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

Digital Soil Mapping: Bridging Research, Environmental Application, and Operation (Paperback, 2010)

David W. Howell, Janis L. Boettinger (엮은이)
Springer Verlag
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Digital Soil Mapping: Bridging Research, Environmental Application, and Operation
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책 정보

· 제목 : Digital Soil Mapping: Bridging Research, Environmental Application, and Operation (Paperback, 2010) 
· 분류 : 외국도서 > 과학/수학/생태 > 과학 > 지구과학 > 지리학
· ISBN : 9789400732551
· 쪽수 : 440쪽
· 출판일 : 2012-09-05

목차

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.

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Janis L. Boettinger (엮은이)    정보 더보기
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