Advanced Remote Sensing is an application-based reference that provides a single source of 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 such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book's content intuitive, clearly presented, and practical in its implementation.
- Comprehensive overview of various practical methods and algorithms
- Detailed description of the principles and procedures of the state-of-the-art algorithms
- Real-world case studies open several chapters
- More than 500 full-color figures and tables
- Edited by top remote sensing experts with contributions from authors across the geosciences
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1. A Systematic View of Remote Sensing 2. Geometric Processing and Positioning Techniques 3. Compositing, Smoothing and Gap-filling Techniques 4. Data Fusion 5. Atmospheric Correction of Optical Imagery 6. Solar Radiation 7. Broadband Albedo 8. Land Surface Temperature and Thermal Infrared Emissivity 9. Surface Longwave Radiation Budget 10. Canopy Biochemical Characteristics 11. Leaf Area Index 12. Fraction of Absorbed Photosynthetically Active Radiation by Green Vegetation 13. Fractional Vegetation Cover 14. Vegetation Height and Vertical Structure 15. Above-ground Biomass 16. Vegetation production in terrestrial ecosystems 17. Precipitation 18. Terrestrial Evapotranspiration 19. Soil Moisture 20. Snow Water Equivalence 21. Water Storage 22. High-level Land Product Integration Methods 23. Product and Data Management Systems 24. Land Cover and Land Use Changes
Prof. Liang received his Ph.D degree from Boston University in 1993. He is a professor of the University of Maryland and Beijing Normal University. His main research interests focus on estimation of land surface variables from satellite observations, studies on surface energy balance, and assessing the climatic, ecological and hydrological impacts of human activities in China. Prof. Liang has published approximately 265 peer-reviewed journal papers and 25 book chapters. He authored or edited five books and four of them are also published in Chinese. He was an Associate Editor of the IEEE Transaction on Geoscience and Remote Sensing (2001-2013) and a guest editor of several remote sensing journals. Dr. Liang is an IEEE Fellow.
Prof. Wang graduated from Beijing University of Postal and Telecommunications, and received the B.S degree in Electronic Engineering in 1982. She is currently professor of the Research Center for Remote Sensing and GIS of Beijing Normal University. Prof. Wang hosted a number of research projects on remote sensing modeling and validation, land surface parameters retrieval, typical land object's spectrum database establishment, dynamic feature analysis and modeling of remote sensing information, supported by the National Basic Research Program of China, the National High Technology Research and Development Program of China, the National Natural Science Foundation of China.