This new textbook on remote sensing and digital image processing of natural resources includes numerous, practical problem-solving exercises and applications of sensors and satellite systems using remote sensing data collection resources, and emphasizes the free and open-source platform R. It explains basic concepts of remote sensing and multidisciplinary applications using R language and R packages, by engaging students in learning theory through hands-on, real-life projects. All chapters are structured with learning objectives, computation, questions, solved exercises, resources, and research suggestions.
Features
- Explains the theory of passive and active remote sensing and its applications in water, soil, vegetation, and atmosphere.
- Covers data analysis in the free and open-source R platform, which makes remote sensing accessible to anyone with a computer.
- Includes case studies from different environments with free software algori
