From Book News, Inc.

In this book/CD-ROM package for graduate students and practitioners of
interdisciplinary research on the land surface environment, Liang
(geography, University of Maryland) explains optical remote sensing and
discusses a variety of practical algorithms for estimating land surface
variables quantitatively from remote sensed observations. Emphasis is
on radiative transfer modeling of the atmosphere, canopy, soil, and
snow, and on quantitative algorithms for sensor calibration,
atmospheric and topographic correction, estimation of biophysical
variables such as leaf area index, and geophysical variables such as
skin temperature. The author assumes no special mathematical background
beyond a working knowledge of statistics, calculus, and linear algebra
at an undergraduate level. The companion CD-ROM contains computer
program codes and data sets.Copyright (c) 2004 Book News, Inc.,
Portland, OR