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BuchKartoniert, Paperback
446 Seiten
Englisch
Springer Netherlandserschienen am19.10.2010
DSM is a spatial soil information system created by numerical models that - count for the spatial and temporal variations of soil properties based on soil - formation and related environmental variables (Lagacheric and McBratney, 2007).mehr
Verfügbare Formate
BuchGebunden
EUR160,49
BuchKartoniert, Paperback
EUR160,49
E-BookPDF1 - PDF WatermarkE-Book
EUR149,79

Produkt

KlappentextDSM is a spatial soil information system created by numerical models that - count for the spatial and temporal variations of soil properties based on soil - formation and related environmental variables (Lagacheric and McBratney, 2007).
ZusammenfassungThis book focuses on digital soil mapping methodologies and applications for areas where data are limited. Coverage includes dealing with limited spatial data infrastructures, methodology development, and examples of a variety of digital soil mapping.
Details
ISBN/GTIN978-90-481-7925-1
ProduktartBuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2010
Erscheinungsdatum19.10.2010
Seiten446 Seiten
SpracheEnglisch
Gewicht710 g
IllustrationenXXIV, 446 p. 109 illus., 55 illus. in color.
Artikel-Nr.10174265

Inhalt/Kritik

Inhaltsverzeichnis
Digital Soil Mapping: A State of the Art.- Digital Soil Mapping Technologies for Countries with Sparse Data Infrastructures.- A New Global Demand for Digital Soil Information.- Development and Application of Digital Soil Mapping Within Traditional Soil Survey: What will it Grow Into?.- Soil Map Density and a Nation´s Wealth and Income.- Dealing with Limited Spatial Data Infrastructures.- Digital Soil Mapping as a Component of Data Renewal for Areas with Sparse Soil Data Infrastructures.- Challenges to Digital Soil Mapping.- Mapping Potassium Availability from Limited Soil Profile Data in Brazil.- GIS as a Support to Soil Mapping in Southern Brazil.- Experiences with Applied DSM: Protocol, Availability, Quality and Capacity Building.- Towards a Data Quality Management Framework for Digital Soil Mapping with Limited Data.- Demand-Driven Land Evaluation.- Digital Soil Mapping - Methodologies.- Diffuse Reflectance Spectroscopy as a Tool for Digital Soil Mapping.- Digital Soil Mapping at a National Scale: A Knowledge and GIS Based Approach to Improving Parent Material and Property Information.- 3D Modelling of Geology and Soils - A Case Study from the UK.- Landsat Spectral Data for Digital Soil Mapping.- From a Large to a Small Scale Soil Map: Top-Down Against Bottom-Up Approaches.- An Approach to Removing Uncertainties in Nominal Environmental Covariates and Soil Class Maps.- Digital Soil Mapping Using Logistic Regression on Terrain Parameters for Several Ecological Regions in Southern Brazil.- Purposive Sampling for Digital Soil Mapping for Areas with Limited Data.- Assessment of Land Degradation Using NASA GIMMS: A Case Study in Kenya.- Digital Soil Mapping - Examples.- Spatial-Temporal Changes in Land Cover, Soil Properties and Carbon Stocks in Rio de Janeiro.-Broad-Scale Soil Monitoring Through a Nationwide Soil-Testing Database.- Online Soil Information Systems - Recent Australian Experience.- Digital Soil Mapping Using Legacy Data in the Eden Valley, UK.- Delineating Acidified Soils in the Jizera Mountains Region Using Fuzzy Classification.- Incorporating Legacy Soil pH Databases into Digital Soil Maps.- The Digital Terrain Model as a Tool for Improved Delineation of Alluvial Soils.- Building a Digital Soil Data Base of the Solimões River Region in the Brazilian Central Amazon.- Enhancing the Use of Remotely-Sensed Data and Information for Digital Soilscape Mapping.- The Use of GIS and Digital Elevation Model in Digital Soil Mapping - A Case Study from São Paulo, Brazil.- Geomorphometric Attributes Applied to Soil-Landscapes Supervised Classification of Mountainous Tropical Areas in Brazil: A Case Study.- Digital Soil Mapping of Soil Properties in Honduras Using Readily Available Biophysical Datasets and Gaussian Processes.- Digital Mapping of Soil Classes in Rio de Janeiro State, Brazil: Data, Modelling and Prediction.- Priorities in Digital Soil Mapping.- Synthesis and Priorities for Future Work in Digital Soil Mapping.mehr