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Books > Earth & environment > Geography > Human geography
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Remote Sensing and Digital Image Processing with R (Hardcover)
Loot Price: R3,327
Discovery Miles 33 270
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Remote Sensing and Digital Image Processing with R (Hardcover)
Expected to ship within 9 - 17 working days
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This new textbook on remote sensing and digital image processing of
natural resources includes numerous practical, problem-solving
exercises, applications of sensors and satellite systems using
remote sensing data collection resources with emphasis on 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 1. Explains the theory of passive
and active remote sensing and its applications in water, soil,
vegetation, and atmosphere. 2. Covers data analysis in free and
open-source (FOSS) R platform, which makes remote sensing
accessible to anyone with a computer. 3. Includes case studies from
different environments with free software algorithm and R toolset
for active learning and learn-by-doing. 4. 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. 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 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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