Transcription of Remote Sensing Image Analysis with R - R Spatial
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Remote Sensing Image Analysis with RAniruddah Ghosh and Robert J. HijmansAug 13, 2019 CONTENTS1 .. packages ..42 properties .. information and statistics .. band and composite maps .. and rename bands .. subset or crop .. results to disk .. between bands .. pixel values .. profiles ..143 Basic mathematical indices .. component Analysis ..244 Unsupervised classification ..315 Supervised data .. sample sites .. values for sites .. the classifier .. evaluation ..41iiiRemote Sensing Image Analysis with RAniruddha Ghosh and Robert J. HijmansCONTENTS1 Remote Sensing Image Analysis with R2 CONTENTSCHAPTERONEINTRODUCTIONThis book provides a short introduction to satellite data Analysis with R.
electromagnetic spectrum. For example, it can be measured in the red, green, and blue wavelengths. If that is the case, satellite data can be referred to as “multi-spectral” (or hyper-spectral if there are many separate wavelengths). The data are normally stored as raster data (referred to as “images”).
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