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NIPA GENX ELECTRONIC RESOURCES & SOLUTIONS PRIVATE LIMITED

© 2020 NIPA GENX ELECTRONIC RESOURCES & SOLUTIONS. All Rights Reserved

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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ITC-HSN: 49011010

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Country Of Origin : India

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. 

  • Additional Information

    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

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