Advanced remote sensing / edited by Shunlin Liang, Xiaowen Li, Jindi Wang - 1st ed. - Amsterdam ; Boston : Academic Press, 2012. - xx, 799 p. : ill. (some col.), col. maps ; 25 cm.

Includes bibliographical references and index.

Machine generated contents note: 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
20. Snow Water Equivalence
21. Water Storage
22. High-level Land Product Integration Methods
23. Product and Data Management Systems
24. Land Cover and Land Use Changes.

"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"--

9780123859549 (hardback)


Earth sciences
Environmental sciences
Remote sensing.--Remote sensing.--Remote sensing.

621.367 / LIA

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