Digital Terrain Analysis, Third Edition

Name: Digital Terrain Analysis, Third Edition
Price: 160 USD
Availability: InStock
ISBN: 9780443247989

by Igor Florinsky

3rd Edition

Publisher: Academic Press

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Earth Sciences

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Book Details

Print ISBN	9780443247989
eText ISBN	9780443247996
Publisher	Academic Press
Publishing Year	2025
Edition	3rd Edition
Language	English
Pages	476

Digital Terrain Analysis, Third Edition, 3rd Edition, is a book authored by Igor Florinsky that synthesizes quantitative methods and practical applications across geomorphometry and digital terrain modeling. The publication presents an integrated and unified view of spatial analysis to assist with multi-scale problem solving in Earth system sciences. It establishes mathematical and conceptual framing for processing spatial elevation data and executing land surface characterization.

The thematic coverage examines interactions between topographic variables and soil systems, establishing analytical frameworks for studying topography-soil relationships and conducting predictive soil mapping. Subsequent chapters address structural geology applications, detailing quantitative approaches for analyzing folds, folding mechanics, lineaments, faults, accumulation zones, fault intersections, and global tectonic patterns.

This volume features a dedicated new section on digital terrain modeling within polar research. The content offers structured analytical support for researchers and advanced students working to implement quantitative spatial models across varied physical geographic settings.

Chapter 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
Chapter 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
Chapter 3: Digital elevation models
- • 3.1 DEM generation
- • 3.2 DEM grids
- • 3.3 DEM resolution
- • 3.4 DEM interpolation
Chapter 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
Chapter 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
Chapter 6: Filtering
- • 6.1 Tasks of DTM filtering
- • 6.2 Methods of DTM filtering
- • 6.3 Two-dimensional singular spectrum analysis
Chapter 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
Chapter 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
Chapter 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
Chapter 10: Adequate resolution of models
- • 10.1 Motivation
- • 10.2 Theory
- • 10.3 Field Study
Chapter 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
Chapter 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
Chapter 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
Chapter 14: Lineaments and faults
- • 14.1 Motivation
- • 14.2 Theory
- • 14.3 Method validation
- • 14.4 Two case studies
Chapter 15: Accumulation zones and fault intersections
- • 15.1 Motivation
- • 15.2 Study area
- • 15.3 Materials and methods
- • 15.4 Results and discussion
Chapter 16: Global topography and tectonic structures
- • 16.1 Motivation
- • 16.2 Materials and data processing
- • 16.3 Results and discussion
Chapter 17: Glacier motion and evolution
- • 17.1 Introduction
- • 17.2 Glacier mass balance
- • 17.3 Ice flow velocity
- • 17.4 Glacier force balance
Chapter 18: Crevasses
- • 18.1 Motivation
- • 18.2 Study area
- • 18.3 Materials and methods
- • 18.4 Results and discussion
Chapter 19: Catastrophic glacier events
- • 19.1 Motivation
- • 19.2 Study area
- • 19.3 Materials and methods
- • 19.4 Results and interpretation
Chapter 20: Antarctic oases
- • 20.1 Motivation
- • 20.2 Study area
- • 20.3 Materials and data processing
- • 20.4 Results
- • 20.5 Discussion
Chapter 21: Concluding remarks and pending problems
- • 21.1 Geomorphometry today
- • 21.2 Theory
- • 21.3 Data processing
- • 21.4 Applications