Description
Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second Edition, is a thoroughly updated application-based reference that provides a single source on the mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors like RADAR and LIDAR. The book provides scientists in a number of different fields, including geography, geophysics, geology, atmospheric science, environmental science, planetary science and ecology with access to critically-important data extraction techniques and their virtually unlimited applications.While rigorous enough for the most experienced of scientists, the techniques presented are well designed and integrated, making the book's content intuitive and practical in its implementation.- Provides a comprehensive overview of many practical methods and algorithms- Offers descriptions of the principles and procedures of the state-of-the-art in remote sensing- Includes real-world case studies and end-of-chapter exercises- Contains thoroughly revised chapters, newly developed applications and updated examples
Table of Contents
1. A Systematic View of Remote Sensing2. Geometric Processing and Positioning Techniques3. Compositing, Smoothing, and Gap-filling Techniques4. Data Fusion5. Atmospheric Correction of Optical Imagery6. Solar Radiation7. Broadband Albedo8. Land-Surface Temperature and Thermal Infrared Emissivity9. Surface Longwave Radiation Budget10. Canopy Biochemical Characteristics11. Leaf Area Index12. Fraction of Absorbed Photosynthetically Active Radiation by Green Vegetation13. Fractional Vegetation Cover14. Vegetation Height and Vertical Structure15. Above-ground Biomass16. Vegetation Production in Terrestrial Ecosystems17. Precipitation18. Terrestrial Evapotranspiration19. Soil Moisture Content20. Snow Water Equivalence21. Water Storage22. High-level Land Product Integration Methods23. Production Data Management Systems24. Land Cover and Land Use Changes
