
Remote Sensing Data Analysis in R
CRC Press
1st Edition
Published on 24. February 2021
Book
Hardback
364 pages
978-0-367-72562-4 (ISBN)
Description
Remote Sensing Data Analysis in R is a guide book containing codes for most of the operations which are being performed for analysing any satellite data for deriving meaningful information. The goal of this book is to provide hands on experience in performing all the activities from the loading of raster and vector data, mapping or visualisation of data, pre-processing, calculation of indices, classification and advanced machine learning algorithms on remote sensing data in R. The reader will be able to acquire skills to carry out most of the operations of raster data analysis - more flexibly - in open-source freely available software i.e. R which are generally available in the paid digital image processing software.
Note: T& F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. The title is co-published with New India Publishing Agency.
Note: T& F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. The title is co-published with New India Publishing Agency.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
230 s/w Abbildungen, 230 s/w Photographien bzw. Rasterbilder, 10 s/w Tabellen
10 Tables, black and white; 230 Halftones, black and white; 230 Illustrations, black and white
Dimensions
Height: 229 mm
Width: 152 mm
Weight
830 gr
ISBN-13
978-0-367-72562-4 (9780367725624)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Alka Rani, Scientist, ICAR - Indian Institute of Soil Science, Madhya Pradesh, India
Nirmal Kumar, Scientist, ICAR - National Bureau of Soil Survey and Land Use Planning, Maharashtra, India
S.K. Singh, Director, ICAR - National Bureau of Soil Survey and Land Use Planning, Maharashtra, India
N.K. Sinha, Scientist, ICAR - Indian Institute of Soil Science, Madhya Pradesh, India
R.K. Jena, Scientist, ICAR - National Bureau of Soil Survey and Land Use Planning, Assam, India
Himesh Patra, Scientist (Geoinformatics), Crop Data Technology Private Limited, Maharashtra, India
Nirmal Kumar, Scientist, ICAR - National Bureau of Soil Survey and Land Use Planning, Maharashtra, India
S.K. Singh, Director, ICAR - National Bureau of Soil Survey and Land Use Planning, Maharashtra, India
N.K. Sinha, Scientist, ICAR - Indian Institute of Soil Science, Madhya Pradesh, India
R.K. Jena, Scientist, ICAR - National Bureau of Soil Survey and Land Use Planning, Assam, India
Himesh Patra, Scientist (Geoinformatics), Crop Data Technology Private Limited, Maharashtra, India
Content
1. Download and Installation of R 2. Data availability and downloading 3. Raster data in R
4. Radiometric Calibration 5. Vector data in R 6. Coordinate Reference Systems (CRS) in R
7. Subset Raster 8. Vector Data Analysis 9. Mosaic Raster Images 10. Resampling of Raster Images 11. Raster data statistics 12. Image Contrast Enhancement 13. Spatial Filters 14. Transformations 15. Unsupervised Classification 16. Supervised Classification 17. Digital terrain analysis 18. Thematic mapping
4. Radiometric Calibration 5. Vector data in R 6. Coordinate Reference Systems (CRS) in R
7. Subset Raster 8. Vector Data Analysis 9. Mosaic Raster Images 10. Resampling of Raster Images 11. Raster data statistics 12. Image Contrast Enhancement 13. Spatial Filters 14. Transformations 15. Unsupervised Classification 16. Supervised Classification 17. Digital terrain analysis 18. Thematic mapping