Advanced Remote Sensing

Advanced Remote Sensing

Terrestrial Information Extraction and Applications

2nd Edition - November 22, 2019

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  • Editors: Shunlin Liang, Jindi Wang
  • eBook ISBN: 9780128165287
  • Paperback ISBN: 9780128158265

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Description

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.

Key Features

  • 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

Readership

Researchers and students in remote sensing, geophysics, geology, geography, planetary science, environmental science

Table of Contents

  • 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

Product details

  • No. of pages: 1010
  • Language: English
  • Copyright: © Academic Press 2019
  • Published: November 22, 2019
  • Imprint: Academic Press
  • eBook ISBN: 9780128165287
  • Paperback ISBN: 9780128158265

About the Editors

Shunlin Liang

Dr. Liang received his Ph.D. degree in 1993 from Boston University, USA. He is a Professor with the Department of Geographical Sciences, University of Maryland, College Park, USA. He has published over 420 SCI indexed peer-reviewed journal papers, 42 book chapters, and nine special issues of different journals. He authored/edited seven books and four of which were translated in Chinese, such as “Quantitative Remote Sensing of Land Surfaces” (Wiley, 2004), “Advances in Land Remote Sensing: System, Modeling, Inversion and Application” (Springer, 2008), “Advanced Remote Sensing: Terrestrial Information Extraction and Applications” (Academic Press, 2012, 2019), “Global LAnd Surface Satellite (GLASS) Products: Algorithms, Validation and Analysis”(Springer, 2013), “Land Surface Observation, Modeling, Data Assimilation” (World Scientific, 2013), and “Earth’s Energy Budget” (Elsevier, 2017). He is an IEEE Fellow and an Editor-in-Chief of Science of Remote Sensing.

Affiliations and Expertise

Department of Geography, University of Maryland, College Park, MD, USA

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, China

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