ALBERT

Note: Contents Preface 1 Data Analysis in Earth Sciences 1.1 Introduction 1.2 Collecting Data 1.3 Types of Data 1.4 Methods of Data Analysis Recommended Reading 2 Introduction to MATLAB 2.1 MATLAB in Earth Sciences 2.2 Getting Started 2.3 The Syntax 2.4 Data Storage 2.5 Data Handling 2.6 Scripts and Functions 2.7 Basic Visualization Tools Recommended Reading 3 Univariate Statistics 3.1 Introduction 3.2 Empirical Distributions Measures of Central Tendency Measures of Dispersion 3.3 Example of Empirical Distributions 3.4 Theoretical Distributions Uniform Distribution Binomial or Bernoulli Distribution Poisson Distribution Normal or Gaussian Distribution Logarithmic Normal or Log-Normal Distribution Student's t Distribution Fisher's F Distribution Χ2 or Chi-Squared Distribution 3.5 Example ofTheoretical Distributions 3.6 Thet-Test 3.7 TheF-Test 3.8 The Χ2-Test Recommended Reading 4 Bivariate Statistics 4.1 Introduction 4.2 Pearson's Correlation Coefficient 4.3 Classical Linear Regression Analysis and Prediction 4.4 Analyzing the Residuals 4.5 Bootstrap Estimates of the Regression Coefficients 4.6 Jackknife Estimates of the Regression Coefficients 4.7 Cross Validation 4.8 Reduced Major Axis Regression 4.9 Curvilinear Regression Recommended Reading 5 Time-Series Analysis 5.1 Introduction 5.2 Generating Signals 5.3 Blackman-Tukey Autospectral Analysis 5.4 Blackman-Tukey Crossspectral Analysis 5.5 Interpolating and Analyzing Unevenly-Spaced Data 5.6 Evolutionary Blackman-Tukey Powerspectrum 5.7 Lomb-Scargle Powerspectrum 5.8 Wavelet Powerspectrum 5.9 Nonlinear Time-Series Analysis (by N. Marwarn) Phase Space Portrait Recurrence Plots Recommended Reading 6 Signal Processing 6.1 Introduction 6.2 Generating Signals 6.3 Linear Time-Invariant Systems 6.4 Convolution and Filtering 6.5 Comparing Functions for Filtering Data Series 6.6 Recursive and Nonrecursive Filters 6.7 Impulse Response 6.8 Frequency Response 6.9 Filter Design 6.10 Adaptive Filtering Recommended Reading 7 Spatial Data 7.1 Types of Spatial Data 7.2 The GSHHS Shoreline Data Set 7.3 The 2-Minute Gridded Global Elevation Data ETOPO2 7.4 The 30-Arc Seconds Elevation Model GTOPO30 7.5 The Shuttle Radar Topography Mission SRTM 7.6 Gridding and Contouring Background 7.7 Gridding Example 7.8 Comparison of Methods and Potential Artifacts 7.9 Statistics of Point Distributions Test for Uniform Distribution Test for Random Distribution Test for Clustering 7.10 Analysis of Digital Elevation Models (by R. Gebbers) 7.11 Geostatistics and Kriging (by R. Gebbers) Theorical Background Preceding Analysis Variography with the Classical Variogram Kriging Discussion of Kriging Recommended Reading 8 Image Processing 8.1 Introduction 8.2 Datastorage 8.3 Importing, Processing and Exporting Images 8.4 Importing, Processing and Exporting Satellite Images 8.5 Georeferencing Satellite Images 8.6 Digitizing from the Screen Recommended Reading 9 Multivariate Statistics 9.1 Introduction 9.2 Principal Component Analysis 9.3 Independent Component Analysis (by N. Marwan) 9.4 Cluster Analysis Recommended Reading 10 Statistics on Directional Data 10.1 Introduction 10.2 Graphical Representation 10.3 Empirical Distributions 10.4 Theoretical Distributions 10.5 Test for Randomness of Directional Data 10.6 Test for the Significance of a Mean Direction 10.7 Test for the Difference of Two Sets of Directions Recommended Reading General Index

Note: Contents 1. Introductory Remarks on Remote Sensing / E. SCHANDA 1.1 Application Areas of Remote Sensing 1.2 Sensing Systems 1.3 Remote Sensing and Spectral Constraints 2. Aerospace Photography / A. E. SALERNO 2.1 Introduction 2.2 Characteristics of Photographic Process 2.2.1 Sensitometry General 2.2.2 The Characteristic Curve 2.2.3 Development Control 2.2.4 Exposure Control 2.2.5 Film Speed 2.2.6 Reciprocity Law Anomalies 2.2.7 Density Measurement 2.2.8 Measurement of Color 2.2.9 Tone Reproduction Theory 2.2.10 Spectral Sensitivity 2.2.11 Resolution 2.2.12 Granularity 2.2.13 Dimensional Stability and Mechanical Properties 2.3 Cameras and Films 2.3.1 Cameras (General) 2.3.2 Aerial Cameras — Common Features 2.3.3 Optical System 2.3.4 Calibration 2.3.5 Image Motion 2.3.6 Hand Held Cameras 2.3.7 Special Cameras 2.3.8 Film (General) 2.3.9 Aerial Photographic Materials 2.3.10 Black-and-White Camera Films 2.3.11 Color Camera Films 2.4 Photographic Attributes of Earth Sciences 2.4.1 Agriculture 2.4.2 Geography and Geology 2.4.3 Hydrology and Oceanography 2.4.4 Anomalies, Atmospheric 2.4.5 Factors Affecting the Photo Image 2.4.6 Image Formation on Color Film 2.4.7 Processing of Color Film 2.4.8 Photo Systems, Choice 2.4.9 Image Enhancement Procedure Bibliography 3. Infrared Sensing Methods / P. W. SCHAPER 3.1 Introduction 3.2 The Infrared Radiation Field 3.3 Fundamentals of Measurement 3.4 Methods of Measurement 3.4.1 The Single Element Radiometer 3.4.2 Imaging Radiometers 3.4.3 Multi Wavelength Channel Radiometers 3.4.4 Spectrometers 3.4.5 Interferometers 3.5 Applications 3.6 Data Interpretation Error Sources 3.7 Expectations of the Near Future References 4. Laser Applications in Remote Sensing / R.T.H. COLLIS and P. B. RUSSELL 4.1 Introduction 4.1.1 Scope and Definitions 4.1.2 Technical Approaches 4.2 Fundamentals of Physical Processes Involved 4.2.1 Specular Reflection and Elastic (Non-resonant) Scattering 4.2.2 Inelastic and Resonant Scattering 4.2.3 Resonant Absorption 4.2.4 Doppler Effects 4.2.5 Polarization 4.3 Instrumentation 4.3.1 System Concepts 4.3.2 System Configuration 4.3.3 Lasers 4.3.4 Photodetection 4.3.5 Eye Safety 4.3.6 Viewpoint of Remote Sensing 4.4 Applications 4.4.1 General 4.4.2 Backscattering Techniques - Non-resonant Elastic Scattering 4.4.3 Inelastic and Resonant Backscattering 4.4.4 Resonant Absorption 4.4.5 Doppler Techniques 4.4.6 Polarization References 5. Radar Methods / G.P. DE LOOR 5.1 General Aspects 5.1.1 Introduction 5.1.2 Resolution 5.1.3 Image Build-up; Flight Procedure 5.1.4 Parallax 5.1.5 Image Correction 5.1.6 Registration of the Radar Signals 5.2 Backgrounds 5.2.1 Introduction 5.2.2 The Radar Equation 5.2.3 Ground Returns 5.3 Applications 5.3.1 Introduction 5.3.2 Geography 5.3.3 Geology 5.3.4 Vegetation Studies 5.3.5 Sea, Coastal and Oceanographic Studies 5.4 Conclusion References 6. Passive Microwave Sensing / E. SCHANDA 6.1 Principles of Passive Microwave Remote Sensing 6.1.1 Physical Fundamentals of Microwave Radiometry 6.1.2 Semitransparent Media 6.1.3 The Effects of the Atmosphere 6.2 Instrumental Aspects of Microwave Radiometry 6.2.1 The Sensitivity of a Microwave Radiometer 6.2.2 Other Types of Radiometers 6.2.3 Angular Resolution and Range of Passive Microwave Sensing 6.2.4 Realisations of Microwave Radiometers 6.3 Emissive Properties of Materials on the Surface of the Earth 6.3.1 Plane Surfaces of Homogeneous Materials 6.3.2 Heterogeneous Media 6.3.3 Rough Surfaces 6.3.4 Various Investigations on Emissivities 6.4 Remote Determination of Atmospheric Constituents by Their Micro-wave Spectra 6.4.1 The Absorption Coefficients of the Line Spectra 6.4.2 Determinations of Height Profiles 6.5 Passive Microwave Remote Sensing of Water, Ice and Snow 6.5.1 Investigations of Water Surfaces 6.5.2 Investigations of Ice and Snow 6.6 Investigations of the Soil, Vegetation and Geological Features 6.7 Investigations of the Atmosphere and of Meteorological Features 6.7.1 Sounding of Atmospheric Constituents from Molecular Line Radiation 6.7.2 Observation of Meteorological Features References 7. Applications of Gamma Radiation in Remote Sensing / R.L. GRASTY 7.1 The Natural Gamma-radiation Field 7.2 Gamma-ray Detector Systems 7.3 Operational Procedures 7.3.1 Background Radiation 7.3.2 Height Correction 7.3.3 Calibration and Spectral Stripping 7.4 Applications 7.4.1 Mineral Exploration 7.4.2 Geological Mapping 7.4.3 Water-equivalent Snow Measurements 7.4.4 Soil Moisture Measurement 7.4.5 Monitoring Nuclear Facilities 7.5 Future Prospects References 8. Sonar Methods / D.J. CREASEY 8.1 Introduction 8.2 Propagation of Acoustic Energy 8.2.1 General 8.2.2 Absorption Losses in Water 8.2.3 Beam Bending in Water 8.2.4 Propagation in Air 8.3 The Sonar Equation 8.3.1 Transducers and Arrays 8.3.2 Noise and Reverberation 8.3.3 Signal to Noise Ratio and Signal to Reverberation Ratio 8.3.4 Interference Signals in Air 8.4 Factors Affecting Resolution in a Sonar System 8.4.1 General 8.4.2 Range Resolution 8.4.3 Bearing Resolution 8.4.4 Doppler Effect in Sonar 8.5 Applications 8.5.1 Echo Sounding 8.5.2 Sonars with Fixed Beams 8.5.3 Mechanically Rotated Sonar Array Systems 8.5.4 Side-scan Sonars 8.5.5 Sub-bottom Profiling Systems 8.5.6 Sonars with Sectors Scanned Electronically 8.5.7 Remote Sensing Application of Sonar in Air References 9. Digital Picture Processing / PH. HARTL 9.1 Introduction 9.1.1 General Remarks 9.1.2 Relation between Image and Real Scene 9.1.3 Enhancement and Filtering 9.2 The Elements of an Image Data Processing and Analysis System 9.2.1 Data Acquisition Subsystem 9.2.2 Data Handling Subsystem 9.2.3 Data Preprocessing Subsystem 9.2.4 Data Storage and Retrieval Subsystem 9.3 Geometric Corrections 9.3.1 Linear Transformations 9.3.2 Quadratic and Higher Order Transformations 9.3.3 Reference Marks 9.3.4 Image Gridding 9.3.5 Image Registration 9.3.6 Geometric Correction Concepts 9.4 Image Enhancement and Filtering Processes 9.4.1 Enhancement Processes 9.4.2 Image Smoothing 9.4.3 Image Sharpening 9.4.4 Matched Filters 9.4.5 Ratio Mapping and Generalization of Image Combination Procedures 9.4.6 Pseudocolor Transformation 9.5 Feature Extraction and Classification 9.5.1 Spectral Features 9.5.2 Spatial Features 9.5.3 The Decision Process 9.5.4 The Decision Criteria 9.5.5 Unsupervised Classification 9.5.6 Recognizing of Bridges, Rivers, Lakes, and Islands 9.6 Appendix 1: The Image Signal in Spatial and Frequency Domain 9.6.1 Signals in the Spatial Domain 9.6.2 Signals in the Frequency Domain 9.7 Appendix 2: Numerical Example for Texture-context Features References Subject Index Color Plates