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Image transformation refers to the processing of spectral bands into “new” images in order to highlight image features of interest. Remote sensing literature review indicates that spectral and spatial indices can improve land use/cover classification accuracy. In this workbook, selected vegetation and texture indices will be computed from Landsat 5 TM imagery. The selected vegetation and texture indices will be used for image classification in Chap. 5.
KeywordsImage transformation Vegetation indices Texture Landsat 5 TM imagery
- Leutner B, Horning N (2016) Package ‘RStoolbox’. http://bleutner.github.io/RStoolbox. Accessed on 2 April 2017
- Mather PM (1999) Computer processing of remotely-sensed images-an introduction. Wiley, New YorkGoogle Scholar
- Rouse JW Jr, Haas R, Schell J, Deering, DW (1974) Monitoring vegetation systems in the great plains with ERTS. In: Third ERTS symposium, NASA, 351, pp 309–317Google Scholar
- Wegmann M, Leutner B, Dech S (2016) Remote sensing and GIS for ecologists: using open source software. Pelagic Publishing, Exeter, UKGoogle Scholar
- Zvoleff A (2016) Package ‘glcm’. https://cran.r-project.org/web/packages/glcm/glcm.pdf. Accessed on 22 June 2017