Digital Soil Mapping : Bridging Research, Environmental Application, and Operation /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Boettinger, Janis L. (Editor ), Howell, David W. (Editor ), Moore, Amanda C. (Editor ), Hartemink, Alfred E. (Editor ), Kienast-Brown, Suzann. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Dordrecht : Springer Netherlands : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Progress in Soil Science,
Materias:
Tabla de Contenidos:
  • Current 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.