Quantitative Remote Sensing of Land Surfaces
Description:
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
Best prices to buy, sell, or rent ISBN 9780471281665
Frequently Asked Questions about Quantitative Remote Sensing of Land Surfaces
The price for the book starts from $21.60 on Amazon and is available from 21 sellers at the moment.
If you’re interested in selling back the Quantitative Remote Sensing of Land Surfaces book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the Quantitative Remote Sensing of Land Surfaces book, the best buyback offer comes from and is $ for the book in good condition.
The Quantitative Remote Sensing of Land Surfaces book is in very low demand now as the rank for the book is 6,451,988 at the moment. A rank of 1,000,000 means the last copy sold approximately a month ago.
Not enough insights yet.