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  • 1
    UID:
    almahu_9947552265102882
    Format: XIII, 720 p. 233 illus., 110 illus. in color. , online resource.
    ISBN: 9783319634395
    Series Statement: Progress in Soil Science,
    Content: This book presents the basic concepts of quantitative soil science and, within this framework, it seeks to construct a new body of knowledge. There is a growing need for quantitative approach in soil science, which arises from a general demand for improved economic production and environmental management. Pedometrics can be defined as the development and application of statistical and mathematical methods applicable to data analysis problems in soil science. This book shows how pedometrics can address key soil-related questions from a quantitative point of view.  It addresses four main areas which are akin to the problems of conventional pedology: (i) Understanding the pattern of soil distribution in character space – soil classification, (ii) Understanding soil spatial and temporal variation, (iii) Evaluating the utility and quality of soil and ultimately, (iv) Understanding the genesis of soil. This is the first book that address these problems in a coherent quantitate approach.
    Note: Preface -- Part 1: An introduction: What is pedometrics? -- Chapter 1. Scope of pedometrics (Alex B. McBratney) -- Part 2: Statistical footings -- Chapter 2. Soil statistical description and measurement scales (Thomas Bishop) -- Chapter 3. Statistical distributions of soil (Irena Mikheeva) -- Chapter 4. Effective multivariate description of soil and its environment (Mario Fajardo) -- Part 3: Soil measurements and attributes. Chapter 5. Pedometric treatment of soil attributes (Uta Stockmann) -- Chapter 6. Scaling characteristics of soil structure (Ana M. Tarquis) -- Chapter 7. Pedotransfer functions and soil inference systems (José Padarian) -- Part 4: Soil materials, horizons and profiles. Chapter 8. Soil material and horizon classes (Nathan Odgers) -- Chapter 9. Soil profiles and profile classes (Florence Carré) -- Part 5: Soil variation in space and time. Chapter 10. Classical soil geostatistics (Murray Lark) -- Chapter 11. Model-based soil geostatistics -- Chapter 12. Digital mapping of soil classes and continuous soil properties (Brendan P. Malone) -- Chapter 13. Vis-NIR-SWIR remote sensing products as new soil data for Digital Soil Mapping (Philippe Lagacherie) -- Chapter 14. Uncertainty and uncertainty propagation in soil mapping and modelling (Gerard Heuvelink) -- Chapter 15. Complex soil variation over multiple scales (Murray Lark) -- Chapter 16. Pedodiversity, soil reserves and restoration (Mario Fajardo) -- Chapter 17. Pedometric valuation of the soil resource (David Rossiter) -- Part 6: Soil genesis. Chapter 18. Clorpt functions (Uta Stockmann) -- Chapter 19. One- Two- and Three- D pedogenetic models (Sebastien Salvador) -- Part 7: Applications of pedometrics. Chapter 20. Site-specific crop management (Brett Whelan) -- Chapter 21. Variograms of soil properties for agricultural environmental applications (Stacey Paterson) -- Chapter 22. Broad-scale soil monitoring schemes (Dominique Arrouays) -- Chapter 23. Farm-scale soil carbon auditing (Jaap de Gruiter).
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783319634371
    Language: English
    Subjects: Geography
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    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    Book
    Book
    [Cham] :Springer,
    UID:
    almahu_BV043498249
    Format: xvii, 442 Seiten : , Illustrationen, Karten, Diagramme.
    ISBN: 978-3-319-28294-7
    Series Statement: Progress in soil science
    Language: English
    Subjects: Geography
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  • 3
    UID:
    almahu_9948654284102882
    Format: XV, 247 p. 461 illus., 72 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030648961
    Series Statement: Progress in Soil Science,
    Content: This book provides a didactic overview of techniques for inferring information from soil spectroscopic data, and the codes in the R programming language for performing such analyses. It is intended for students, researchers and practitioners looking to infer soil information from spectroscopic data, focusing mainly on, but not restricted to, the infrared range of the electromagnetic spectrum. Little prior knowledge of the R programming language or digital soil spectra is required. We work through the steps to process spectroscopic data systematically.
    Note: 1. Introduction -- 2. Getting Started with R -- 3. Material -- 4. Data Handling of Spectra -- 5. Pre-Processing of Spectra -- 6. Similarity between Spectra and the Detection of Outlier -- 7. Selection of the Calibration Sample -- 8. Estimating Soil Properties and Classes from Spectra -- 9. Spectral Transformation.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030648954
    Additional Edition: Printed edition: ISBN 9783030648978
    Additional Edition: Printed edition: ISBN 9783030648985
    Language: English
    URL: Cover
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  • 4
    Online Resource
    Online Resource
    [Cham] : Springer
    UID:
    b3kat_BV043546326
    Format: 1 Online-Ressource (XVII, 442 p. 177 illus., 122 illus. in color)
    ISBN: 9783319282954
    Series Statement: Progress in Soil Science
    Additional Edition: Erscheint auch als Druckausgabe ISBN 978-3-319-28294-7
    Language: English
    Subjects: Geography
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 5
    UID:
    almahu_9947391676902882
    Format: XVI, 262 p. 61 illus., 44 illus. in color. , online resource.
    ISBN: 9783319443270
    Series Statement: Progress in Soil Science,
    Content: This book describes and provides many detailed examples of implementing Digital Soil Mapping (DSM) using R. The work adheres to Digital Soil Mapping theory, and presents a strong focus on how to apply it. DSM exercises are also included and cover procedures for handling and manipulating soil and spatial data in R. The book also introduces the basic concepts and practices for building spatial soil prediction functions, and then ultimately producing digital soil maps.
    Note: Digital soil mapping -- R literacy for digital soil mapping -- Getting spatial in R-. Preparatory and exploratory data analysis for digital soil mapping -- Continuous soil attribute modeling and mapping -- Categorical soil attribute modeling and mapping -- Some methods for the quantification of prediction uncertainties for digital soil mapping -- Using digital soil mapping to update, harmonize and disaggregate legacy soil maps -- Combining continuous and categorical modeling: Digital soil mapping of soil horizons and their depths -- Digital soil assessment: A simple enterprise suitability example.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783319443256
    Language: English
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  • 6
    UID:
    edoccha_BV043934017
    Format: 1 Online Ressource (XVI, 262 p. 61 illus., 44 illus. in color).
    ISBN: 978-3-319-44327-0
    Series Statement: Progress in Soil Science
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-44325-6
    Language: English
    Subjects: Computer Science , Geography
    RVK:
    RVK:
    Keywords: Bodenkartierung ; Digitale Karte ; R
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    UID:
    almahu_9947362539202882
    Format: XVII, 442 p. 177 illus., 122 illus. in color. , online resource.
    ISBN: 9783319282954
    Series Statement: Progress in Soil Science,
    Content: This book is about digital soil morphometrics which is defined as the application of tools and techniques for measuring, mapping and quantifying soil profile properties, and deriving depth functions of soil properties. The book is structured along four research topics: (i) Soil profile properties, (ii) Soil profile imaging, (iii) Soil depth functions, and (iv) Use and applications. The pedon is at the heart of digital soil morphometrics. The use of digital soil morphometrics exceeds the pedology and soil classification purpose that it currently serves – it is used in rapid soil assessment that are needed in a range of biophysical studies. Digital soil morphometrics has the potential to enhance our understanding of soils and how we view them. The book presents highlights from The IUSS Inaugural Global Workshop on Digital Soil Morphometrics held in June 2015 in Madison, USA.
    Note: Preface -- Foreword -- What is Digital Soil Morphometrics and Where Might it be Going? -- Part I: Soil Profile Properties -- Quantifying Soil Structure and Porosity Using Three-dimensional Laser Scanning -- Portable X-ray Fluorescence (pXRF) for Determining Cr and Ni Contents of Serpentine Soils in the Field -- In situ Analysis of Soil Mineral Composition Through Conjoint Use of Visible, Near-infrared and X-ray Fluorescence Spectroscopy -- The Effect of Soil Moisture and Texture on Fe Concentration Using Portable X-ray Fluorescence Spectrometers -- Estimating Soil Texture from a Limited Region of the Visible/Near-infrared Spectrum -- Estimating Soil Properties with a Mobile Phone -- Part II: Soil Profile Imaging -- Advances Towards Quantitative Assessments of Soil Profile Properties -- Computer Graphics Procedural Modeling of Soil Structure -- Soil Profile Imaging for Estimating the Depth Distributions of Clay, Iron, and Hydrological Conditions of Soils Under Rice in Northern Taiwan -- Variation of Soil Properties in a Mollisol Profile Wall -- Mapping a Profile Wall of a Typic Udipsamments from the Central Sands in Wisconsin, USA -- Comparative analysis of Saturated Hydraulic Conductivity (Ksat) Derived from Image Analysis of Soil Thin Sections, Pedotransfer Functions, and Field-measured Methods -- Part III: Soil Depth Functions -- Measuring and Modelling Soil Depth Functions -- Electrical Conductivity Depth Functions for Delineating Paleosols -- Numerical Clustering of Soil Series Using Profile Morphological Attributes for Potato -- Digital Summaries of Pedon Descriptions -- Probabilistic Representation of Genetic Soil Horizons -- Using Soil Depth Functions to Distinguish Dystric from Xanthic Ferralsols in the Landscape -- Comparing Soil C Stocks from Soil Profile Data Using Four Different Methods -- Evaluation of Pedotransfer Equations to Predict Deep Soil Carbon Stock in Tropical Podzols Compared to Other Soils of the Brazilian Amazon Forest -- Part IV: Digital Soil Morphometrics - Use and Applications -- The Next Generation of Soil Survey Digital Products -- Digital Soil Morphometrics Brings Revolution to Soil Classification -- From Profile Morphometrics to Digital Soil Mapping -- Cone Penetrometers as a Tool for Distinguishing Soil Profiles and Mapping Soil Erosion -- Use of Ground Penetrating Radar to Determine Depth to Compacted Layer in Soils Under Pasture -- Part V: Summary and Conclusions -- Developments in Digital Soil Morphometrics.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783319282947
    Language: English
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  • 8
    UID:
    almahu_9949386073502882
    Format: 1 online resource
    Edition: 1st.
    ISBN: 9780429559488 , 0429559488 , 9780429555015 , 0429555016 , 9780429563959 , 0429563957 , 9780429264467 , 0429264461
    Content: This book contains papers presented at the International Workshop on Tropical Wetlands, held in Banjarmasin, Indonesia. This workshop discussed wetland mapping and characterization as well as wetland management for sustainable agriculture. This volume contains selected papers on tropical wetlands, more specifically, peatland, tidal land, and acid sulphate soils.This book presents an international overview of wetland and peatland mapping experiences from Indonesia, Congo, Brazil, Australia, and Scotland. Several innovative techniques are discussed, including integrated digital soil mapping and remote sensing techniques, as well as geodatabase processing and field surveying. This book further discussed tropical wetland management for agriculture as practiced in Indonesia, Vietnam, and Thailand. The contents of this book are suitable and should be a good reference for those who are involved in research, development, and management of tropical wetland, including academics, soil scientists, environmentalists, researchers, agriculturists, students, agri-businessmen, policy makers, land managers and farmers.
    Note: Mapping and Characterization of Wetlands. Wetlands Use and management: Global Perspectives. Water management. Peatland Management. Tidal land Management.
    Additional Edition: Print version: ISBN 9780367209643
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Conference papers and proceedings.
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  • 9
    UID:
    almahu_9949195351202882
    Format: XXIV, 448 p. , online resource.
    Edition: 1st ed. 2010.
    ISBN: 9789048188598
    Series Statement: Progress in Soil Science,
    Content: This book reports on developments in Proximal Soil Sensing (PSS) and high resolution digital soil mapping. PSS has become a multidisciplinary area of study that aims to develop field-based techniques for collecting information on the soil from close by, or within, the soil. Amongst others, PSS involves the use of optical, geophysical, electrochemical, mathematical and statistical methods. This volume, suitable for undergraduate course material and postgraduate research, brings together ideas and examples from those developing and using proximal sensors and high resolution digital soil maps for applications such as precision agriculture, soil contamination, archaeology, peri-urban design and high land-value applications, where there is a particular need for high spatial resolution information. The book in particular covers soil sensor sampling, proximal soil sensor development and use, sensor calibrations, prediction methods for large data sets, applications of proximal soil sensing, and high-resolution digital soil mapping. Key themes: soil sensor sampling - soil sensor calibrations - spatial prediction methods - reflectance spectroscopy - electromagnetic induction and electrical resistivity - radar and gamma radiometrics - multi-sensor platforms - high resolution digital soil mapping - applications Raphael A. Viscarra Rossel is a scientist at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) of Australia. Alex McBratney is Pro-Dean and Professor of Soil Science in the Faculty of Agriculture Food & Natural Resources at the University of Sydney in Australia. Budiman Minasny is a Senior Research Fellow in the Faculty of Agriculture Food & Natural Resources at the University of Sydney in Australia.
    Note: Part 1. Introduction -- Part 2. Soil Sensing and Sampling -- Part 3. Soil Spectroscopy and Hyperspectral Remote Sensing -- Part 4. ElectroMagnetic Induction and Electrical Resistivity -- Part 5. Geophysical and Mechanical Data -- Part 6. Multisensor Systems and Other Sensors -- Part 7. Applications.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789400732889
    Additional Edition: Printed edition: ISBN 9789048188802
    Additional Edition: Printed edition: ISBN 9789048188581
    Language: English
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  • 10
    Online Resource
    Online Resource
    Dordrecht : Springer Science+Business Media B.V
    UID:
    gbv_1650094337
    Format: Online-Ressource (XXIV, 448 p, digital)
    ISBN: 9789048188598
    Series Statement: Progress in Soil Science 1
    Content: This book reports on developments in Proximal Soil Sensing (PSS) and high resolution digital soil mapping. PSS has become a multidisciplinary area of study that aims to develop field-based techniques for collecting information on the soil from close by, or within, the soil. Amongst others, PSS involves the use of optical, geophysical, electrochemical, mathematical and statistical methods. This volume, suitable for undergraduate course material and postgraduate research, brings together ideas and examples from those developing and using proximal sensors and high resolution digital soil maps for applications such as precision agriculture, soil contamination, archaeology, peri-urban design and high land-value applications, where there is a particular need for high spatial resolution information. The book in particular covers soil sensor sampling, proximal soil sensor development and use, sensor calibrations, prediction methods for large data sets, applications of proximal soil sensing, and high-resolution digital soil mapping. Key themes: soil sensor sampling soil sensor calibrations spatial prediction methods reflectance spectroscopy electromagnetic induction and electrical resistivity radar and gamma radiometrics multi-sensor platforms high resolution digital soil mapping - applications Raphael A. Viscarra Rossel is a scientist at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) of Australia. Alex McBratney is Pro-Dean and Professor of Soil Science in the Faculty of Agriculture Food Natural Resources at the University of Sydney in Australia. Budiman Minasny is a Senior Research Fellow in the Faculty of Agriculture Food Natural Resources at the University of Sydney in Australia.
    Note: Includes bibliographical references and index , Foreword; Proximal Soil Sensing: Looking, Touching, Feeling; Preface; Acknowledgements; Contents; About the Editors; Contributors; Part I Overview; 1 Sampling for High-Resolution Soil Mapping; 2 Development of On-the-Go Proximal Soil Sensor Systems; 3 Diffuse Reflectance Spectroscopy for High-Resolution Soil Sensing; 4 High-Resolution Digital Soil Mapping: Kriging for Very Large Datasets; Part II Soil Sensing and Sampling; 5 The Sun Has Shone Here Antecedently; 6 Proximal Soil Nutrient Sensing Using Electrochemical Sensors , 7 DIGISOIL: An Integrated System of Data Collection Technologies for Mapping Soil Properties8 iSOIL: An EU Project to Integrate Geophysics, Digital Soil Mapping, and Soil Science; 9 Conditioned Latin Hypercube Sampling for Calibrating Soil Sensor Data to Soil Properties; 10 Response Surface Sampling of Remotely Sensed Imagery for Precision Agriculture; Part III Soil UV, Visible, and Infrared Spectral Sensing; 11 Mid- Versus Near-Infrared Spectroscopy for On-Site Analysis of Soil; 12 Determination of Soil Nitrate and Organic Matter Content Using Portable, Filter-Based Mid-Infrared Spectroscopy , 13 VNIR Spectroscopy Estimates of Within-Field Variability in Soil Properties14 Infrared Sensors to Map Soil Carbon in Agricultural Ecosystems; 15 Predicting Soil Carbon and Nitrogen Concentrations and Pasture Root Densities from Proximally Sensed Soil Spectral Reflectance; 16 Diagnostic Screening of Urban Soil Contaminants Using Diffuse Reflectance Spectroscopy; 17 Using Wavelets to Analyse Proximally Sensed Vis--NIRSoil Spectra; 18 Mapping Soil Surface Mineralogy at Tick Hill, North-Western Queensland, Australia, Using Airborne Hyperspectral Imagery , Part IV Soil Sensing by Electromagnetic Induction and Electrical Resistivity19 Combining Proximal and Penetrating Soil Electrical Conductivity Sensors for High-Resolution Digital Soil Mapping; 20 A Neural Network Approach to Topsoil Clay Prediction Using an EMI-Based Soil Sensor; 21 Field Determination of Soil Moisture in the Root Zone of Deep Vertosols Using EM38 Measurements: Calibration and Application Issues; 22 Can the EM38 Probe Detect Spatial Patterns of Subsoil Compaction?; 23 Changes in Field Soil Water Tracked by Electrical Resistivity , 24 Is a Systematic Two-Dimensional EMI Soil Survey Always Relevant for Vineyard Production Management? A Test on Two Pedologically Contrasting Mediterranean VineyardsPart V Radar and Gamma Radiometric Sensors; 25 Full-Waveform Modelling and Inversion of Ground-Penetrating Radar Data for Non-invasive Characterisation of Soil Hydrogeophysical Properties; 26 Using Proximal Sensors to Continuously Monitor Agricultural Soil Physical Conditions for Tillage Management; 27 Gamma Ray Sensor for Topsoil Mapping: The Mole , 28 Gamma Ray Sensing for Cadmium Risk Assessment in Agricultural Soil and Grain: A Case Study in Southern Sweden
    Additional Edition: ISBN 9789048188581
    Additional Edition: Buchausg. u.d.T. Proximal soil sensing Dordrecht : Springer, 2010 ISBN 9789048188581
    Additional Edition: ISBN 9789400732889
    Language: English
    Subjects: Geography , Agriculture, Forestry, Horticulture, Fishery, Domestic Science
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    Keywords: Bodenkartierung ; Elektromagnetisches Verfahren ; Elektromagnetische Messung ; Erdoberfläche ; Fernerkundung ; Bodenkartierung ; Elektromagnetisches Verfahren ; Elektromagnetische Messung ; Erdoberfläche ; Fernerkundung ; Aufsatzsammlung
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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