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Advanced Remote Sensing
Terrestrial Information Extraction and Applications
- 2nd Edition - November 22, 2019
- Editors: Shunlin Liang, Jindi Wang
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 5 8 2 6 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 6 5 2 8 - 7
Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second Edition, is a thoroughly updated application-based reference that provides a single source on… Read more
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Request a sales quoteAdvanced 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
Researchers and students in remote sensing, geophysics, geology, geography, planetary science, environmental science
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
- No. of pages: 1010
- Language: English
- Edition: 2
- Published: November 22, 2019
- Imprint: Academic Press
- Paperback ISBN: 9780128158265
- eBook ISBN: 9780128165287
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Shunlin Liang
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.
Affiliations and expertise
Department of Geography, University of Hong KongJW
Jindi Wang
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.
Affiliations and expertise
Professor, College of Geography, Beijing Normal University, Beijing, ChinaRead Advanced Remote Sensing on ScienceDirect