Remote Sensing and Digital Image Processing with R - Lab Manual

This book aims to expand theoretical approaches of remote sensing and digital image processing through multidisciplinary applications using R and R packages, engaging students in learning theory through hands-on real-life projects, and covering data analysis in the free and open-source R platform. It also explores current trends and developments in remote sensing with data.

Format: Paperback / softback
Length: 178 pages
Publication date: 30 June 2023
Publisher: Taylor & Francis Ltd

Here is the rephrased text:
The primary objective of this book is to enhance the theoretical frameworks of remote sensing and digital image processing by employing multidisciplinary applications utilizing the R programming language and its extensive library of packages. By engaging students in practical, real-life projects, the book aims to impart a solid understanding of the theoretical concepts. Each chapter is meticulously structured to include solved exercises and homework, fostering a deeper comprehension of the subject matter. Additionally, the book encourages readers to explore the potential and limitations of various environments by providing comprehensive coverage of data analysis using the free and open-source (FOSS) R platform, which makes remote sensing accessible to anyone with a computer. Furthermore, the book delves into current trends and developments in remote sensing, providing homework assignments with data to further explore the utilization of free multispectral remote sensing data, including very high spatial resolution information. This comprehensive approach ensures that readers gain a thorough understanding of the field and are well-equipped to apply their knowledge in practical scenarios.

Weight: 350g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032461243