Muutke küpsiste eelistusi

Digital Terrain Analysis in Soil Science and Geology [Kõva köide]

(Principal Research Scientist, Institute of Mathematical Problems of Biology, The Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Pushchino, Russia)
  • Formaat: Hardback, 432 pages, kõrgus x laius: 229x152 mm, kaal: 810 g
  • Ilmumisaeg: 02-Nov-2011
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0123850363
  • ISBN-13: 9780123850362
Teised raamatud teemal:
  • Kõva köide
  • Hind: 159,85 €*
  • * saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
  • See raamat on trükist otsas, kuid me saadame teile pakkumise kasutatud raamatule.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Lisa soovinimekirja
Digital Terrain Analysis in Soil Science and GeologySuurem pilt
  • Formaat: Hardback, 432 pages, kõrgus x laius: 229x152 mm, kaal: 810 g
  • Ilmumisaeg: 02-Nov-2011
  • Kirjastus: Academic Press Inc
  • ISBN-10: 0123850363
  • ISBN-13: 9780123850362
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780123850362.html
Märksõnad:
"This book is the first attempt to synthesize knowledge on theory, methods, and applications of digital terrain analysis in the context of multiscale problems of soil science and geology. The content of the book is based on long-standing, interdisciplinary research of the author. The book is addressed to geomorphometrists, soil scientists, geologists, geoscientists, geomorphologists, geographers, and GIS scientists (at scholar, lecturer, and postgraduate student levels, with mathematical skills). This book is also intended for the GIS professionals in industry and research laboratories focusing on geoscientific and soil research. The book is divided into three parts. Part I represents main concepts, principles, and methods of digital terrain modeling. Part II discusses various aspects of the use of digital terrain analysis in soil science. Part III looks at applications of digital terrain modeling in geology"--

Provided by publisher.

Muu info

Digital Terrain Analysis in Soil Science and Geology offers an integrated and mathematically sound source for decision making in digital terrain analysis.
Preface ix
Acknowledgments xv
Abbreviations and acronyms xvii
1 Digital Terrain Modeling: A Brief Historical Overview 1(4)
I Principles And Methods Of Digital Terrain Modeling 5(140)
2 Morphometric Variables
2.1 Topographic Surface
7(2)
2.2 Local Morphometric Variables
9(7)
2.3 Nonlocal Morphometric Variables
16(3)
2.4 Structural Lines
19(2)
2.5 Solar Morphometric Variables
21(2)
2.6 Combined Morphometric Variables
23(1)
2.7 Landform Classifications
23(8)
3 Digital Elevation Models
3.1 DEM Generation
31(5)
3.2 DEM Grid Types
36(2)
3.3 DEM Resolution
38(2)
3.4 DEM Interpolation
40(3)
4 Calculation Methods
4.1 The Evans-Young Method
43(2)
4.2 Calculation of Local Morphometric Variables on a Plane Square Grid
45(9)
4.3 Calculation of Local Morphometric Variables on a Spheroidal Equal Angular Grid
54(5)
4.4 Calculation of Nonlocal Morphometric Variables
59(2)
4.5 Calculation of Structural Lines
61(5)
5 Errors and Accuracy
5.1 Sources of DEM Errors
66(4)
5.2 Estimation of DEM Accuracy
70(1)
5.3 Calculation Accuracy of Local Morphometric Variables
71(10)
5.4 Ignoring of the Sampling Theorem
81(7)
5.5 The Gibbs Phenomenon
88(5)
5.6 Grid Displacement
93(5)
5.7 Linear Artifacts
98(5)
6 Filtering
6.1 Tasks of DTM Filtering
103(6)
6.2 Methods of DTM Filtering
109(13)
6.3 Two-dimensional Singular Spectrum Analysis
122(11)
7 Mapping and Visualization
7.1 Peculiarities of Morphometric Mapping
133(2)
7.2 Combined Visualization of Morphometric Variables
135(1)
7.3 Cross Sections
135(1)
7.4 Three-dimensional Topographic Modeling
136(5)
7.5 Combining Hill-shading Maps with Soil and Geological Data
141(4)
II Digital Terrain Modeling In Soil Science
8 Influence of Topography on Soil Properties
8.1 Introduction
145(1)
8.2 Local Morphometric Variables and Soil
146(2)
8.3 Nonlocal Morphometric Variables and Soil
148(1)
8.4 Discussion
149(2)
9 Adequate Resolution of Models
9.1 Motivation
151(2)
9.2 Theory
153(4)
9.3 Field Study
157(10)
10 Predictive Soil Mapping
10.1 The Dokuchaev Hypothesis as a Central Idea of Soil Predictions
167(3)
10.2 Early Models
170(2)
10.3 Current Predictive Methods
172(15)
10.4 Topographic Multivariable Approach
187(4)
11 Analyzing Relationships in the "Topography-Soil" System
11.1 Motivation
191(1)
11.2 Study Sites
192(3)
11.3 Materials and Methods
195(19)
11.4 Results and Discussion
214(9)
III Digital Terrain Modeling In Geology
12 Folds and Folding
12.1 Introduction
223(1)
12.2 Fold Geometry and Fold Classification
223(2)
12.3 Predicting the Degree of Fold Deformation and Fracturing
225(1)
12.4 Folding Models and the Theorema Egregium
226(5)
13 Lineaments and Faults
13.1 Motivation
231(4)
13.2 Theory
235(2)
13.3 Method Validation
237(4)
13.4 Two Case Studies
241(14)
14 Accumulation Zones and Fault Intersections
14.1 Motivation
255(2)
14.2 Study Area
257(1)
14.3 Materials and Methods
258(3)
14.4 Results and Discussion
261(2)
15 Global Topography and Tectonic Structures
15.1 Motivation
263(3)
15.2 Materials and Data Processing
266(3)
15.3 Results and Discussion
269(16)
16 Synthesis
285(4)
Appendix A: The Mathematical Basis of Local Morphometric Variables
Peter A. Shary
A.1 Gradient, Flow Lines, and Special Points
289(5)
A.2 Aspect and Insolation
294(3)
A.3 Curvatures
297(15)
A.4 Generating Function
312(3)
Appendix B: LandLord-A Brief Description of the Software 315(2)
References 317(50)
Index 367
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.