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Home > Education > Mathematics > Quantitative Remote Sensing of Land Surfaces-eBook

Quantitative Remote Sensing of Land Surfaces

Liang, Shunlin

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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 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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Title of ebook: Quantitative Remote Sensing of Land Surfaces
ISBN: 9780471723714
Publisher: Wiley-Interscience
Internet download file size: 28758 kb
Pages: 560
Released online for download: 02-25-2005
Author of eBook: Liang, Shunlin