.- U.S. Department of Agriculture (USDA) TEUI Geospatial Toolkit: An Operational Ecosystem Inventory Application.- Predictive Soil Maps Based on Geomorphic Mapping, Remote Sensing, and Soil Databases in the Desert Southwest.- GlobalSoilMap.net - A New Digital Soil Map of the World.- Methodologies for Global Soil Mapping.

Autorenportrait

InhaltsangabePart 1. Introduction.- Part 2.- Research. Section A. Environmental Covariates and Soil Sampling. Section B. Soil Sensors and Remote Sensing. Section C. Soil Inference Systems.- Part 3. Environmental Applications and Assessment.- Part 4. Making Digital Soil Mapping Operational.

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