Savitribai Phule Pune University, Pune

Jayakar Knowledge Resource Centre

Remote sensing and digital image processing with R / Marcelo de Carvalho Alves and Luciana Sanches. English

By: Alves, Marcelo de Carvalho [author.]Contributor(s): Sanches, Luciana [author.]Material type: TextTextPublication details: Boca Raton : CRC Press, 2023Edition: 1st edDescription: x, 526 p. 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781032359229 (hbk.)Subject(s): Remote sensing -- Textbooks | Image processing -- Digital techniques | R (Computer program language)Additional physical formats: Online version:: Remote sensing and digital image processing with RDDC classification: 621.3678
Contents:
Introduction to Remote Sensing with R -- Remote Sensing of Electromagnetic Radiation -- Remote Sensing Sensors and Satellite Systems -- Remote Sensing of Vegetation -- Remote Sensing of Water -- Remote Sensing of Soils, Rocks and Geomorphology -- Remote Sensing of the Atmosphere -- Scientific Applications of Remote Sensing and Digital Image Processing for Project Design -- Visual Interpretation and Enhancement of Remote Sensing Images -- Unsupervised Classification of Remote Sensing Images -- Supervised Classification of Remote Sensing Images -- Uncertainty and Accuracy Analysis in Remote Sensing and Digital Image Processing -- Scientific Applications of Remote Sensing and Digital Image Processing to Elaborate Articles.
Summary: "This new textbook on remote sensing and digital image processing of natural resources includes numerous practical, problem-solving exercises, with emphasis on free and open-source platform R. It explains basic concepts of remote sensing and multidisciplinary applications using R language and R packages, and engages students in learning theory through hands-on, real-life projects. All chapters are structured with learning objectives, computation, questions, solved exercises, resources and research suggestions. This book is applicable to a variety of subjects such as environmental and agricultural engineering, and physical, natural, and social sciences"-- Provided by publisher.
Tags from this library: No tags from this library for this title.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Status Notes Date due Barcode Item holds
Books Jayakar Knowledge Resource Centre
Jayakar Knowledge Resource Centre
621.3678 ALV.M (Browse shelf(Opens below)) Available 105.00 Pound 519064
Total holds: 0

Includes bibliographical references and index.

Introduction to Remote Sensing with R -- Remote Sensing of Electromagnetic Radiation -- Remote Sensing Sensors and Satellite Systems -- Remote Sensing of Vegetation -- Remote Sensing of Water -- Remote Sensing of Soils, Rocks and Geomorphology -- Remote Sensing of the Atmosphere -- Scientific Applications of Remote Sensing and Digital Image Processing for Project Design -- Visual Interpretation and Enhancement of Remote Sensing Images -- Unsupervised Classification of Remote Sensing Images -- Supervised Classification of Remote Sensing Images -- Uncertainty and Accuracy Analysis in Remote Sensing and Digital Image Processing -- Scientific Applications of Remote Sensing and Digital Image Processing to Elaborate Articles.

"This new textbook on remote sensing and digital image processing of natural resources includes numerous practical, problem-solving exercises, with emphasis on free and open-source platform R. It explains basic concepts of remote sensing and multidisciplinary applications using R language and R packages, and engages students in learning theory through hands-on, real-life projects. All chapters are structured with learning objectives, computation, questions, solved exercises, resources and research suggestions. This book is applicable to a variety of subjects such as environmental and agricultural engineering, and physical, natural, and social sciences"-- Provided by publisher.

There are no comments on this title.

to post a comment.

Powered by Koha