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Remote Sensing and Digital Image Processing with R - Lab Manual (Paperback)
Loot Price: R1,533
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Remote Sensing and Digital Image Processing with R - Lab Manual (Paperback)
Expected to ship within 9 - 15 working days
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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. Features 1. Aims to expand theoretical approaches of
remote sensing and digital image processing through
multidisciplinary applications using R and R packages. 2. Engages
students in learning theory through hands-on real-life projects. 3.
All chapters are structured with solved exercises and homework and
encourages readers to understand the potential and the limitations
of the environments. 4. Covers data analysis in free and
open-source (FOSS) R platform, which makes remote sensing
accessible to anyone with a computer. 5. 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 information.
Undergraduate and graduate level students will benefit from the
exercises in this lab manual, as they are applicable to a variety
of subjects including environmental science, agriculture
engineering, as well as natural and social sciences. Students will
gain a deeper understanding, and first-hand experience, with remote
sensing and digital processing with a learn-by-doing methodology
using applicable examples in natural resources.
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