Remote Sensing and Digital Image Processing with R

1. Explains the theory of passive and active remote sensing and its applications in water, soil, vegetation, and atmosphere.

2. Covers data analysis in free and open-source (FOSS) R platform, which makes remote sensing accessible to anyone with a computer.

3. Includes case studies from different environments with free software algorithm and R toolset for active learning and learn-by-doing.

4. Provides hands-on exercises at the end of each chapter and encourages readers to understand the potential and the limitations of the environments, remote sensing targets and process.

5. Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution data sources for target recognition with image processing techniques.