Quantitative Remote Sensing of Land Surfaces / Wiley Series in Remote Sensing and Image Processing Bd.1 (PDF)
(Sprache: Englisch)
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...
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...
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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
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
Autoren-Porträt von Shunlin S. Liang
SHUNLIN LIANG, PhD, is an associate professor in the Department of Geography at the University of Maryland, where he teaches courses in remote sensing, quantitative spatial analysis, and computer cartography. He is the Associate Editor for IEEE Transactions on Geoscience and Remote Sensing and the coeditor of Geographic Information Science.
Bibliographische Angaben
- Autor: Shunlin S. Liang
- 2005, 1. Auflage, 560 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0471723711
- ISBN-13: 9780471723714
- Erscheinungsdatum: 25.02.2005
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- Größe: 28 MB
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