Advanced Remote Sensing (eBook, ePUB)

Terrestrial Information Extraction and Applications
Redaktion: Liang, Shunlin; Wang, Jindi; Li, Xiaowen

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 800
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9780123859556
• Artikelnr.: 38147093

Autorenporträt

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.

Inhaltsangabe

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

Rezensionen

"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