Quantitative Remote Sensing of Land Surfaces

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Synopsis

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

Book details

Series:
Wiley Series in Remote Sensing and Image Processing (Book 30)
Author:
Shunlin Liang
ISBN:
9780471723714
Related ISBNs:
9780471723721, 9780471281665
Publisher:
Wiley
Pages:
560
Reading age:
Not specified
Includes images:
No
Date of addition:
2019-11-29
Usage restrictions:
Copyright
Copyright date:
2004
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Nonfiction, Technology