Quantitative Remote Sensing of Land Surfaces
By (author) Shunlin Liang
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Quantitative Remote Sensing of Land Surfaces by Shunlin Liang
Book DescriptionProcessing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs is a significant challenge. Filling a gap between the theoretical, physically-based modelling and specific applications, this in-depth study presents practical quantitative algorithms for estimating various land surface variables from remotely sensed observations. A concise review of the basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely sensed observations. Emphasizes both the basic principles of optical remote sensing and practical algorithms for estimating land surface variables quantitatively from remotely sensed observations Presents the current physical understanding of remote sensing as a system with a focus on radiative transfer modelling of the atmosphere, canopy, soil and snow Gathers the state of the art quantitative algorithms for sensor calibration, atmospheric and topographic correction, estimation of a variety of biophysical and geoph ysical variables, and four-dimensional data assimilation
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Book DetailsISBN: 9780471281665
(245mm x 167mm x 34mm)
Imprint: John Wiley & Sons Inc
Publisher: John Wiley & Sons Inc
Publish Date: 27-Jan-2004
Country of Publication: United States
Books By Author Shunlin Liang
Advanced Remote Sensing, Hardback (August 2012)» View all books by Shunlin Liang
Provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. This title presents techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR.
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Author Biography - Shunlin Liang
SHUNLIN LIANG, PhD, is an associate professor in the Department of Geography at the University of Maryland, where he teaches courses in remote sensing, quantitative spatial analysis, and computer cartography. He is the Associate Editor for IEEE Transactions on Geoscience and Remote Sensing and the coeditor of Geographic Information Science.
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