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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010315163 | QE48.8 F56 2012 | Open Access Book | Book | Searching... |
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Summary
Summary
Digital Terrain Analysis in Soil Science and Geology provides soil scientists and geologists with an integrated view of the principles and methods of digital terrain analysis. Its attention to first principles and focus on error analysis makes it a useful resource for scientists to uncover the method applications particular to their needs. Digital Terrain Analysis in Soil Science and Geology covers a wide range of applications in the context of multi-scale problems of soil science and geology.
Author Notes
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.
Table of Contents
Preface | p. ix |
Acknowledgments | p. xv |
Abbreviations and acronyms | p. xvii |
1 Digital Terrain Modeling: A Brief Historical Overview | p. 1 |
I Principles and Methods of Digital Terrain Modeling | p. 5 |
2 Morphometric Variables | |
2.1 Topographic Surface | p. 7 |
2.2 Local Morphometric Variables | p. 9 |
2.3 Nonlocal Morphometric Variables | p. 16 |
2.4 Structural Lines | p. 19 |
2.5 Solar Morphometric Variables | p. 21 |
2.6 Combined Morphometric Variables | p. 23 |
2.7 Landform Classifications | p. 23 |
3 Digital Elevation Models | |
3.1 DEM Generation | p. 31 |
3.2 DEM Grid Types | p. 36 |
3.3 DEM Resolution | p. 38 |
3.4 DEM Interpolation | p. 40 |
4 Calculation Methods | |
4.1 The Evans-Young Method | p. 43 |
4.2 Calculation of Local Morphometric Variables on a Plane Square Grid | p. 45 |
4.3 Calculation of Local Morphometric Variables on a Spheroidal Equal Angular Grid | p. 54 |
4.4 Calculation of Nonlocal Morphometric Variables | p. 59 |
4.5 Calculation of Structural Lines | p. 61 |
5 Errors and Accuracy | |
5.1 Sources of DEM Errors | p. 66 |
5.2 Estimation of DEM Accuracy | p. 70 |
5.3 Calculation Accuracy of Local Morphometric Variables | p. 71 |
5.4 Ignoring of the Sampling Theorem | p. 81 |
5.5 The Gibbs Phenomenon | p. 88 |
5.6 Grid Displacement | p. 93 |
5.7 Linear Artifacts | p. 98 |
6 Filtering | |
6.1 Tasks of DTM Filtering | p. 103 |
6.2 Methods of DTM Filtering | p. 109 |
6.3 Two-dimensional Singular Spectrum Analysis | p. 122 |
7 Mapping and Visualization | |
7.1 Peculiarities of Morphometric Mapping | p. 133 |
7.2 Combined Visualization of Morphometric Variables | p. 135 |
7.3 Cross Sections | p. 135 |
7.4 Three-dimensional Topographic Modeling | p. 136 |
7.5 Combining Hill-shading Maps with Soil and Geological Data | p. 141 |
II Digital Terrain Modeling in Soil Science | |
8 Influence of Topography on Soil Properties | |
8.1 Introduction | p. 145 |
8.2 Local Morphometric Variables and Soil | p. 146 |
8.3 Nonlocal Morphometric Variables and Soil | p. 148 |
8.4 Discussion | p. 149 |
9 Adequate Resolution of Models | |
9.1 Motivation | p. 151 |
9.2 Theory | p. 153 |
9.3 Field Study | p. 157 |
10 Predictive Soil Mapping | |
10.1 The Dokuchaev Hypothesis as a Central Idea of Soil Predictions | p. 167 |
10.2 Early Models | p. 170 |
10.3 Current Predictive Methods | p. 172 |
10.4 Topographic Multivariable Approach | p. 187 |
11 Analyzing Relationships in the "Topography-Soil" System | |
11.1 Motivation | p. 191 |
11.2 Study Sites | p. 192 |
11.3 Materials and Methods | p. 195 |
11.4 Results and Discussion | p. 214 |
III Digital Terrain Modeling in Geology | |
12 Folds and Folding | |
12.1 Introduction | p. 223 |
12.2 Fold Geometry and Fold Classification | p. 223 |
12.3 Predicting the Degree of Fold Deformation and Fracturing | p. 225 |
12.4 Folding Models and the Theorema Egregium | p. 226 |
13 Lineaments and Faults | |
13.1 Motivation | p. 231 |
13.2 Theory | p. 235 |
13.3 Method Validation | p. 237 |
13.4 Two Case Studies | p. 241 |
14 Accumulation Zones and Fault Intersections | |
14.1 Motivation | p. 255 |
14.2 Study Area | p. 257 |
14.3 Materials and Methods | p. 258 |
14.4 Results and Discussion | p. 261 |
15 Global Topography and Tectonic Structures | |
15.1 Motivation | p. 263 |
15.2 Materials and Data Processing | p. 266 |
15.3 Results and Discussion | p. 269 |
16 Synthesis | p. 285 |
Appendix A The Mathematical Basis of Local Morphometric Variables, by Peter A. Shary | |
A.1 Gradient, Flow Lines, and Special Points | p. 289 |
A.2 Aspect and Insolation | p. 294 |
A.3 Curvatures | p. 297 |
A.4 Generating Function | p. 312 |
Appendix B LandLord-A Brief Description of the Software | p. 315 |
References | p. 317 |
Index | p. 367 |
Color Plate Section |