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Proximal Soil Sensing

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Cover of 'Proximal Soil Sensing'

Table of Contents

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    Book Overview
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    Chapter 1 Sampling for High-Resolution Soil Mapping
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    Chapter 2 Development of On-the-Go Proximal Soil Sensor Systems
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    Chapter 3 Diffuse Reflectance Spectroscopy for High-Resolution Soil Sensing
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    Chapter 4 High-Resolution Digital Soil Mapping: Kriging for Very Large Datasets
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    Chapter 5 The Sun Has Shone Here Antecedently
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    Chapter 6 Proximal Soil Nutrient Sensing Using Electrochemical Sensors
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    Chapter 7 DIGISOIL: An Integrated System of Data Collection Technologies for Mapping Soil Properties
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    Chapter 8 iSOIL: An EU Project to Integrate Geophysics, Digital Soil Mapping, and Soil Science
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    Chapter 9 Conditioned Latin Hypercube Sampling for Calibrating Soil Sensor Data to Soil Properties
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    Chapter 10 Response Surface Sampling of Remotely Sensed Imagery for Precision Agriculture
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    Chapter 11 Mid- Versus Near-Infrared Spectroscopy for On-Site Analysis of Soil
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    Chapter 12 Determination of Soil Nitrate and Organic Matter Content Using Portable, Filter-Based Mid-Infrared Spectroscopy
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    Chapter 13 VNIR Spectroscopy Estimates of Within-Field Variability in Soil Properties
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    Chapter 14 Infrared Sensors to Map Soil Carbon in Agricultural Ecosystems
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    Chapter 15 Predicting Soil Carbon and Nitrogen Concentrations and Pasture Root Densities from Proximally Sensed Soil Spectral Reflectance
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    Chapter 16 Diagnostic Screening of Urban Soil Contaminants Using Diffuse Reflectance Spectroscopy
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    Chapter 17 Using Wavelets to Analyse Proximally Sensed Vis–NIR Soil Spectra
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    Chapter 18 Mapping Soil Surface Mineralogy at Tick Hill, North-Western Queensland, Australia, Using Airborne Hyperspectral Imagery
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    Chapter 19 Combining Proximal and Penetrating Soil Electrical Conductivity Sensors for High-Resolution Digital Soil Mapping
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    Chapter 20 A Neural Network Approach to Topsoil Clay Prediction Using an EMI-Based Soil Sensor
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    Chapter 21 Field Determination of Soil Moisture in the Root Zone of Deep Vertosols Using EM38 Measurements: Calibration and Application Issues
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    Chapter 22 Can the EM38 Probe Detect Spatial Patterns of Subsoil Compaction?
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    Chapter 23 Changes in Field Soil Water Tracked by Electrical Resistivity
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    Chapter 24 Is a Systematic Two-Dimensional EMI Soil Survey Always Relevant for Vineyard Production Management? A Test on Two Pedologically Contrasting Mediterranean Vineyards
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    Chapter 25 Full-Waveform Modelling and Inversion of Ground-Penetrating Radar Data for Non-invasive Characterisation of Soil Hydrogeophysical Properties
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    Chapter 26 Using Proximal Sensors to Continuously Monitor Agricultural Soil Physical Conditions for Tillage Management
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    Chapter 27 Gamma Ray Sensor for Topsoil Mapping: The Mole
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    Chapter 28 Gamma Ray Sensing for Cadmium Risk Assessment in Agricultural Soil and Grain: A Case Study in Southern Sweden
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    Chapter 29 Use of EM38 and Gamma Ray Spectrometry as Complementary Sensors for High-Resolution Soil Property Mapping
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    Chapter 30 Field-Scale Draught Resistance and Soil Moisture Measurement in Australia Using a Tine-Based Force–Capacitance Sensing System
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    Chapter 31 Sensor-Based Mapping of Soil Quality on Degraded Claypan Landscapes of the Central United States
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    Chapter 32 Proximal Sensing Methods for Mapping Soil Water Status in an Irrigated Maize Field
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    Chapter 33 Comparing the Ability of Multiple Soil Sensors to Predict Soil Properties in a Scottish Potato Production System
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    Chapter 34 Spatial Variability and Pattern of Selected Properties of Agricultural Soils in the Czech Republic Measured by Indirect Proximal and Remote Sensing
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    Chapter 35 Inverse Meta-modelling of Yield-Monitor Data for Estimating Soil-Available Water-Holding Capacities at a Farm Resolution of 10 m
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    Chapter 36 Reconstructing Palaeotopography at the Beginning of the Weichselian Glacial Stage Using an Electromagnetic Induction Sensor
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Title
Proximal Soil Sensing
Published by
Springer Science+Business Media B.V., January 2010
DOI 10.1007/978-90-481-8859-8
ISBNs
978-9-04-818859-8, 978-9-04-818858-1, 978-9-40-073288-9
Authors

Viscarra Rossel, Raphael A, McBratney, Alex B, Minasny, Budiman

Editors

Raphael A. Viscarra Rossel, Alex B. McBratney, Budiman Minasny

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Germany 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
Canada 1 <1%
India 1 <1%
Unknown 161 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 23%
Researcher 27 16%
Student > Master 24 14%
Professor > Associate Professor 10 6%
Student > Doctoral Student 8 5%
Other 24 14%
Unknown 39 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 26%
Engineering 26 15%
Environmental Science 18 10%
Earth and Planetary Sciences 18 10%
Computer Science 4 2%
Other 5 3%
Unknown 57 33%