1st Edition
Remote Sensing Data Analysis in R
364 Pages
230 B/W Illustrations
by
CRC Press
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,... Read more
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
Biography
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
