Digital Soil Mapping Bridging Research, Environmental Application, and Operation /
Digital Soil Mapping is the creation and the population of a geographically referenced soil database. It is generated at a given resolution by using field and laboratory observation methods coupled with environmental data through quantitative relationships. Digital soil mapping is advancing on diffe...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2010.
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Edición: | 1st ed. 2010. |
Colección: | Progress in Soil Science,
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Temas: | |
Acceso en línea: | Texto Completo |
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.