E-STREAMS Vol. 7, No. 8 - August 2004 3454. Quantitative Remote Sensing of Land Surfaces, by Shunlin Liang. Hoboken, NJ, Wiley-Interscience, 2004. 534p., 1 CD-ROM, illus., bibliog., index. (Wiley Series in Remote Sensing). ISBN 0-471-28166-2. $140.00. LC Call no.: QE33.2.R4L53 2004. Subjects: Earth Sciences/Remote Sensing; Environmental Sciences/Remote Sensing; Remote Sensing. Reviewer: Paula J. Wolfe, Associate Librarian, Science and Engineering Team, University of Arizona, wolfep@library.arizona.edu Table of Contents: 1. Introduction 1 2. Atmospheric Shortwave Radiative Transfer Modeling 25 3. Canopy Reflectance Modeling 76 4. Soil and Snow Reflectance Modeling 143 5. Satellite Sensor Radiometric Calibration 178 6. Atmospheric Correction of Optical Imagery 196 7. Topographic Correction Methods 231 8. Estimation of Land Surface Biophysical Variables 246 9. Estimation of Surface Radiation Budget: Broadband Albedo 310 10. Estimation of Surface Radiation Budget: Longwave 345 11. Four-Dimensional Data Assimilation 398 12. Validation and Spatial Scaling 431 13. Applications 472 Appendix: CD-ROM Content 525 Index 528 This volume is a very useful and practical addition to the literature on remote sensing. Dr. Shunlin Liang is a highly cited author of more than 55 papers and book chapters on the subject. He works closely with NASA on many research projects as a professor at the University of Maryland and is the Associate Editor for IEEE Transactions on Geoscience and Remote Sensing and the coeditor of Geographic Information Science. A new level of satellite technology from the NASA Earth Observing System (EOS) program has resulted in high measurement precision. In addition, interest and use of remote sensing models have increased with university courses, graduate, faculty, and researchers using the data for modeling the atmosphere, canopy, soil, and snow. Algorithms are required for estimating land surface variables quantitatively. This book emphasizes radiative transfer modeling of the atmosphere, canopy, soil, and snow with the appropriate quantitative algorithms for calibrations. Readers must have a good background in a algebra, calculus, and statistics. Each chapter has an expanded section of citations in addition to Websites that are mentioned throughout the book for further reading. There is an eight-page Acronym dictionary for remote sensing that helps with the book but also with readings and Website information. A CD-ROM is included with data sets and program codes. For example, GeoSAIL a geometric model to stimulate canopy spectral reflectance and absorption of photosynthetically active radiation for discontinuous canopies is included. The software is written in FORTRAN and sample input and output data are provided in ASCII text files. This book is appropriate for any college library. Advanced undergraduates, graduate students, and research faculty will find it a useful addition to the remote sensing literature. E-STREAMS| Vol. 7, No. 8 Index | YBP Library Services