Remote sensing satellites capture a number of layers for a single image. In hyperspectral imaging, layers can represent different spectral bands or wavelengths. Each layer corresponds to a specific range of electromagnetic radiation. For example, one layer could capture data in the visible light spectrum, another in the near-infrared, and so on. These layers help build a comprehensive view of the scene being observed. Researchers can identify specific materials, vegetation health, pollution levels, and more by analyzing the data in different layers.

The visualization tab helps you trace these layers through various spectral bands, indices, and composite bands. Learning the meaning behind visualization will help you analyze your AOI better. Following are the various types of visual styles available for an AOI.

  1. Indices
    1. Preset Indices
    2. Custom Indices
  2. Composite bands
  3. Single Bands

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Preset and Custom Indices
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