Digital Terrain Analysis in Soil Science and Geology
- 2nd Edition - July 11, 2016
- Author: Igor Florinsky
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 8 0 4 6 3 2 - 6
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 0 4 6 3 3 - 3
Digital Terrain Analysis in Soil Science and Geology, Second Edition, synthesizes the knowledge on methods and applications of digital terrain analysis and geomorphometry in the co… Read more
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Request a sales quoteDigital Terrain Analysis in Soil Science and Geology, Second Edition, synthesizes the knowledge on methods and applications of digital terrain analysis and geomorphometry in the context of multi-scale problems in soil science and geology. Divided into three parts, the book first examines main concepts, principles, and methods of digital terrain modeling. It then looks at methods for analysis, modeling, and mapping of spatial distribution of soil properties using digital terrain analysis, before finally considering techniques for recognition, analysis, and interpretation of topographically manifested geological features. Digital Terrain Analysis in Soil Science and Geology, Second Edition, is an updated and revised edition, providing both a theoretical and methodological basis for understanding and applying geographical modeling techniques.
- Presents an integrated and unified view of digital terrain analysis in both soil science and geology
- Features research on new advances in the field, including DEM analytical approximation, analytical calculation of local morphometric variables, morphometric globes, and two-dimensional generalized spectral analytical methods
- Includes a rigorous description of the mathematical principles of digital terrain analysis
- Provides both a theoretical and methodological basis for understanding and applying geographical modeling
Geologists, soil scientists, geomorphologists, geographers, and cartographers
- Preface to the Second Edition
- Acknowledgments
- Abbreviations and Acronyms
- Chapter 1: Digital Terrain Modeling: A Brief Historical Overview
- Abstract
- I: Principles and Methods of Digital Terrain Modeling
- Chapter 2: Topographic Surface and Its Characterization
- Abstract
- 2.1 Topographic Surface
- 2.2 Local Morphometric Variables
- 2.3 Nonlocal Morphometric Variables
- 2.4 Structural Lines
- 2.5 Solar Morphometric Variables
- 2.6 Combined Morphometric Variables
- 2.7 Landform Classifications
- Chapter 3: Digital Elevation Models
- Abstract
- 3.1 DEM Generation
- 3.2 DEM Grids
- 3.3 DEM Resolution
- 3.4 DEM Interpolation
- Chapter 4: Calculation Methods
- Abstract
- 4.1 The Evans-Young Method
- 4.2 Calculation of Local Morphometric Variables on a Plane Square Grid
- 4.3 Calculation of Local Morphometric Variables on a Spheroidal Equal Angular Grid
- 4.4 Calculation of Nonlocal Morphometric Variables
- 4.5 Calculation of Structural Lines
- 4.6 Calculation of Solar Morphometric Variables
- 4.7 Calculation of Combined Morphometric Variables
- Chapter 5: Errors and Accuracy
- Abstract
- 5.1 Sources of DEM Errors
- 5.2 Estimation of DEM Accuracy
- 5.3 Calculation Accuracy of Local Morphometric Variables
- 5.4 Ignoring of the Sampling Theorem
- 5.5 The Gibbs Phenomenon
- 5.6 Grid Displacement
- 5.7 Linear Artifacts
- Chapter 6: Filtering
- Abstract
- 6.1 Tasks of DTM Filtering
- 6.2 Methods of DTM Filtering
- 6.3 Two-Dimensional Singular Spectrum Analysis
- Chapter 7: Universal Analytical Modeling
- Abstract
- 7.1 Motivation
- 7.2 Method
- 7.3 Algorithm
- 7.4 Materials and Data Processing
- 7.5 Results and Discussion
- Chapter 8: Mapping and Visualization
- Abstract
- 8.1 Peculiarities of Morphometric Mapping
- 8.2 Combined Visualization of Morphometric Variables
- 8.3 Cross Sections
- 8.4 Three-Dimensional Topographic Modeling
- 8.5 Combining Hill-Shaded Maps With Soil and Geological Data
- 8.6 Virtual Globes
- Chapter 2: Topographic Surface and Its Characterization
- II: Digital Terrain Modeling in Soil Science
- Chapter 9: Influence of Topography on Soil Properties
- Abstract
- 9.1 Introduction
- 9.2 Local Morphometric Variables and Soil
- 9.3 Nonlocal Morphometric Variables and Soil
- 9.4 Discussion
- Chapter 10: Adequate Resolution of Models
- Abstract
- 10.1 Motivation
- 10.2 Theory
- 10.3 Field Study
- Chapter 11: Predictive Soil Mapping
- Abstract
- 11.1 The Dokuchaev Hypothesis as a Central Idea of Soil Predictions
- 11.2 Early Models
- 11.3 Current Predictive Methods
- 11.4 Topographic Multivariable Approach
- Chapter 12: Analyzing Relationships in the “Topography-Soil” System
- Abstract
- 12.1 Motivation
- 12.2 Study Sites
- 12.3 Materials and Methods
- 12.4 Results and Discussion
- Chapter 9: Influence of Topography on Soil Properties
- III: Digital Terrain Modeling in Geology
- Chapter 13: Folds and Folding
- Abstract
- 13.1 Introduction
- 13.2 Fold Geometry and Fold Classification
- 13.3 Predicting the Degree of Fold Deformation and Fracturing
- 13.4 Folding Models and the Theorema Egregium
- Chapter 14: Lineaments and Faults
- Abstract
- 14.1 Motivation
- 14.2 Theory
- 14.3 Method Validation
- 14.4 Two Case Studies
- Chapter 15: Accumulation Zones and Fault Intersections
- Abstract
- 15.1 Motivation
- 15.2 Study Area
- 15.3 Materials and Methods
- 15.4 Results and Discussion
- Chapter 16: Global Topography and Tectonic Structures
- Abstract
- 16.1 Motivation
- 16.2 Materials and Data Processing
- 16.3 Results and Discussion
- Chapter 13: Folds and Folding
- Chapter 17: Concluding Remarks
- Appendix A: LandLord—A Brief Description of the Software
- References
- Index
- No. of pages: 506
- Language: English
- Edition: 2
- Published: July 11, 2016
- Imprint: Academic Press
- Hardback ISBN: 9780128046326
- eBook ISBN: 9780128046333
IF
Igor Florinsky
Igor Florinsky is a Principal Research Scientist at the Keldysh Institute of Applied Mathematics, Russian Academy of Sciences. He has previously held positions as a Visiting Fellow at the Agriculture and Agri-Food Canada and a Research Scientist at the University of Manitoba in Canada. He is an author, co-author, or editor of over 125 publications including 2 books, 2 edited volumes, 50 papers in peer-reviewed journals, and 13 peer-reviewed book chapters. He is an Editorial Board Member for the journals Chinese Geographical Science, Space and Time, and the International Journal of Ecology and Development. His research interests include digital terrain modeling and geomorphometry, interrelationships between topography, soils, and tectonics, and the influence of the geological environment on humans, society and civilization.
Affiliations and expertise
Principal Research Scientist, Institute of Mathematical Problems of Biology, The Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Pushchino, RussiaRead Digital Terrain Analysis in Soil Science and Geology on ScienceDirect