Digital Terrain Analysis, Third 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 four parts, the examining the main concepts, principles, and methods of digital terrain modeling; methods for analysis, modeling, and mapping of spatial distribution; techniques for recognition, analysis, and interpretation of topographically manifested geological features; and finally the brand new fourth part investigates polar research. Digital Terrain Analysis in Soil…mehr
Digital Terrain Analysis, Third 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 four parts, the examining the main concepts, principles, and methods of digital terrain modeling; methods for analysis, modeling, and mapping of spatial distribution; techniques for recognition, analysis, and interpretation of topographically manifested geological features; and finally the brand new fourth part investigates polar research. Digital Terrain Analysis in Soil Science and Geology, Third Edition, is an updated and revised edition, providing both a theoretical and methodological basis for understanding and applying geographical modeling techniques.
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.
Inhaltsangabe
1 Digital terrain analysis: past and present 1.1 Why topography? 1.2 A short historical overview 1.3 Current advances in digital terrain analysis Part I: Principles and Methods of Digital Terrain Modeling 2 Topographic surface and its characterization 2.1 Topographic surface 2.2 Local morphometric variables 2.3 Nonlocal morphometric variables 2.4 Structural morphometric variables 2.5 Two-field specific morphometric variables 2.6 Combined morphometric variables 2.7 Landform classifications 3 Digital elevation models 3.1 DEM generation 3.2 DEM grids 3.3 DEM resolution 3.4 DEM interpolation 4 Calculation methods 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 on a sphere and an ellipsoid of revolution 4.4 Calculation of nonlocal morphometric variables 4.5 Calculation of structural morphometric variables 4.6 Calculation of two-field specific morphometric variables 4.7 Calculation of combined morphometric variables 4.8 Calculation of landform classifications 4.9 Calculations on a triaxial ellipsoid 5 Errors and accuracy 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 6 Filtering 6.1 Tasks of DTM filtering 6.2 Methods of DTM filtering 6.3 Two-dimensional singular spectrum analysis 7 Universal spectral analytical modeling 7.1 Motivation 7.2 Method 7.3 Algorithm 7.4 Materials and data processing 7.5 Results and discussion 8 Mapping and visualization 8.1 Peculiarities of morphometric mapping 8.2 Combined visualization of morphometric variables 8.3 Combining hill-shaded maps with soil and geological data 8.4 Cross sections 8.5 Three-dimensional modeling 8.6 Virtual globes Part II: Digital Terrain Modeling in Soil Science 9 Influence of topography on soil properties 9.1 Introduction 9.2 Local morphometric variables and soil 9.3 Nonlocal morphometric variables and soil 9.4 Discussion 10 Adequate resolution of models 10.1 Motivation 10.2 Theory 10.3 Field Study 11 Predictive soil mapping 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 12 Analyzing relationships in the topography-soil system 12.1 Motivation 12.2 Study sites 12.3 Materials and methods 12.4 Results and discussion Part III: Digital Terrain Modeling in Geology 13 Folds and folding 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 14 Lineaments and faults 14.1 Motivation 14.2 Theory 14.3 Method validation 14.4 Two case studies 15 Accumulation zones and fault intersections 15.1 Motivation 15.2 Study area 15.3 Materials and methods 15.4 Results and discussion 16 Global topography and tectonic structures 16.1 Motivation 16.2 Materials and data processing 16.3 Results and discussion Part IV: Digital Terrain Modeling in Glaciology and Polar Research 17 Glacier motion and evolution 17.1 Introduction 17.2 Glacier mass balance 17.3 Ice flow velocity 17.4 Glacier force balance 18 Crevasses 18.1 Motivation 18.2 Study area 18.3 Materials and methods 18.4 Results and discussion 19 Catastrophic glacier events 19.1 Motivation 19.2 Study area 19.3 Materials and methods 19.4 Results and interpretation 20 Antarctic oases 20.1 Motivation 20.2 Study area 20.3 Materials and data processing 20.4 Results 20.5 Discussion 21 Concluding remarks and pending problems 21.1 Geomorphometry today 21.2 Theory 21.3 Data processing 21.4 Applications
1 Digital terrain analysis: past and present 1.1 Why topography? 1.2 A short historical overview 1.3 Current advances in digital terrain analysis Part I: Principles and Methods of Digital Terrain Modeling 2 Topographic surface and its characterization 2.1 Topographic surface 2.2 Local morphometric variables 2.3 Nonlocal morphometric variables 2.4 Structural morphometric variables 2.5 Two-field specific morphometric variables 2.6 Combined morphometric variables 2.7 Landform classifications 3 Digital elevation models 3.1 DEM generation 3.2 DEM grids 3.3 DEM resolution 3.4 DEM interpolation 4 Calculation methods 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 on a sphere and an ellipsoid of revolution 4.4 Calculation of nonlocal morphometric variables 4.5 Calculation of structural morphometric variables 4.6 Calculation of two-field specific morphometric variables 4.7 Calculation of combined morphometric variables 4.8 Calculation of landform classifications 4.9 Calculations on a triaxial ellipsoid 5 Errors and accuracy 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 6 Filtering 6.1 Tasks of DTM filtering 6.2 Methods of DTM filtering 6.3 Two-dimensional singular spectrum analysis 7 Universal spectral analytical modeling 7.1 Motivation 7.2 Method 7.3 Algorithm 7.4 Materials and data processing 7.5 Results and discussion 8 Mapping and visualization 8.1 Peculiarities of morphometric mapping 8.2 Combined visualization of morphometric variables 8.3 Combining hill-shaded maps with soil and geological data 8.4 Cross sections 8.5 Three-dimensional modeling 8.6 Virtual globes Part II: Digital Terrain Modeling in Soil Science 9 Influence of topography on soil properties 9.1 Introduction 9.2 Local morphometric variables and soil 9.3 Nonlocal morphometric variables and soil 9.4 Discussion 10 Adequate resolution of models 10.1 Motivation 10.2 Theory 10.3 Field Study 11 Predictive soil mapping 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 12 Analyzing relationships in the topography-soil system 12.1 Motivation 12.2 Study sites 12.3 Materials and methods 12.4 Results and discussion Part III: Digital Terrain Modeling in Geology 13 Folds and folding 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 14 Lineaments and faults 14.1 Motivation 14.2 Theory 14.3 Method validation 14.4 Two case studies 15 Accumulation zones and fault intersections 15.1 Motivation 15.2 Study area 15.3 Materials and methods 15.4 Results and discussion 16 Global topography and tectonic structures 16.1 Motivation 16.2 Materials and data processing 16.3 Results and discussion Part IV: Digital Terrain Modeling in Glaciology and Polar Research 17 Glacier motion and evolution 17.1 Introduction 17.2 Glacier mass balance 17.3 Ice flow velocity 17.4 Glacier force balance 18 Crevasses 18.1 Motivation 18.2 Study area 18.3 Materials and methods 18.4 Results and discussion 19 Catastrophic glacier events 19.1 Motivation 19.2 Study area 19.3 Materials and methods 19.4 Results and interpretation 20 Antarctic oases 20.1 Motivation 20.2 Study area 20.3 Materials and data processing 20.4 Results 20.5 Discussion 21 Concluding remarks and pending problems 21.1 Geomorphometry today 21.2 Theory 21.3 Data processing 21.4 Applications
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