Quantitative remote sensing of land surfaces /
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| Author / Creator: | Liang, Shunlin. |
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| Imprint: | Hoboken, N.J. : Wiley-Interscience, c2004. |
| Description: | xxvi, 534 p. : ill. ; 25 cm + 1 CD-ROM (4 3/4 in.). |
| Language: | English |
| Series: | Wiley series in remote sensing |
| Subject: | Earth sciences -- Remote sensing. Environmental sciences -- Remote sensing. Remote sensing. Earth sciences -- Remote sensing. Environmental sciences -- Remote sensing. Remote sensing. |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/5042116 |
| Summary: | Processing 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.<br> 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.<br> Emphasizes both the basic principles of optical remote sensing and practical algorithms for estimating land surface variables quantitatively from remotely sensed observations<br> 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<br> 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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| Physical Description: | xxvi, 534 p. : ill. ; 25 cm + |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0471281662 |
