ALBERT

Note: CONTENTS Preface Acknowledgments 1 Toward an Ecological Geography of the Sea The Progressive Exploration of Oceanic and Shelf Ecosystems The Availability of Timely Global Oceanographic Data from Satellites Internal Dynamics of Satellite-Observed Algal Blooms Our New Understanding of the Role of Very Small Organisms 2 Biogeographic Partition of the Ocean Taxonomic Diversity: The Shifting Baseline of Biogeography The Useful Results from 150 Years of Marine Biogeography Biogeographic Regions of the Pelagos Geographic Component of Benthic-Pelagic Coupling From Pristine to Modified Ecosystems 3 Fronts and Pycnoclines: Ecological Discontinuities Fronts and Frontal Systems Oceanic Fronts and Eddy Streets Shelf-Edge and Upwelling Fronts Tidal Fronts and River Plumes of the Shelf Seas The Ubiquitous "Horizontal Front" at the Shallow Pycnocline 4 Physical Control of Ecological Processes Ecological Consequences of Mesoscale Eddies and Planetary Waves Stratification and Irradiance: The Consequences of Latitude Regional and Latitudinal Resistance to Mixing in the Open Oceans Rule-Based Models of Ecological Response to External Forcing Case 1—Polar Irradiance-Mediated Production Peak Case 2—Nutrient-Limited Spring Production Peak Case 3—Winter-Spring Production with Nutrient Limitation Case 4—Small-Amplitude Response to Trade Wind Seasonality Case 5—Large-Amplitude Response to Monsoon-like Reversal of Trade Winds Case 6—Intermittent Production at Coastal Divergences Coastal Asymmetry, Geomorphology, and Tidal Forcing 5 Nutrient Limitation: The Example of Iron Nutrient Distribution and the Consequences of Differing Supply Ratios Regional Anomalies in Nutrient Limitation Models of Regional Nutrient Flux and Limitation 6 Biomes: The Primary Partition The Four Primary Biomes of the Upper Ocean Polar Biome Westerlies Biome Trades Biome Coastal Biome 7 Provinces: The Secondary Compartments Ecological Provinces in the Open Ocean Ways of Testing Static Province Boundaries in the Open Ocean A Statistical Test Analytical Tests Biogeographic Tests Practicable and Useful Partitions in Coastal Seas 8 Longer Term Responses: From Seasons to Centuries Scales of External Forcing Recurrent, ENSO-Scale Changes of State Multidecadal Trends and Changes Conclusion: Stable Partitions in a Varying Ocean? 9 The Atlantic Ocean Atlantic Polar Biome Boreal Polar Province (BPLR) Atlantic Arctic Province (ARCT) Atlantic Subarctic Province (SARC) Atlantic Westerly Winds Biome North Atlantic Drift Province (NADR) Gulf Stream Province (GFST) North Atlantic Subtropical Gyral Province (NAST-E, NAST-W) Mediterranean Sea, Black Sea Province (MEDI) Atlantic Trade Wind Biome North Atlantic Tropical Gyral Province (NATR) Caribbean Province (CARB) Western Tropical Atlantic Province (WTRA) Eastern Tropical Atlantic Province (ETRA) South Atlantic Gyral Province (SATL) Atlantic Coastal Biome Northeast Atlantic Shelves Province (NECS) Canary Current Coastal Province (CNRY) Guinea Current Coastal Province (GUIN) Benguela Current Coastal Province (BENG) Northwest Atlantic Shelves Province (NWCS) Guianas Coastal Province (GUIA) Brazil Current Coastal Province (BRAZ) Southwest Atlantic Shelves Province (FKLD) 10 The Indian Ocean Indian Ocean Trade Wind Biome Indian Monsoon Gyres Province (MONS) Indian South Subtropical Gyre Province (ISSG) Indian Ocean Coastal Biome Red Sea, Arabian Gulf Province (REDS) Northwest Arabian Sea Upwelling Province (ARAB) Western India Coastal Province (INDW) Eastern India Coastal Province (INDE) Eastern Africa Coastal Province (EAFR) Australia-Indonesia Coastal Province (AUSW) 11 The Pacific Ocean Pacific Polar Biome North Pacific Epicontinental Sea Province (BERS) Pacific Westerly Winds Biome Pacific Subarctic Gyres Province, East and West (PSAG) Kuroshio Current Province (KURO) North Pacific Subtropical and Polar Front Provinces (NPST and NPPF) Tasman Sea Province (TASM) Pacific Trade Winds Biome North Pacific Tropical Gyre Province (NPTG) North Pacific Equatorial Countercurrent Province (PNEC) Pacific Equatorial Divergence Province (PEQD) Western Pacific Warm Pool Province (WARM) Archipelagic Deep Basins Province (ARCH) South Pacific Subtropical Gyre Province, North and South (SPSG) Pacific Coastal Biome Alaska Coastal Downwelling Province (ALSK) California Current Province (CALC) Central American Coastal Province (CAMR) Humboldt Current Coastal Province (HUMB) China Sea Coastal Province (CHIN) Sunda-Arafura Shelves Province (SUND) East Australian Coastal Province (AUSE) New Zealand Coastal Province (NEWZ) 12 The Southern Ocean Antarctic Westerly Winds Biome South Subtropical Convergence Province (SSTC) Subantarctic Water Ring Province (SANT) Antarctic Polar Biome Antarctic Province (ANTA) Austral Polar Province (APLR) References Index

Note: 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

Note: Erscheinungsjahr in Vorlageform:2006