Remote Sensing and Digital Image Processing with R
eBook - ePub

Remote Sensing and Digital Image Processing with R

  1. 526 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Remote Sensing and Digital Image Processing with R

About this book

This 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 algorithms and an R toolset for active learning and a learn-by-doing approach.
  • 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.
  • 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.

While the focus of the book is on environmental and agriculture engineering, it can be applied widely to a variety of subjects such as physical, natural, and social sciences. Students in upper-level undergraduate or graduate programs, taking courses in remote sensing, geoprocessing, civil and environmental engineering, geosciences, environmental sciences, electrical engineering, biology, and hydrology will also benefit from the learning objectives in the book. Professionals who use remote sensing and digital processing will also find this text enlightening.

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Yes, you can access Remote Sensing and Digital Image Processing with R by Marcelo de Carvalho Alves,Luciana Sanches in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Environmental Science. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. About the Authors
  7. Preface
  8. 1 Introduction to Remote Sensing and Digital Image Processing with R
  9. 2 Remote Sensing of Electromagnetic Radiation
  10. 3 Remote Sensing Sensors and Satellite Systems
  11. 4 Remote Sensing of Vegetation
  12. 5 Remote Sensing of Water
  13. 6 Remote Sensing of Soils, Rocks, and Geomorphology
  14. 7 Remote Sensing of the Atmosphere
  15. 8 Scientific Applications of Remote Sensing and Digital Image Processing for Project Design
  16. 9 Visual Interpretation and Enhancement of Remote Sensing Images
  17. 10 Unsupervised Classification of Remote Sensing Images
  18. 11 Supervised Classification of Remote Sensing Images
  19. 12 Uncertainty and Accuracy Analysis in Remote Sensing and Digital Image Processing
  20. 13 Scientific Applications of Remote Sensing and Digital Image Processing to Enhance Articles
  21. References
  22. Index