Price loading...

Remote Sensing and Digital Image Processing with R - Textbook and Lab Manual

Business & Home Office

Price data last checked 109 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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 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. .

Product Specifications

Format: hardcover
ASIN: 1032461233
Category: Books > Subjects > Computing & Internet > Software & Graphics > Business & Home Office
Domain: Amazon UK
Release Date: 01 July 2023
Listed Since: 10 December 2022

Barcode

No barcode data available

Remote Sensing and Digital Image Processing with R - Textbook and Lab Manual

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Remote Sensing and Digital Image Processing with R

Remote Sensing Time Series Image Processing (Imaging Science)

Remote Sensing Image Classification in R (Springer Geography)

Remote Sensing of Natural Resources (Remote Sensing Applications Series)

Remote Sensing Digital Image Analysis

Deep Learning for Remote Sensing Images with Open Source Software (Signal and Image Processing of Earth Observations)

Remote Sensing Handbook, Volume II: Image Processing, Change Detection, GIS, and Spatial Data Analysis: 2

CRC Press - Image Processing and Data Analysis with ERDAS IMAGINE

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Remote Sensing Image Fusion (Signal and Image Processing of Earth Observations)

Urban High-Resolution Remote Sensing: Algorithms and Modeling

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python

Introductory Remote Sensing Principles and Concepts

Introductory Remote Sensing Principles and Concepts

Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications (Remote Sensing Applications Series)

Hands-On Geospatial Analysis with R and QGIS: A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2

Optical and SAR Remote Sensing of Urban Areas: A Practical Guide (Springer Geography)

Surveying with Geomatics and R

Remote Sensing for Sustainability (Remote Sensing Applications Series)

Remotely Sensed Data Characterization, Classification, and Accuracies (Remote Sensing Handbook)

Remote Sensing Data Analysis in R

Introductory Remote Sensing Principles and Concepts

Environmental Remote Sensing and Systems Analysis

Remote Sensing for Sustainability (Remote Sensing Applications Series)