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 different fronts at different rates all across the world. This book presents the state-of-the art and explores strategies for bridging research, production, and environmental application of digital soil mapping.It includes examples from North America, South America, Europe, Asia, and Australia. The chapters address the following topics: - evaluating and using legacy soil data - exploring new environmental covariates and sampling schemes - using integrated sensors to infer soil properties or status - innovative inference systems predicting soil classes, properties, and estimating their uncertainties - using digital soil mapping and techniques for soil assessment and environmental application - protocol and capacity building for making digital soil mapping operational around the globe.
This book reviews the latest in geographically referenced soil
databases, exploring strategies for bridging research, production, and
environmental uses of digital soil mapping. Includes examples from North and South America, Europe, Asia, and Australia.
Arvustused
From the reviews:
The book targets digital soil-mapping researchers and practitioners as it presents the most modern and advanced mapping techniques, and examines various approaches to digital soil mapping that span from its research and production to its environmental applications. The chapters are based upon papers of the Third Global Workshop on Digital Soil Mapping (DSM) that took place in Logan, Utah, USA in 2008, and explore this workshops theme, Digital soil mapping: bridging research, production, and environmental application. (Anne Schucknecht, Environmental Earth Sciences, Vol. 62, 2011)
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.
