<P>This Lab Manual is a companion to the textbook <I>Remote Sensing and Digital Image Processing with R</I>. 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. </P><P><STRONG>Features</STRONG></P><UL><LI>Aims to expand theoretical approaches of remote sensing and digital image processing through multidisciplinary applications using R and R packages.</LI><LI>Engages students in learning theory through hands-on real-life projects.</LI><LI>All chapters are structured with solved exercises and homework and encourage readers to understand the potential and the limitations of the environments.</LI><LI>Covers
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