Spatial Data Science
  • Spatial data manipulation
  • Spatial data analysis
  • Remote Sensing Image Analysis
    • Introduction
    • Exploration
    • Basic mathematical operations
    • Unsupervised Classification
    • Supervised Classification
  • Case studies
  • Spherical computation
  • The raster package
  • Species distribution modeling
  • R companion to Geographic Information Analysis
Spatial Data Science
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  • Remote Sensing Image Analysis

Remote Sensing Image Analysis¶

Aniruddha Ghosh and Robert J. Hijmans

  • Introduction
    • Terminology
    • Data
    • Resources
    • R packages
  • Exploration
    • Image properties
    • Image information and statistics
    • Single band and composite maps
    • Subset and rename bands
    • Spatial subset or crop
    • Saving results to disk
    • Relation between bands
    • Extract pixel values
    • Spectral profiles
  • Basic mathematical operations
    • Vegetation indices
    • Histogram
    • Thresholding
    • Principal component analysis
  • Unsupervised Classification
    • kmeans classification
  • Supervised Classification
    • Reference data
    • Generate sample sites
    • Extract values for sites
    • Train the classifier
    • Classify
    • Model evaluation
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