Remote Sensing Data Analysis in R

Inhaltsverzeichnis

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

Über den Autor / die Autorin

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

Zusammenfassung

This book contains codes for most of the operations which are being performed for analysing any satellite data for deriving meaningful information in R. 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.

Produktdetails

• Autoren: R.K. Jena, Jena R.K., Nirmal Kumar, Himesh Patra, Alka Rani, Alka Kumar Rani, S.K. Singh, N.K. Sinha, Sinha N.K.
• Verlag: Taylor & Francis Ltd.
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 28.02.2021
• EAN: 9780367725624
• ISBN: 978-0-367-72562-4
• Seiten: 364
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; MATHEMATICS / Probability & Statistics / General, SCIENCE / Earth Sciences / Geology, TECHNOLOGY & ENGINEERING / Civil / General, Geology, geomorphology and the lithosphere, Probability & statistics, Probability and statistics, Geographical information systems (GIS) & remote sensing, Geology & The Lithosphere, Geographical information systems, geodata and remote sensing