Quantitative remote sensing of land surfaces

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 p...

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Bibliographic Details
Main Authors: Liang, Shunlin
Published:
Literature type: Electronic eBook
Language: English
Series: Wiley series in remote sensing
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/047172372X
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.
Carrier Form: 1 online resource (xxvi, 534 pages) : illustrations, maps.
Bibliography: Includes bibliographical references and index.
ISBN: 0471723711 (electronic bk.)
9780471723714 (electronic bk.)
9780471281665 (print ed.)
0471281662 (print ed.)
047172372X (electronic bk.)
9780471723721 (electronic bk.)
Index Number: QE33
CLC: P3-532
Contents: Introduction -- Atmospheric shortwave radiative transfer modeling -- Canopy reflectance modeling -- Soil and snow reflectance modeling -- Satellite sensor radiometric calibration -- Atmospheric correction -- Topographic correction methods -- Estimation of land surface biophysical variables -- Estimation of surface radiation budget : 1. Broadband albedo -- Estimation of surface radiation budget : 2. Longwave -- Four-dimensional (4D) data assimilation -- Validation and spatial scaling -- Applications.