Geospatial knowledge has become important in almost every profession and in private life as well. Satellite images have become familiar due to their extensive use in the media and as background for mapping on the World Wide Web, and web-based software for viewing image data is also widely available. However, much more value can be extracted from image data than simple viewing software can provide. Unfortunately, the software for more advanced processing of remote sensing data tends to be both expensive and to require considerable expertise. "Learning Remote Sensing" offers a straightforward, hands-on treatment of the core concepts in remote sensing and raster GIS analysis. Readers with limited knowledge of physics or geography can use this book not only to acquire an understanding of remote sensing fundamentals but also to begin applying geospatial analysis to their own problems. With a target audience that includes undergraduate and graduate students, teachers (especially in secondary schools) and interested individuals, this is a practically-oriented textbook with example exercises that illustrate how the powerful analysis capabilities of Dragon and its free variant OpenDragon can be applied. The book is provides a single, concise, self-contained volume that combines basic theory with practice.