Spectral images, especially those from satellites such as Landsat, are used worldwide for many purposes, ranging from monitoring environmental changes and evaluating natural resources to military operations. In a significant departure from standard remote-sensing texts, this book 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 world that we encounter when we put on our boots and venture outdoors. Remote Sensing of Landscapes with Spectral Images is designed as a textbook and reference for graduate students and professionals in a variety of disciplines including ecology, forestry, geology, geography, urban planning, archeology, and civil engineering, who want to use spectral images to help solve problems in the field. The emphasis is on the practical use of images rather than on theory and mathematical derivations, although a knowledge of college-level physics is assumed. 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 explantations), and the examples are chosen to illustrate important aspects of the analytic framework, rather than simply how specific algorithms work.
587.2 (Luftbildauswertung im allgemeinen) 587.3 (Anfertigung von Luftbildplänen (“mosaics”) und Karten) 587.6 (Verwendung zu anderen forstlichen Zwecken) 907.12 (Schutz von Pflanzen und Bäumen, Schutzgebiete usw.)
