Remote Sensing of Landscapes with Spectral Images A Physical Modeling Approach [Paperback]

A graduate textbook that describes how to process and interpret spectral images using physical models.Remote Sensing of Landscapes with Spectral Images describes how to process and interpret spectral images using physical models. The emphasis is on the practical use of images rather than on theory and mathematical derivations. Examples are drawn from a variety of landscapes and interpretations are tested against the reality seen on the ground. A textbook and reference for graduate students and professionals in a variety of disciplines, it is supplemented by a web-site hosting digital color versions of figures and ancillary images (www.cambridge.org/9780521662214).Remote Sensing of Landscapes with Spectral Images describes how to process and interpret spectral images using physical models. The emphasis is on the practical use of images rather than on theory and mathematical derivations. Examples are drawn from a variety of landscapes and interpretations are tested against the reality seen on the ground. A textbook and reference for graduate students and professionals in a variety of disciplines, it is supplemented by a web-site hosting digital color versions of figures and ancillary images (www.cambridge.org/9780521662214).This volume describes how to process and interpret spectral images using physical models to bridge the gap between the engineering and theoretical sides of remote-sensing and the outdoors world. Examples are drawn from a variety of landscapes and interpretations are tested against the reality seen on the ground. The reader is led through analysis of real images (using figures and explanations) and examples are chosen to illustrate important aspects of the analytic framework. The book is supplemented by a web-site hosting digital color versions of figures in the book as well as ancillary images (www.cambridge.org/9780521662214).Preface; 1. Extracting information from spectral images; 2. Spectroscopy of landscapes; 3. Standard methods for analyzing slS;