Book description
A companion to Remote Sensing and Digital Image Processing with R, this lab manual covers examples of natural resource data analysis applications including practical, problem-solving exercises and case studies that use the free and open-source platform R.
Table of contents
- Cover Page
- Half-Title Page
- Title Page
- Copyright Page
- Contents
- About the Authors
- Preface
- 1 Principles of R Language in Remote Sensing and Digital Image Processing
- 2 Introduction to Remote Sensing and Digital Image Processing with R
- 3 Remote Sensing of Electromagnetic Radiation
- 4 Remote Sensing Sensors and Satellite Systems
- 5 Remote Sensing of Vegetation
- 6 Remote Sensing of Water
- 7 Remote Sensing of Soils, Rocks, and Geomorphology
- 8 Remote Sensing of the Atmosphere
- 9 Remote Sensing and Digital Image Processing for Project Design
- 10 Visual Interpretation and Enhancement of Remote Sensing Images
- 11 Unsupervised Classification of Remote Sensing Images
- 12 Supervised Classification of Remote Sensing Images
- 13 Uncertainty and Accuracy Analysis in Remote Sensing and Digital Image Processing
- 14 Remote Sensing and Digital Image Processing for Article Enhancement
- References
- Index
Product information
- Title: Remote Sensing and Digital Image Processing with R - Lab Manual
- Author(s):
- Release date: June 2023
- Publisher(s): CRC Press
- ISBN: 9781000895445
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