ALBERT

Note: Contents: Part I Introductory Section. - 1 High-Resolution Paleoclimatology / Raymond S. Bradley. - 2 Dendroclimatology in High-Resolution Paleoclimatology / Malcolm K. Hughes. - Part II Scientific Bases of Dendroclimatology. - 3 How Well Understood Are the Processes that Create Dendroclimatic Records? A Mechanistic Model of the Climatic Control on Conifer Tree-Ring Growth Dynamics / Eugene A. Vaganov, Kevin J. Anchukaitis, and Michael N. Evans. - 4 Uncertainty, Emergence, and Statistics in Dendrochronology / Edward R. Cook and Neil Pederson. - 5 A Closer Look at Regional Curve Standardization of Tree-Ring Records: Justification of the Need, a Warning of Some Pitfalls, and Suggested Improvements in Its Application / Keith R. Briffa and Thomas M. Melvin. - 6 Stable Isotopes in Dendroclimatology: Moving Beyond ‘Potential’ / Mary Gagen, Danny McCarroll, Neil J. Loader, and Iain Robertson. - Part III Reconstruction of Climate Patterns and Values Relative to Today’s Climate. - 7 Dendroclimatology from Regional to Continental Scales: Understanding Regional Processes to Reconstruct Large-Scale Climatic Variations Across the Western Americas / Ricardo Villalba, Brian H. Luckman, Jose Boninsegna,Rosanne D. D’Arrigo, Antonio Lara, Jose Villanueva-Diaz, Mariano Masiokas, Jaime Argollo, Claudia Soliz, Carlos LeQuesne, David W. Stahle, Fidel Roig, Juan Carlos Aravena, Malcolm K. Hughes, Gregory Wiles, Gordon Jacoby, Peter Hartsough, Robert J.S. Wilson, Emma Watson, Edward R. Cook, Julian Cerano-Paredes, Matthew Therrell, Malcolm Cleaveland, Mariano S. Morales, Nicholas E. Graham, Jorge Moya, Jeanette Pacajes, Guillermina Massacchesi, Franco Biondi, Rocio Urrutia, and Guillermo Martinez Pastur. - Part IV Applications of Dendroclimatology. - 8 Application of Streamflow Reconstruction to Water Resources Management / David M. Meko and Connie A. Woodhouse. - 9 Climatic Inferences from Dendroecological Reconstructions / Thomas W. Swetnam and Peter M. Brown. - 10 North American Tree Rings, Climatic Extremes, and Social Disasters / David W. Stahle and Jeffrey S. Dean. - Part V Overview. - 11 Tree Rings and Climate: Sharpening the Focus / Malcolm K. Hughes, Henry F. Diaz, and Thomas W. Swetnam. - Index.

Note: Contents: 1. Introduction. - 2. Suturing of Pangea. - 2.1 The Late Caledonian Tectonic Framework of Western and Central Europe. - 2.1.1 North Sea area and the North German-Polish Caledonides. - 2.1.2 Mid-European Caledonides and Ligerian-Moldanubian Cordillera. - 2.1.3 British Isles and Rockall-Hatton Plateau. - 2.2 Caledonian Plate Tectonics. - 2.3 Arctic-North Atlantic Wrench and Rift System and the Acadian-Ligerian Orogeny. - 2.4 Devonian and Carboniferous Rifts of the Central and Northern British Isles. - 2.5 Evolution of the Variscan Foredeep Basin. - 2.5.1 Devonian to Early Carboniferous Tensional Setting. - 2.5.2 Late Carboniferous Compressional Setting. - 2.6 Evolution of the Central Armorican-Saxothuringian Successor Basin. - 2.6.1. Central Armorican Basin. - 2.6.2 Saxothuringian-Barrandian Basin. - 2.6.3 Northern Massif Central, Vosges and Black Forest. - 2.6.4 Connections between the Central Armorican-Saxothuringian and the Cornwallc Rhenish-East Sudetic Basins. - 2.7 Geodynamics of the Variscan Orogen. - 2.8 Late Variscan Wrench Tectonics. - 3. Permo-Triassic Development of Pangea. - 3.1 Late Permian Post-Orogenic Collapse of the Variscan Fold Belt and its Foreland. - 3.1.1 Saxonian Deserts. - 3.1.2 Thuringian Transgression of the Arctic Seas. - 3.2 Triassic Rifts and Tethys Transgression. - 3.2.1 Buntsandstein. - 3.2.2 Muschelkalk. - 3.2.3 Keuper. - 3.2.4 Northern Facies Province. - 3.2.5 Triassic subsidence patterns. - 4. Pangean Disintegration: Opening of the Central Atlantic, the North Atlantic and the Neo-Tethys. - 4.1 Rhaetian Transgression. - 4.2 Early Jurassic Link-Up ofTethys and Arctic Seas. - 4.3 Mid-Cimmerian Revolution. - 4.4 Late Middle and Late Jurassic Polarization of the European Rift Systems. - 4.5 Early Cretaceous Rifting Phases and Sea Level Changes. - 4.5.1 Arctic-North Atlantic Rift and North-West European Basin. - 4.5.2 Western Shelves and Paris Basin. - 5. Late Cretaceous Sea-Floor Spreading and Onset of Alpine Plate Collision. - 5.1 The Late Cretaceous Transgression. - 5.2 Late Cretaceous Subsidence of the North Sea Basin and the Atlantic Shelves. - 5.3 Sub-Hercynian and Laramide Alpine Foreland Compression. - 6. Cenozoic Opening of the Norwegian-Greenland Sea, Alpine Orogeny and Alpine Late Orogenic Collapse System. - 6.1 Cenozoic Fauna! Provinces and Sea Level Changes. - 6.2 Thule an Volcanism and Cenozoic Development of the Atlantic Shelves. - 6.3 The Cenozoic North Sea Basin. - 6.3.1 Palaeogene Deep-water Clastics. - 6.3.2 Neogene Shallowing of the Basin. - 6.3.3 Subsidence Pattern and Mechanisms. - 6.4 North German-Polish Platform. - 6.5 Alpine and Carpathian Foredeeps. - 6.5.1 The Jura Mountains. - 6.6 Pannonian Basin. - 6.7 Interplay between Foreland Compression and Rifting. - 6.7.1 Inversion of the Western Shelf and Channel Area. - 6.7.2 Cenozoic Rifts and Volcanism. - 6.7.3 Geodynamic considerations. - 7. Thoughts on Mechanisms of Basin Subsidence. - 7.1 Rifting. - 7.2 Passive Margins and Inactive Rifts. - 7.3 Wrench Faulting. - 7.4 Foredeeps. - 7.5 Intra-plate compression. - 7.6 Sedimentary Loading of the Crust and Relative Sea Level Changes. - Postscript. - List of Text figures. - List of Enclosures. - References.

Note: Contents: Foreword. - Isotopes in Antarctic Research / K. Fröhlich, H. Schütze. - Deuterium variations in maritime atmospheric moisture / P. Kowski, G. Strauch, H. Schütze. - On the influence of degradation processes on the isotopic composition of Antarctic precipitations / R. Der. - Extractive method for obtaining gas inclusions from ice / G. Strauch, P. Kowski. - Global monitoring of atmospheric CO2: activities planned by the GDR in Antarctica / P. Harting, U. Wand. - Deuterium and 18O variations in lakes of the Schirmacher Oasis (East Antarctica) / W. Richter, G. Strauch. - Environmental studies in Antarctica on the basis of tritium and radiocarbon measurements / D. Herbert, K. Fröhlich. - Isotope variations of hydrogen, carbon and nitrogen in florae from the Schirmacher Oasis, East Antarctica / G. Strauch, D. Haendel, I. Maaß, K. Mühle, A. Runge. - The ecology and chemistry of some Antarctic lichens / W. Richter, S. Huneck. - Another seal find in the Schirmacher Oasis (Queen Maud Land, Antarctica) / A. Hiller, W. Richter, R. Trettin. - Survey on hitherto published numbers of ZfI-Mitteilungen.

Note: Erscheinungsjahr in Vorlageform:1928

Note: Erscheinungsjahr in Vorlageform:2009

Note: Springende Erscheinungsweise

Note: Erscheinungsjahr in Vorlageform:1982

Note: Contents Preface to the Second Edition Preface to the First Edition 1. Images, Arrays, and Matrices 1.1 Multispectral Satellite Images 1.2 Algebra of Vectors and Matrices 1.2.1 Elementary Properties 1.2.2 Square Matrices 1.2.3 Singular Matrices 1.2.4 Symmetric, Positive Definite Matrices 1.2.5 Linear Dependence and Vector Spaces 1.3 Eigenvalues and Eigenvectors 1.4 Singular Value Decomposition 1.5 Vector Derivatives 1.6 Finding Minima and Maxima 1.7 Exercises 2. Image Statistics 2.1 Random Variables 2.1.1 Discrete Random Variables 2.1.2 Continuous Random Variables 2.1.3 Normal Distribution 2.2 Random Vectors 2.3 Parameter Estimation 2.3.1 Sampling a Distribution 2.3.2 Interval Estimation 2.3.3 Provisional Means 2.4 Hypothesis Testing and Sample Distribution Functions 2.4.1 Chi-Square Distribution 2.4.2 Student-t Distribution 2.4.3 F-Distribution 2.5 Conditional Probabilities, Bayes' Theorem, and Classification 2.6 Ordinary Linear Regression 2.6.1 One Independent Variable 2.6.2 More Than One Independent Variable 2.6.3 Regularization, Duality, and the Gram Matrix 2.7 Entropy and Information 2.7.1 Kullback-Leibler Divergence 2.7.2 Mutual Information 2.8 Exercises 3. Transformations 3.1 Discrete Fourier Transform 3.2 Discrete Wavelet Transform 3.2.1 Haar Wavelets 3.2.2 Image Compression 3.2.3 Multiresolution Analysis 3.2.3.1 Dilation Equation and Refinement Coefficients 3.2.3.2 Cascade Algorithm 3.2.3.3 Mother Wavelet 3.2.3.4 Daubechies D4 Scaling Function 3.3 Principal Components 3.3.1 Primal Solution 3.3.2 Dual Solution 3.4 Minimum Noise Fraction 3.4.1 Additive Noise 3.4.2 Minimum Noise Fraction Transformation in ENVI 3.5 Spatial Correlation 3.5.1 Maximum Autocorrelation Factor 3.5.2 Noise Estimation 3.6 Exercises 4. Filters, Kernels, and Fields 4.1 Convolution Theorem 4.2 Linear Filters 4.3 Wavelets and Filter Banks 4.3.1 One-Dimensional Arrays 4.3.2 Two-Dimensional Arrays 4.4 Kernel Methods 4.4.1 Valid Kernels 4.4.2 Kernel PCA 4.5 Gibbs-Markov Random Fields 4.6 Exercises 5. Image Enhancement and Correction 5.1 Lookup Tables and Histogram Functions 5.2 Filtering and Feature Extraction 5.2.1 Edge Detection 5.2.2 Invariant Moments 5.3 Panchromatic Sharpening 5.3.1 HSV Fusion 5.3.2 Brovey Fusion 5.3.3 PCA Fusion 5.3.4 DWT Fusion 5.3.5 A Trous Fusion 5.3.6 Quality Index 5.4 Topographic Correction 5.4.1 Rotation, Scaling, and Translation 5.4.2 Imaging Transformations 5.4.3 Camera Models and RFM Approximations 5.4.4 Stereo Imaging and Digital Elevation Models 5.4.5 Slope and Aspect 5.4.6 Illumination Correction 5.5 Image-Image Registration 5.5.1 Frequency-Domain Registration 5.5.2 Feature Matching 5.5.2.1 High-Pass Filtering 5.5.2.2 Closed Contours 5.5.2.3 Chain Codes and Moments 5.5.2.4 Contour Matching 5.5.2.5 Consistency Check 5.5.2.6 Implementation in IDL 5.5.3 Resampling and Warping 5.6 Exercises 6. Supervised Classification: Part 1 6.1 Maximum a Posteriori Probability 6.2 Training Data and Separability 6.3 Maximum Likelihood Classification 6.3.1 ENVI's Maximum Likelihood Classifier 6.3.2 Modified Maximum Likelihood Classifier 6.4 Gaussian Kernel Classification 6.5 Neural Networks 6.5.1 Neural Network Classifier 6.5.2 Cost Functions 6.5.3 Backpropagation 6.5.4 Overfitting and Generalization 6.6 Support Vector Machines 6.6.1 Linearly Separable Classes 6.6.1.1 Primal Formulation 6.6.1.2 Dual Formulation 6.6.1.3 Quadratic Programming and Support Vectors 6.6.2 Overlapping Classes 6.6.3 Solution with Sequential Minimal Optimization 6.6.4 Multiclass SVMs 6.6.5 Kernel Substitution 6.6.6 Modified SVM Classifier 6.7 Exercises 7. Supervised Classification: Part 2 7.1 Postprocessing 7.1.1 Majority Filtering 7.1.2 Probabilistic Label Relaxation 7.2 Evaluation and Comparison of Classification Accuracy 7.2.1 Accuracy Assessment 7.2.2 Model Comparison 7.3 Adaptive Boosting 7.4 Hyperspectral Analysis 7.4.1 Spectral Mixture Modeling 7.4.2 Unconstrained Linear Unmixing 7.4.3 Intrinsic End-Members and Pixel Purity 7.5 Exercises 8. Unsupervised Classification 8.1 Simple Cost Functions 8.2 Algorithms That Minimize the Simple Cost Functions 8.2.1 K-Means Clustering 8.2.2 Kernel K-Means Clustering 8.2.3 Extended K-Means Clustering 8.2.4 Agglomerative Hierarchical Clustering 8.2.5 Fuzzy K-Means Clustering 8.3 Gaussian Mixture Clustering 8.3.1 Expectation Maximization 8.3.2 Simulated Annealing 8.3.3 Partition Density 8.3.4 Implementation Notes 8.4 Including Spatial Information 8.4.1 Multiresolution Clustering 8.4.2 Spatial Clustering 8.5 Benchmark 8.6 Kohonen Self-Organizing Map 8.7 Image Segmentation 8.7.1 Segmenting a Classified Image 8.7.2 Object-Based Classification 8.7.3 Mean Shift 8.8 Exercises 9. Change Detection 9.1 Algebraic Methods 9.2 Postclassification Comparison 9.3 Principal Components Analysis 9.3.1 Iterated PCA 9.3.2 Kernel PCA 9.4 Multivariate Alteration Detection 9.4.1 Canonical Correlation Analysis 9.4.2 Orthogonality Properties 9.4.3 Scale Invariance 9.4.4 Iteratively Reweighted MAD 9.4.5 Correlation with the Original Observations 9.4.6 Regularization 9.4.7 Postprocessing 9.5 Decision Thresholds and Unsupervised Classification of Changes 9.6 Radiometrie Normalization 9.7 Exercises Appendix A: Mathematical Tools A.l Cholesky Decomposition A.2 Vector and Inner Product Spaces A.3 Least Squares Procedures A.3.1 Recursive Linear Regression A.3.2 Orthogonal Linear Regression Appendix B: Efficient Neural Network Training Algorithms B.1 Hessian Matrix B.1.1 R-Operator B.1.1.1 Determination of Rv{n} B.1.1.2 Determination of Rv{δo} B.1.1.3 Determination of Rv{δh} B.1.2 Calculating the Hessian B.2 Scaled Conjugate Gradient Training B.2.1 Conjugate Directions B.2.2 Minimizing a Quadratic Function B.2.3 Algorithm B.3 Kaiman Filter Training B.3.1 Linearization B.3.2 Algorithm B.4 A Neural Network Classifier with Hybrid Training Appendix C: ENVI Extensions in IDL C.1 Installation C.2 Extensions C.2.1 Kernel Principal Components Analysis C.2.2 Discrete Wavelet Transform Fusion C.2.3 A Trous Wavelet Transform Fusion C.2.4 Quality Index C.2.5 Calculating Heights of Man-Made Structures in High-Resolution Imagery C.2.6 Illumination Correction C.2.7 Image Registration C.2.8 Maximum Likelihood Classification C.2.9 Gaussian Kernel Classification C.2.10 Neural Network Classification C.2.11 Support Vector Machine Classification C.2.12 Probabilistic Label Relaxation C.2.13 Classifier Evaluation and Comparison C.2.14 Adaptive Boosting a Neural Network Classifier C.2.15 Kernel K-Means Clustering C.2.16 Agglomerative Hierarchical Clustering C.2.17 Fuzzy K-Means Clustering C.2.18 Gaussian Mixture Clustering C.2.19 Kohonen Self-Organizing Map C.2.20 Classified Image Segmentation C.2.21 Mean Shift Segmentation C.2.22 Multivariate Alteration Detection C.2.23 Viewing Changes C.2.24 Radiometric Normalization Appendix D: Mathematical Notation References Index

Note: Contents: Preface. - 1 Cosmic rays. - 1.1 Origin and nature of cosmic rays. - 1.2 Interaction with magnetic fields. - 1.3 Interactions with the Earth's atmosphere. - 1.4 Interactions with the Earth's surface. - 1.5 Production of cosmogenic nuclides. - 1.6 Detection of cosmic rays. - 2 Cosmogenic nuclides. - 2.1 'Useful' cosmogenic nuclides. - 2.2 Stable cosmogenic nuclides. - 2.3 Cosmogenic radionuclides. - 2.4 Sample preparation. - 2.5 Analytical methods. - 3 Production rates and scaling factors. - 3.1 Deriving production rates. - 3.2 Scaling factors. - 3.3 Building scaling factors. - 4 Application of cosmogenic nuclldes to Earth surface sciences. - 4.1 Exposure dating. - 4.2 Burial dating. - 4.3 Erosion/denudation rates. - 4.4 Uplift rates. - 4.5 Soil dynamics. - 4.6 Dealing with uncertainty. - Appendix A: Sampling checklist. - Appendix B: Reporting of cosrnogenic-nudide data for exposure age and erosion rate determinations. - References. - Index.

Note: Zugl.: München, Techn. Univ., Diss., 2005 , Beitr. teilw. in dt. und teilw. in engl. Sprache

Note: Erscheinungsjahr in Vorlageform:c 2010

Note: Zugl.: Technische Universität Graz, , Diss., 2009 , Erscheinungsjahr in Vorlageform:2010

Note: Beitr. überw. engl., teilw. dt.

Note: Erscheinungsjahr in Vorlageform:2010