De Carvalho Alves M., Sanches L. Remote Sensing and Digital Image Processing with R - Lab Manual

CRC Press, 2023. — 188 p. — ISBN: 978-1003380412.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.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.