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Table of Contents Chapter 1 History and Description of Hyperspectral Imaging Origins Definitions Photon Electromagnetic Spectrum Speed of Light Emission and Reflection Chapter 2 Spectral Radiometry Principles of Spectral Radiometry Solid Angles Radiance, Irrandiance, and Flux Radiance vs. Reflectance Blackbody Radiation Solar Irradiance and Atmospheric Path Radiance Theory of Atmospheric Correction Modeling Target Interactions with Scattering by Arbitrarily Inclined Leaves (SAIL) Chapter 3 Imaging Spectrometers: Operational Considerations Sensors Confusions and Misconceptions System Integration and Configuration Mission Planning Workflow Standard Products Chapter 4 Hyperspectral Remote Sensing and the Atmosphere Atmospheric Interactions Amount of Atmospheric Reflection Amount of Atmospheric Absorption Molecular Absorption Amount of Atmospheric Scattering Rayleigh Scattering Mie Scattering Nonselective Scattering Atmospheric Transmission Chapter 5 Information Extraction from Optical Image Data Data vs. Information Classification Style/Intent Supervised and Unsupervised Classification Feature Extraction Algorithm Development Whole-pixel Analysis Spectral Angle Mapper (SAM) Spectral Feature Fitting (SFF) Sub-pixel Analysis Complete Linear Spectral Unmixing Matched Filtering Information Contained in an Image Concept of a Hyperspectral Cube Pattern Recognition Software Tools Chapter 6 Hyperspectral and Ultraspectral Information Extraction Approaches Hyperspace The Importance of Endmembers Spectral Libraries Delineation vs. Identification Pixel Unmixing (Abundances) Linear and Non-linear Mixing Change Detection Spectral Maps Chapter 7 Agricultural Applications Introduction Case Study 1: Detecting Crop Growth Parameters Study Area Data Used Data Analysis Results and Discussion Conclusion Case Study 2: Detecting Sugarcane ¿Orange Rust¿ Disease Statistical Analysis Results and Discussion Conclusions Chapter 8 Environmental Applications Case Study 1: Classifying Lake Water Quality Introduction Instruments and Data Methods Retrieval Algorithms Discussion Case Study 2: Mapping Submerged Aquatic Vegetation Introduction Material and Methods Study Site Field Spectroscopy Hyperspectral Data and Image Processing Results and Discussion Hyperspectral Imagery Interpretation Conclusion Chapter 9 Forestry Applications Case Study 1: Detecting Douglas-Fir Beetle Infestation Introduction Methods Results Discussion Case Study 2: Estimating Chlorophyll Content in Tolerant Hardwoods Introduction Discussion Turkey Lakes Harvesting Impacts Project Spectral Indices Spatial Resolution Chlorophyll Content (chla+b) Monitoring Approach Conclusion Chapter 10 Geology Applications Case Study 1: Detecting Hydrocarbons Methods and Sensors Test Field Field Spectroscopy HyMap and HRSC-A Airborne Scanner Results and Discussion Conclusion Case Study 2: Mapping Alteration Zones Associated with Gold Mineralization Introduction Geological Background Spectral Character of Alteration Assemblages AVIRIS Data Retrieval of Apparent Surface Reflectance Empirical Line Method Results Spectral matching Spectral Unmixing Conclusions
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