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Remote Sensing Data Analysis in R (Hardback, Alka Rani, Nirmal Kumar, S.K. Singh, N.K. Sinha, R.K. Jena & Himesh Patra)

Brand: NIPA

Inclusive of all taxes

The book 'Remote Sensing Data Analysis in R' serves as a comprehensive guide for professionals seeking to harness the power of R for remote sensing and GIS operations. Authored by experts Alka Rani, Nirmal Kumar, S.K. Singh, N.K. Sinha, R.K. Jena, and Himesh Patra, this hardback edition caters particularly to individuals who possess a fundamental understanding of remote sensing and GIS, yet require guidance in utilizing R software. With detailed, step-by-step instructions, readers can learn how to download, install, and effectively use R for various remote sensing applications. The book covers essential tasks ranging from loading and plotting both raster and vector data to advanced methodologies, including unsupervised and supervised classification, thematic mapping, and the use of complex machine learning algorithms such as random forests and support vector machines. Throughout the text, users are equipped with practical R-codes and the necessary background to conduct thorough data analysis, ensuring they are well-prepared to tackle real-world remote sensing challenges.

Key Features

Features Description
Comprehensive Guide Detailed instructions and R-codes for remote sensing and GIS operations
User-Friendly Designed for users with basic knowledge of remote sensing and GIS
Step-by-Step Instructions Clear guidance for downloading and installing R software
Data Processing Techniques In-depth coverage of raster and vector data processing
Advanced Machine Learning Integration Includes R-codes for random forest and support vector machine algorithms
Thematic Mapping Guidance on creating thematic maps for effective data visualization
Attributes Description
Format Hardback
Authors Alka Rani, Nirmal Kumar, S.K. Singh, N.K. Sinha, R.K. Jena, Himesh Patra
Target Audience Users with basic understanding of remote sensing and GIS
Software Compatibility R (free and open-source software)
Key Topics Data Availability, Radiometric Calibration, Coordinate Reference Systems (CRS), Raster and Vector Analysis, Classification, Thematic Mapping
Publication Date 2023

Key Words

*Disclaimer: This above description has been AI generated and has not been audited or verified for accuracy. It is recommended to verify product details independently before making any purchasing decisions.

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Brand: NIPA

Country of Origin: 101

This book offers a comprehensive and detailed guide for users to perform remote sensing and GIS operations using free and open-source software, specifically R. It is suitable for users who have a basic understanding of remote sensing and GIS but have limited knowledge of R software. The book introduces the R software and provides step-by-step instructions for downloading and installing it. It offers R-codes for tasks such as loading and plotting both raster and vector data, pre-processing and filtering raster data, processing vector data, unsupervised and supervised classification of raster data, and thematic mapping of both raster and vector data. Furthermore, it provides R-codes for advanced machine learning algorithms like random forest and support vector machine for supervised classification of raster data. 

The book introduces the R software and provides step-by-step instructions for downloading and installing it. It offers R-codes for tasks such as loading and plotting both raster and vector data, pre-processing and filtering raster data, processing vector data, unsupervised and supervised classification of raster data, and thematic mapping of both raster and vector data. Furthermore, it provides R-codes for advanced machine learning algorithms like random forest and support vector machine for supervised classification of raster data. 


Content of the book Remote Sensing Data Analysis in R


Download and Installation of R

Data availability and downloading

Raster data in R

Radiometric Calibration

Vector data in R

Coordinate Reference Systems (CRS) in R

Subset Raster

Vector Data Analysis

Mosaic Raster Images

Resampling of Raster Images

Raster data statistics

Image Contrast Enhancement

Spatial Filters

Transformations

Unsupervised Classification

Supervised Classification

Digital terrain analysis

Thematic mapping



Books

NIPA books

Remote Sensing

R Data Analysis

GIS

R Software

Thematic Mapping

Machine Learning

Raster Data

Vector Data

Unsupervised Classification

Supervised Classification

Remote Sensing Data Analysis in R (Hardback, Alka Rani, Nirmal Kumar, S.K. Singh, N.K. Sinha, R.K. Jena & Himesh Patra)

Brand: NIPA

Inclusive of all taxes

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