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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)

Name: Remote Sensing Data Analysis in R (Hardback, Alka Rani, Nirmal Kumar, S.K. Singh, N.K. Sinha, R.K. Jena & Himesh Patra)
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SKU: 8446807
Price: 289 USD
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Sold by nipa genx electronic resources & solutions · Service Provider , Manufacturer, Professional Services, Brand Owner, Distributor, Exporter, Importer, Wholesaler, Startup · North Delhi, Delhi, India

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nipa genx electronic resources & solutions

Service Provider , Manufacturer, Professional Services, Brand Owner, Distributor, Exporter, Importer, Wholesaler, Startup · North Delhi, Delhi, India

We at NIPA when look back at the journey that started 47 years ago, we feel humbled. Sh Shree Pal Jain, the Founder, started the ﬁrm with just one room, one table and a set of chairs; with his sheer dedication, hard work, commitment and to develop everlasting relationships, throughout these nearly ﬁve decades have developed a customer centric and value-based company.

Registered address: North West Delhi, India. Industry: Publishing, Printing & Stationery > Publishers & Distributors.

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Product details

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Overview

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.

Product Description

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

Description provided by nipa genx electronic resources & solutions.

Specifications

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

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Category	books and stationery > books and publications > electronic publications
Primary application	Wholesale, distribution, and international sourcing
Brand	nipa
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Origin	India
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Buyer questions

Frequently asked by buyers

Common questions B2B buyers ask before sourcing Remote Sensing Data Analysis in R (Hardback, Alka Rani, Nirmal Kumar, S.K. Singh, N.K. Sinha, R.K. Jena & Himesh Patra). Answers compiled from verified sellers' commercial terms and platform data.

Q: What level of expertise is needed to use this book?

A: This book is tailored for users who have a basic understanding of remote sensing and GIS but may have limited experience with R software.

Q: What types of data can I work with using the instructions provided?

A: The book provides guidance for loading, processing, and analyzing both raster and vector data.

Q: Does the book cover machine learning techniques?

A: Yes, it includes R-codes for implementing advanced machine learning algorithms such as random forest and support vector machines for supervised classification.

Q: Are there practical examples included in the book?

A: Absolutely! The book contains R-codes along with practical examples that facilitate hands-on learning.

Q: Is the software required for using this book free?

A: Yes, R is a free and open-source software that can be easily downloaded and installed.

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