Description
Book SynopsisThis 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
Table of Contents
1. Introduction to Remote Sensing with R 2. Remote Sensing of Electromagnetic Radiation 3. Remote Sensing Sensors and Satellite Systems 4. Remote Sensing of Vegetation 5. Remote Sensing of Water 6. Remote Sensing of Soils, Rocks, and Geomorphology 7. Remote Sensing of the Atmosphere 8. Scientific Applications of Remote Sensing and Digital Processing for Project Design 9. Visual Interpretation and Enhancement of Remote Sensing Images 10. Unsupervised Classification of Remote Sensing Images 11. Supervised Classification of Remote Sensing Images 12. Uncertainty and Accuracy Analysis in Remote Sensing and Digital Image Processing 13. Scientific Applications of Remote Sensing and Digital Image Processing to Elaborate Articles
