Books > Earth & environment > Geography > Human geography
|
Buy Now
Remote Sensing and Digital Image Processing with R - Textbook and Lab Manual (Hardcover)
Loot Price: R3,284
Discovery Miles 32 840
You Save: R625
(16%)
|
|
Remote Sensing and Digital Image Processing with R - Textbook and Lab Manual (Hardcover)
Expected to ship within 12 - 17 working days
|
This new textbook and lab manual on remote sensing and digital
image processing of natural resources includes numerous practical,
problem-solving exercises, and case studies that use the free and
open-source platform R. It explains the basic concepts of remote
sensing and its multidisciplinary applications using R language and
R packages, and engages students in learning theory through
hands-on real-life projects. 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.
Students in upper-level undergraduate or graduate programs with
Remote Sensing Course and Geoprocessing Course, civil and
environmental engineering, geosciences, and environmental sciences,
electrical engineering, biology, hydrology, agriculture
Engineering. Professionals in different areas who use remote
sensing and image processing. Students in upper-level undergraduate
or graduate programs taking courses in Remote Sensing and
Geoprocessing, civil and environmental engineering, geosciences,
and environmental sciences, electrical engineering, biology,
hydrology, agricultural engineering, as well as professionals in
different areas who use remote sensing and image processing, 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. .
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.