ALBERT

Anmerkung: Table of Contents Chapter 1 Analysis / John S. Robertson, Karen Bolinger, Lawrence M. Glasser, Neil J.A. Sloane, and Rob Gross Chapter 2 Algebra / Brad Wilson, John Michaels, Patrick J. Driscoll, and Rob Gross Chapter 3 Discrete Mathematics / George K. Tzanetopoulos, Jeff Goldberg, Joseph J. Rushanan, and Mel Hausner Chapter 4 Geometry / Ray McLenaghan and Silvio Levy Chapter 5 Continuous Mathematics / Catherine Roberts and Ray McLenaghan Chapter 6 Special Functions / Ahmed I. Zayed, Nicco M. Temme, and Paul Jameson Chapter 7 Probability and Statistics / William C. Rinaman, Christopher Heil, Michael T. Strauss, Michael Mascagni, and Mike Sousa Chapter 8 Scientific Computing / Gary Stanek Chapter 9 Financial Analysis / Daniel Zwillinger Chapter 10 Miscellaneous / Michael T. Strauss, Rob Gross, and Victor J. Katz List of Notations Index

Anmerkung: Contents Kurzfassung Summary 1 Introduction 1.1 Water Regime of Mountain Forests in Winter 1.2 Thermodynamics of Frozen Soils 1.3 Water Flow Pathways in Frozen Soils 1.4 Water Infiltration into and Runoff from Frozen Soils 1.5 Objectives and Outline of this Study 2 Field Measurements of Water Transport in Frozen Soils 2.1 Abstract 2.2 Introduction 2.3 Materials and Methods 2.3.1 Test Site 2.3.2 Instrumentation 2.3.3 Soil Physical Properties 2.4 Results and Discussion 2.4.1 Entire Observation Period 2.4.2 Particular Snowmelt Events 2.4.3 Water Balance of Particular Snowmelt Events 2.5 Summary and Conclusions 3 Water and Solute Dynamics in Freezing Soil Columns 3.1 Abstract 3.2 Introduction 3.3 Materials and Methods 3.3.1 Experimental Setup 3.3.2 Determination of the Liquid Water Content 3.3.3 Determination of the Solute Concentration 3.3.4 Model Approach for the Freezing Characteristic Curve 3.4 Results and Discussion 3.4.l Calibration Results 3.4.2 The Freezing and Thawing Cycle 3.4.3 Freezing Characteristic Curves 3.5 Conclusions 4 Modelling Runoff Dynamics in Sloped Frozen Soils 4.1 Abstract 4.2 Introduction 4.3 Model Description 4.4 Model Application 4.5 Results and Discussion 4.5.1 Sensitivity Analysis 4.5.2 Model Calibration 4.5.3 Model Validation 4.5.4 Influence of Temporal Resolution on Model Output 4.5.5 Climate Change Scenarios 4.6 Summary and Conclusions 5 Concluding Remarks Appendices A Additional Field Measurements B Additional Cold-laboratory Measurements C Model Parameter File List of Symbols List of Figures List of Tables Bibliography Curriculum Vitae

Anmerkung: Table of Contents: FOREWORD. - CHAPTER 1. INTRODUCTION. - 1.1. Definitions. - 1.2. Practical Scope. - a. The Water Budget. - b. The Energy Budget. - 1.3. Global Climatology. - 1.4. The Transfer of Other Admixtures at the Earth-Atmosphere Interface. - CHAPTER 2. HISTORY OF THE THEORIES OF EVAPORATION - A CHRONOLOGICAL SKETCH. - 2.1. Greek Antiquity. - 2.2. The Roman Period and the Middle Ages. - 2.3. The Seventeenth and Eighteenth Centuries: Initial Measurements and Experimentation. - 2.4. Foundations of Present Theories in the Nineteenth Century. - CHAPTER 3. THE LOWER ATMOSPHERE. - 3.1. Moist Air. - a. Some Parameter Definitions. - b. Useful Forms of the First Law of Thermodynamics. - c. Saturation Vapor Pressure. - 3.2. Hydrostatic Stability of Partly Saturated Atmosphere. - a. Small Adiabatic Displacements. - b. Potential Temperature. - 3.3. Atmospheric Transport of Water Vapor. - a. Conservation of Water Vapor. - b. Other Conservation Equations. - c. Solution of the Transport Equations . - 3.4. The Atmospheric Boundary Layer. - CHAPTER 4. MEAN PROFILES AND SIMILARITY IN A STATIONARY AND HORIZONTALLY UNIFORM ABL. - 4.1. The Dynamic Sublayer. - a. The Logarithmic Profile. - b. The Power Law Approximation. - 4.2. The Surface Sublayer. - a. The Mean Profiles. - b. Some Flux-Profile Functions. - 4.3. Bulk Parameterization of the Whole ABL. - a. Similarity for the Mean Profiles in the Outer Sublayer. - b. Bulk Transfer Equations for the ABL. - 4.4. The Interfacial Sublayers. - a. Similarity for the Mean Profiles. - b. Interfacial Bulk Transfer Equations for Scalar Admixtures. - c. Smooth Surfaces: The Viscous Sublayer. - d. Surfaces with Bluff Roughness Elements. - e. Surfaces with Permeable Roughnesses: The Canopy Sublayer. - CHAPTER 5. THE SURFACE ROUGHNESS PARAMETERIZATION. - 5.1. The Momentum Roughness. - a. Land Surfaces. - b. Water Surfaces. - 5.2. The Scalar Roughness. - a. Calculation from Interfacial Transfer Coefficients. - b. Values Over Water. - CHAPTER 6. ENERGY FLUXES AT THE EARTH'S SURFACE. - 6.1. Net Radiation. - a. Global Short Wave Radiation. - b. Albedo. - c. Long-Wave or Terrestrial Radiation. - 6.2. Energy Absorption by Photosynthesis. - 6.3. Energy Flux at Lower Boundary of the Layer. - a. Land Surfaces. - b. Whole Water Bodies. - c. Water Surfaces. - 6.4. Remaining Terms. - a. Energy Advection. - b. Rate of Change of Energy Stored in the Layer. - CHAPTER 7. ADVECTION EFFECTS NEAR CHANGES IN SURFACE CONDITIONS. - 7.1. The Internal Boundary Layer. - a. Equations for the Mean Field. - b. Methods of Closure for Disturbed Boundary Layers: A Brief Survey. - c. Some General Features of Local Momentum Advection. Fetch Requirement. - 7.2. Evaporation with Local Advection. - a. Analytical Solutions with Power Laws. - b. Numerical Studies. - CHAPTER 8. METHODS BASED ON TURBULENCE MEASUREMENTS. - 8.1. Direct or Eddy-Correlation Method. - a. Instruments. - b. Requirements on Instrumentation. - 8.2. The Dissipation Method. - a. The Direct Variance Dissipation Method. - b. The Inertial Dissipation (or Spectral Density) Method. - CHAPTER 9. METHODS BASED ON MEASUREMENTS OF MEAN PROFILES. - 9.1. Mean Profile Method With Similarity Formulations. - a. Measurements in the Surface Sublayer. - b. Measurements in the Dynamic Sublayer. - c. Upper-Air Measurements: The ABL Profile Method. - 9.2. Bulk Transfer Approach. - a. Over a Uniform Surface. - b. Evaporation From Lakes. - 9.3. Sampling Times. - CHAPTER 10. ENERGY BUDGET AND RELATED METHODS. - 10.1. Standard Application. - a. With Bowen Ratio (EBBR). - b. With Profiles of Mean Wind and of One Scalar (EBWSP). - 10.2. Simplified Methods for Wet Surfaces. - a. Some Comments on Potential Evaporation. - b. The EBWSP Method With Measurements at One Level. - c. Advection-Free Evaporation from Wet Surfaces. - 10.3. Simplified Methods for Actual Evapotranspiration. - a. Adjustment of Penman's Approach With Bulk Stomatal Resistance. - b. Complementary Relationships between Actual and Potential Evaporation. - c. Extensions of Equilibrium Evaporation Concept. - CHAPTER 11. MASS BUDGET METHODS. - 11.1 Terrestrial Water Budget a. Soil Water Depletion and Seepage. - b. River Basins and Other Hydrological Catchments. - c. Lakes and Open-water Reservoirs. - d. Water Budget-Related Instruments; Evaporimeters. - 11.2. Atmospheric Water Budget a. Concept and Formulation b. Application of the Method . - HISTORICAL REFERENCES (PRIOR TO 1900). - REFERENCES. - INDEX.

Anmerkung: N.F. entfällt ab 57.2000. - Volltext auch als Teil einer Datenbank verfügbar , Ersch. ab 2000 in engl. Sprache mit dt. Hauptsacht.

Anmerkung: Contents Chapter 1 Introduction 1.1 Goals of this Book 1.2 Current Status of Resources 1.2.1 Ozone Hole 1.2.2 Water-Borne Soil Erosion 1.2.3 Loss of Biodiversity 1.3 Impact of Resource Degradation 1.4 Nature of Resource ;Degradation 1.5 Nature of Resource Management 1.5.1 Strategic Management 1.5.2 Process or Regional Management 1.5.3 Operational Management 1.5.4 Relationship between These Levels of Management 1.6 Nature of Regional Resource Management Information Systems 1.7 Geographic Information in Resource Management 1.8 Structure of this Book Reference Chapter2 Physical Principles of Remote Sensing 2.1 Introduction 2.2 Electromagnetic Radiation 2.2.1 Nature of Electromagnetic Radiation 2.2.2 Radiometric Terms and Definitions 2.2.3 Energy Radiated by the Sun and the Earth 2.2.4 Effects of the Atmosphere 2.2.5 Correction of Remotely Sensed Data for Attenuation through the Atmosphere 2.2.5 .1 Atmospheric Correction Using Field Data 2.2.5.2 Atmospheric Correction Using Numerical Atmospheric Models 2.2.6 Measurement of Radiance and Irradiance 2.2.6.1 Collecting Optics 2.2.6.2 Filter Unit 2.2.6.3 Detectors 2.2.6.4 Output Device 2.3 Interaction of Radiation with Matter 2.3.1 Nature of Reflectance 2.3.1.1 Reflectance within the Boundary Layer 2.3.2 Reflectance of Water Surfaces 2.3.3 Reflectance Characteristics of Soils 2.3.4 Reflectance of Vegetation 2.3.5 Reflectance Characteristics of Green Leaves 2.3.6 Reflectance Characteristics of Dead Leaves 2.3.7 Vegetative Canopy Reflectance 2.3.8 Bi-Directional Reflectance Distribution Function of Surfaces 2.4 Passive Sensing Systems 2.4.1 The Camera 2.4.1.1 Lens Cone 2.4.1.2 Magazine or Digital Back 2.4.1.3 Camera Body 2.4.1.4 Suspension Mount 2.4.1.5 Light Sensitive Cell Arrays 2.4.1.6 Measurement of Resolution in Image Data 2.4.2 Acquisition of Aerial Photography with a Framing Camera 2.4.2.1 Effects of Height Differences on an Aerial Photograph 2.4.2.2 Types of Lens Cones 2.4.3 The Scanner 2.4.4 The Moving Mirror Scanner 2.4.4.1 Resolution of Scanner Data 2.4.4.2 Thermal Scanner Data 2.4.4.3 Sources of Error in Oscillating Mirror Scanner Imagery 2.4.5 Push broom Scanners 2.5 Active Sensing Systems 2.5 .1 Introduction 2.5.2 The Geometry of Radar Systems 2.5 .2.1 Resolution of Radar Data 2.5.2.2 Effect of Height Displacements 2.5.3 The Attenuation and Scattering of Radar in the Atmosphere 2.5 .4 The Information Content of Radar Imagery 2.5.4.1 Surface Roughness and Slope 2.5.4.2 Inhomogeneity 2.5.4.3 Dielectric Properties 2.5.4.4 Resonance-Sized Objects 2.5.4.5 Wavelength 2.5.4.6 Polarisation 2.5.5 Radar Interferometry 2.5.6 Summary 2.6 Hyperspectral Image Data 2.6.1 Definition 2.6.2 Applications of Hyperspectral Image Data 2.7 Hypertemporal Image Data 2.7.1 Introduction 2.8 Platforms 2.8.1 Terrestrial Platforms 2.8.2 Balloon 2.8.3 Helicopter or Boat 2.8.4 Manned and Unmanned Aircraft 2.8.4.1 Hot Spots 2.8.5 Planning an Aerial Sortie 2.8.6 Satellite Platform 2.9 Satellite Sensor Systems Additional Reading References Chapter 3 Visual Interpretation and Map Reading 3.1 Overview 3.1.1 Remotely Sensed Data and Visual Interpretation 3.1.2 Effects of Height Differences on Remotely Sensed Images 3.2 Stereoscopy 3.2.1 Introduction 3.2.2 Monocular Vision 3.2.3 Binocular Vision 3.2.4 Binocular Perception of Colour 3.2.5 General Principles of Stereoscopic Vision 3.2.6 Methods of Stereoscopic Viewing 3.2.7 Physical Methods of Separation Using Stereoscopes 3.2.8 Viewing with a Stereoscope 3.2.9 Optical Methods of Separation 3.2.9.1 Coloured Anaglyph 3.2.9.2 Polarising Filters 3.2.10 Construction of a Stereo-Triplet 3.3 Measuring Height Differences in a Stereoscopic Pair of Photographs 3.3.1 Principle of the Floating Mark 3.3.2 Parallax Bar 3.3.3 Vertical Exaggeration 3.3.4 Displacements due to Height Differences man Aenal Photograph 3.3.5 Derivation of the Parallax Bar Formulae 3.3.6 Characteristics of the Parallax Bar Equation 3.4 Planimetric Measurements on Aerial Photographs 3.4.1 Introduction 3.4.2 Determination of Scale 3.4.3 Measurement of Distances 3.4.3.1 Graduated Rule or Scale 3.4.3.2 Paper Strip 3.4.3.3 Length of String 3.4.3.4 Odometer 3.4.4 Measurement of Areas 3.4.4.1 Dot Grid 3.4.4.2 Digitiser 3.4.5 Transfer of Planimetric Detail by the Use of the Anharmoruc Ratio 3.4.5.1 Paper Strip Method 3.4.5.2 Projective Nets 3.4.6 Proportional Dividers 3.5 Perception of Colour 3.6 Principles of Photographic Interpretation 3.6.1 Introduction 3.6.2 Levels of Interpretation 3.6.2.1 Image Reading 3.6.2.2 Image Analysis 3.6.2.3 Image Interpretation 3.6.3 Principles of Object Recognition 3.6.3.1 Size 3.6.3.2 Shape 3.6.3.3 Shadow 3.6.3.4 Colour or Tone 3.6.3 .5 Pattern and Texture 3.6.4 Interpretation Strategies 3.6.4.1 Location and Association 3.6.4.2 Temporal Change 3.6.4.3 Convergence of Evidence 3.6.5 Interpretation Procedure 3.7 Visual Interpretation of lmages 3.7.1 Visual Interpretation of Thermal Image Data 3.7.2 Visual Interpretation of Radar Image Data 3.8 Maps and Map Reading 3.8.1 Map Projections 3.8.1.1 Definition of the Mathematical Shape of the Portion of the Earth 3.8.1.2 Specify How the Curved Surface of the Earth is to be Unfolded onto a Flat Sheet 3.8.2 Mapping Systems and Map Types 3.8.3 Map Co-ordinates and Bearings 3.8.4 Establishing One's Location on a Map 3.8.5 Map Reading on a Topographic.Map 3.8.6 Terrain Classification Further Reading References Chapter4 Image Processing 4.1 Overview 4.1.1 Pre-Processing 4.1.2 Enhancement 4.1.3 Classification 4.1.4 Estimation 4.1.5 Temporal Analysis 4.2 Statistical Considerations 4.2.1 Probability Density Functions 4.2.1.1 Binomial Distribution 4.2.1.2 Normal Distribution 4.2.2 Correlation 4.2.3 Statistical Characteristics of Satellite Scanner Data 4.2.4 Measures of Distance 4.2.5 Shannon's Sampling Theorem 4.2.6 Autocorrelation and Variograms 4.2.7 Frequency Domain 4.2.7.1 Scaling 4.2.7.2 Shifting 4.2.7.3 Convolution 4.2.8 Least Squares Method of Fitting 4.3 Pre-Processing of Image Data 4.3.1 Introduction 4.3.2 Rectification 4.3.2.1 Theoretical Basis for Rectification 4.3.2.2 Correction for Systematic Errors 4.3.2.3 Fitting Image Data to Ground Control 4.3.2.4 Resampling the Image Data 4.3.2.5 Windowing and Mosaicing 4.3.2.6 Rectification in Practice 4.3 .3 Radiometric Calibration 4.3.4 Atmospheric Correction 4.3.4.1 Use of a Linear Model for Atmospheric Correction 4.3.4.2 Atmospheric Correction Using Atmospheric Models 4.4 The Enhancement of Image Data 4.4.1 Radiometric Enhancement 4.4.1.1 Display of an Image 4.4.1.2 Pseudo-Colour Density Slice 4.4.1.3 Linear Enhancement 4.4.1.4 Non-Linear Enhancements 4.4.1.5 Piecewise Linear Stretch 4.4.1.6 Histogram Equalisation 4.4.2 Spectral Enhancements 4.4.2.1 Ratioing 4.4.2.2 Orthogonal Transformations 4.4.2.3 Vegetation Indices 4.4.2.4 Fourier Transformation 4.4.3 Spatial Transformations of Image Data 4.4.3.1 Measurement of Texture 4.4.3.2 Edge Detection 4.4.3.3 Removal of Regular Noise in Image Data 4.4.3.4 Analysis of Spatial Correlation: The Variogram 4.4.3.5 Image Segmentation 4.4.3 .6 Object Patterns and Object Sizes: The ALV Function 4.4.4 Temporal Enhancements 4.4.4.1 Temporal Enhancement 4.4.4.2 Principal Components 4.4.4.3 Temporal Distance Images 4.4.4.4 Fourier Analysis of Hypertemporal Data 4.5 Analysis of Mixtures or End Member Analysis 4.5.1 Linear End Member Model 4.5.2 Characteristics of the Linear End Member Model 4.5.3 Identification of End Members 4.5.4 Implementation of the Linear End Member Algorithm 4.6 Image Classification 4.6.1 Principles of Classification 4.6.2 Discriminant Function Classifiers 4.6.2.1 Development of the Maximum Likelihood Classifier 4.6.2.2 Summary 4.6.2.3 Characteristics of the Discriminant Function Family of Classifiers 4.6.2.4 Implementation of the Maximum Likelihood Classifier 4.6.3 Fuzzy Classifiers 4.6.4 Neural Network Classifiers 4.6.5 Hierarchical Classifiers 4.6.6 Classification Strategies 4.6.6.1 Types of Classes 4.6.6.2 Selecting Classes and Classifiers 4.6.6.3 Im