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Digital Soil Mapping with Limited Data
Overview of attention for book
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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Mentioned by
policy
2
policy sources
syllabi
1
institution with syllabi
patent
1
patent
Citations
dimensions_citation
107
Dimensions
Readers on
mendeley
284
Mendeley
Book overview
1. Digital Soil Mapping: A State of the Art
2. Digital Soil Mapping Technologies for Countries with Sparse Data Infrastructures
3. A New Global Demand for Digital Soil Information
4. Development and Application of Digital Soil Mapping Within Traditional Soil Survey: What will it Grow Into?
5. Soil Map Density and a Nation’s Wealth and Income
6. Digital Soil Mapping as a Component of Data Renewal for Areas with Sparse Soil Data Infrastructures
7. Challenges to Digital Soil Mapping
8. Mapping Potassium Availability from Limited Soil Profile Data in Brazil
9. GIS as a Support to Soil Mapping in Southern Brazil
10. Experiences with Applied DSM: Protocol, Availability, Quality and Capacity Building
11. Towards a Data Quality Management Framework for Digital Soil Mapping with Limited Data
12. Demand-Driven Land Evaluation
13. Diffuse Reflectance Spectroscopy as a Tool for Digital Soil Mapping
14. Digital Soil Mapping at a National Scale: A Knowledge and GIS Based Approach to Improving Parent Material and Property Information
15. 3D Modelling of Geology and Soils – A Case Study from the UK
16. Landsat Spectral Data for Digital Soil Mapping
17. From a Large to a Small Scale Soil Map: Top-Down Against Bottom-Up Approaches
18. An Approach to Removing Uncertainties in Nominal Environmental Covariates and Soil Class Maps
19. Digital Soil Mapping Using Logistic Regression on Terrain Parameters for Several Ecological Regions in Southern Brazil
20. Purposive Sampling for Digital Soil Mapping for Areas with Limited Data
21. Assessment of Land Degradation Using NASA GIMMS: A Case Study in Kenya
22. Spatial-Temporal Changes in Land Cover, Soil Properties and Carbon Stocks in Rio de Janeiro
23. Broad-Scale Soil Monitoring Through a Nationwide Soil-Testing Database
24. Online Soil Information Systems – Recent Australian Experience
25. Digital Soil Mapping Using Legacy Data in the Eden Valley, UK
26. Delineating Acidified Soils in the Jizera Mountains Region Using Fuzzy Classification
27. Incorporating Legacy Soil pH Databases into Digital Soil Maps
28. The Digital Terrain Model as a Tool for Improved Delineation of Alluvial Soils
29. Building a Digital Soil Data Base of the Solimões River Region in the Brazilian Central Amazon
30. Enhancing the Use of Remotely-Sensed Data and Information for Digital Soilscape Mapping
31. The Use of GIS and Digital Elevation Model in Digital Soil Mapping – A Case Study from São Paulo, Brazil
32. Geomorphometric Attributes Applied to Soil-Landscapes Supervised Classification of Mountainous Tropical Areas in Brazil: A Case Study
33. Digital Soil Mapping of Soil Properties in Honduras Using Readily Available Biophysical Datasets and Gaussian Processes
34. Digital Mapping of Soil Classes in Rio de Janeiro State, Brazil: Data, Modelling and Prediction
35. Synthesis and Priorities for Future Work in Digital Soil Mapping
Summary
Policy documents
Syllabi
Patents
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
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syllabus from an institution on Open Syllabus Project.
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