Advanced Remote Sensing: Terrestrial Information Extraction and Applications

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Shunlin Liang (Department of Geography, University of Hong Kong) Jindi Wang (Professor, College of Geography, Beijing Normal University, Beijing, China)

Advanced Remote Sensing

Terrestrial Information Extraction and Applications

Shunlin Liang (Department of Geography, University of Hong Kong), Jindi Wang (Professor, College of Geography, Beijing Normal University, Beijing, China)

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English

Academic Press Inc
22 November 2019

Geophysics; Geographical information systems (GIS) & remote sensing; Space science

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.

Edited by: Shunlin Liang (Department of Geography University of Hong Kong), Jindi Wang (Professor, College of Geography, Beijing Normal University, Beijing, China)
Imprint: Academic Press Inc
Country of Publication: United States
Edition: 2nd edition
Dimensions: Height: 234mm, Width: 191mm,
Weight: 1.990kg
ISBN: 9780128158265
ISBN 10: 0128158263
Pages: 1010
Publication Date: 22 November 2019
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

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 Content 20. Snow Water Equivalence 21. Water Storage 22. High-level Land Product Integration Methods 23. Production Data Management Systems 24. Land Cover and Land Use Changes

Shunlin Liang is Chair Professor at the Department of Geography, University of Hong Kong. His main research interests focus on estimating land surface essential variables from satellite data, global satellite product generation, and global environmental change. He is a Fellow of the IEEE and an Editor-in-Chief of Science of Remote Sensing. He has published over 430 peer-reviewed journal papers, 10 special issues of different journals, and authored/edited eight books. He was also Editor-in-Chief of the nine-volume reference work “Comprehensive Remote Sensing (Elsevier, 2017) and has led to develop the Global LAnd Surface Satellite (GLASS) products suite and the Hi-GLASS products. 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.