De Carvalho A. Remote Sensing and Digital Image Processing with R. Lab Man. 2023

Textbook in PDF format

This Lab Manual is a companion to the textbook Remote Sensing and Digital Image Processing with R. It covers examples of natural resource data analysis applications including numerous, practical problem-solving exercises, and case studies that use the free and open-source platform R. The intuitive, structural workflow helps students better understand a scientific approach to each case study in the book and learn how to replicate, transplant, and expand the workflow for further exploration with new data, models, and areas of interest.
Preface
Principles of R Language in Remote Sensing and Digital Image Processing
Introduction to Remote Sensing and Digital Image Processing with R
Remote Sensing of Electromagnetic Radiation
Remote Sensing Sensors and Satellite Systems
Remote Sensing of Vegetation
Remote Sensing of Water
Remote Sensing of Soils, Rocks, and Geomorphology
Remote Sensing of the Atmosphere
Scientific Applications of Remote Sensing and Digital Image Processing for Project Design
Visual Interpretation and Enhancement of Remote Sensing Images
Unsupervised Classification of Remote Sensing Images
Supervised Classification of Remote Sensing Images
Uncertainty and Accuracy Analysis in Remote Sensing and Digital Image Processing
Scientific Applications of Remote Sensing and Digital Image Processing to Enhance Articles