Advanced Remote Sensing

Informationen zum Autor Dr. Liang received his Ph.D. from Boston University in 1993. He is a Chair Professor in the Department of Geography at the University of Hong Kong. He has published over 490 SCI journal papers, 43 book chapters, and ten special issues of various journals. He has authored/edited eight books, five of which have been translated into Chinese. Dr. Liang is a Fellow of the IEEE and AAAS, and a Global STEM Professor. He serves as an Editor-in-Chief of the Science of Remote Sensing journal. Dr. Liang led the development of the Global LAnd Surface Satellite (GLASS) products, freely available at awww.glass.hku.hk and www.geodata.cn. He is also leading to develop the high-resolution (30 m) version of GLASS (Hi-GLASS) products. His Google Scholar H-index is 107, with over 46,000 citations. Clarivate recognizes him as a Highly Cited Researcher, placing him among the top 0.1% of scientists globally. 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. Klappentext Remote sensing is a strongly interdisciplinary field and includes all of the geosciences. Currently, there is no single source of advanced data gathering and assimilation techniques available. Advanced Remote Sensing will be the first to fill this need with a thorough, detailed, and implementable remote sensing reference. 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. While rigorous enough for the most experienced scientists, the techniques are well designed and integrated, making the book's content intuitive, clearly presented, and practical in its implementation. Inhaltsverzeichnis 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 Moisture20. Snow Water Equivalence21. Water Storage22. High-level Land Product Integration Methods23. Product and Data Management Systems24. Land Cover and Land Use Changes ...

Autorentext

Dr. Liang received his Ph.D. from Boston University in 1993. He is a Chair Professor in the Department of Geography at the University of Hong Kong. He has published over 490 SCI journal papers, 43 book chapters, and ten special issues of various journals. He has authored/edited eight books, five of which have been translated into Chinese. Dr. Liang is a Fellow of the IEEE and AAAS, and a Global STEM Professor. He serves as an Editor-in-Chief of the Science of Remote Sensing journal.

Dr. Liang led the development of the Global LAnd Surface Satellite (GLASS) products, freely available at awww.glass.hku.hk and www.geodata.cn. He is also leading to develop the high-resolution (30 m) version of GLASS (Hi-GLASS) products. His Google Scholar H-index is 107, with over 46,000 citations. Clarivate recognizes him as a Highly Cited Researcher, placing him among the top 0.1% of scientists globally.

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.

Klappentext
Remote sensing is a strongly interdisciplinary field and includes all of the geosciences. Currently, there is no single source of advanced data gathering and assimilation techniques available. Advanced Remote Sensing will be the first to fill this need with a thorough, detailed, and implementable remote sensing reference. 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. While rigorous enough for the most experienced scientists, the techniques are well designed and integrated, making the book's content intuitive, clearly presented, and practical in its implementation.

Zusammenfassung

"The volume's editors adeptly compiled chapters from many authors to create a reference that is easy to navigate and read.a thorough reference for a broad range of state-of-the-art remote sensing techniques with a focus on creating biophysical parameters from remotely sensed data and it fills a niche among remote sensing textbooks and applications." --The Quarterly Review of Biology, June 2014

"The treatment here is highly quantitative and rigorously technical, but also accessible to students at the upper undergraduate and first-year graduate levels." --Reference and Research Book News, December 2012

Inhalt

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 Moisture20. Snow Water Equivalence21. Water Storage22. High-level Land Product Integration Methods23. Product and Data Management Systems24. Land Cover and Land Use Changes