Quantitative Remote Sensing of Land Surfaces

This book PDF is perfect for those who love Technology & Engineering genre, written by Shunlin Liang and published by John Wiley & Sons which was released on 11 March 2005 with total hardcover pages 560. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Quantitative Remote Sensing of Land Surfaces books below.

Quantitative Remote Sensing of Land Surfaces
Author : Shunlin Liang
File Size : 48,9 Mb
Publisher : John Wiley & Sons
Language : English
Release Date : 11 March 2005
ISBN : 9780471723714
Pages : 560 pages
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Quantitative Remote Sensing of Land Surfaces by Shunlin Liang Book PDF 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. 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

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

Get Book
Recent Advances in Quantitative Remote Sensing

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