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Digital Soil Mapping with Limited Data

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Cover of 'Digital Soil Mapping with Limited Data'

Table of Contents

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    Book Overview
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    Chapter 1 Digital Soil Mapping: A State of the Art
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    Chapter 2 Digital Soil Mapping Technologies for Countries with Sparse Data Infrastructures
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    Chapter 3 A New Global Demand for Digital Soil Information
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    Chapter 4 Development and Application of Digital Soil Mapping Within Traditional Soil Survey: What will it Grow Into?
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    Chapter 5 Soil Map Density and a Nation’s Wealth and Income
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    Chapter 6 Digital Soil Mapping as a Component of Data Renewal for Areas with Sparse Soil Data Infrastructures
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    Chapter 7 Challenges to Digital Soil Mapping
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    Chapter 8 Mapping Potassium Availability from Limited Soil Profile Data in Brazil
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    Chapter 9 GIS as a Support to Soil Mapping in Southern Brazil
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    Chapter 10 Experiences with Applied DSM: Protocol, Availability, Quality and Capacity Building
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    Chapter 11 Towards a Data Quality Management Framework for Digital Soil Mapping with Limited Data
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    Chapter 12 Demand-Driven Land Evaluation
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    Chapter 13 Diffuse Reflectance Spectroscopy as a Tool for Digital Soil Mapping
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    Chapter 14 Digital Soil Mapping at a National Scale: A Knowledge and GIS Based Approach to Improving Parent Material and Property Information
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    Chapter 15 3D Modelling of Geology and Soils – A Case Study from the UK
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    Chapter 16 Landsat Spectral Data for Digital Soil Mapping
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    Chapter 17 From a Large to a Small Scale Soil Map: Top-Down Against Bottom-Up Approaches
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    Chapter 18 An Approach to Removing Uncertainties in Nominal Environmental Covariates and Soil Class Maps
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    Chapter 19 Digital Soil Mapping Using Logistic Regression on Terrain Parameters for Several Ecological Regions in Southern Brazil
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    Chapter 20 Purposive Sampling for Digital Soil Mapping for Areas with Limited Data
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    Chapter 21 Assessment of Land Degradation Using NASA GIMMS: A Case Study in Kenya
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    Chapter 22 Spatial-Temporal Changes in Land Cover, Soil Properties and Carbon Stocks in Rio de Janeiro
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    Chapter 23 Broad-Scale Soil Monitoring Through a Nationwide Soil-Testing Database
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    Chapter 24 Online Soil Information Systems – Recent Australian Experience
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    Chapter 25 Digital Soil Mapping Using Legacy Data in the Eden Valley, UK
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    Chapter 26 Delineating Acidified Soils in the Jizera Mountains Region Using Fuzzy Classification
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    Chapter 27 Incorporating Legacy Soil pH Databases into Digital Soil Maps
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    Chapter 28 The Digital Terrain Model as a Tool for Improved Delineation of Alluvial Soils
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    Chapter 29 Building a Digital Soil Data Base of the Solimões River Region in the Brazilian Central Amazon
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    Chapter 30 Enhancing the Use of Remotely-Sensed Data and Information for Digital Soilscape Mapping
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    Chapter 31 The Use of GIS and Digital Elevation Model in Digital Soil Mapping – A Case Study from São Paulo, Brazil
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    Chapter 32 Geomorphometric Attributes Applied to Soil-Landscapes Supervised Classification of Mountainous Tropical Areas in Brazil: A Case Study
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    Chapter 33 Digital Soil Mapping of Soil Properties in Honduras Using Readily Available Biophysical Datasets and Gaussian Processes
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    Chapter 34 Digital Mapping of Soil Classes in Rio de Janeiro State, Brazil: Data, Modelling and Prediction
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    Chapter 35 Synthesis and Priorities for Future Work in Digital Soil Mapping
Overall attention for this book and its chapters
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Title
Digital Soil Mapping with Limited Data
Published by
Springer Science+Business Media B.V., January 2008
DOI 10.1007/978-1-4020-8592-5
ISBNs
978-1-4020-8592-5, 978-1-4020-8591-8, 978-9-04-817925-1
Authors

Hartemink, Alfred E, McBratney, Alex, Mendonça-Santos, Maria de Lourdes

Editors

Alfred E. Hartemink, Alex McBratney, Maria de Lourdes Mendonça-Santos

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Brazil 2 <1%
Iran, Islamic Republic of 2 <1%
Spain 2 <1%
Egypt 1 <1%
Australia 1 <1%
Belgium 1 <1%
South Africa 1 <1%
Unknown 269 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 21%
Researcher 54 19%
Student > Master 46 16%
Student > Doctoral Student 18 6%
Student > Bachelor 14 5%
Other 44 16%
Unknown 46 16%
Readers by discipline Count As %
Environmental Science 66 23%
Agricultural and Biological Sciences 60 21%
Earth and Planetary Sciences 52 19%
Engineering 14 5%
Computer Science 6 2%
Other 15 5%
Unknown 68 24%