AI-generated Key Takeaways
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          Learn how to generate an 8-bit RGB visualization of your data. 
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          Understand the parameters needed to define the visualization, including ranges, palette colors, gamma, and opacity. 
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          Discover how rangescan map data values to an 8-bit scale and handle values outside the specified range.
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          Explore how paletteColorscan be used to apply a color scheme when visualizing a single data band.
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          Find out how gammaandopacitycan adjust the overall appearance of the visualization.
Describes how to produce an 8-bit RGB visualization of the requested data.
| JSON representation | 
|---|
| {
  "ranges": [
    {
      object ( | 
| Fields | |
|---|---|
| ranges[] | 
 If present, specifies the range of data values to visualize. This range of values will be mapped to 0-255 (black to white) in the resulting image, and values outside this range will be clamped. May specify as one range for each band being visualized or else a single range to be applied to all bands. | 
| paletteColors[] | 
 If present, specifies sequence of CSS-style RGB color identifiers to apply as a color palette. Only allowed when visualizing a single data band. | 
| gamma | 
 If present, specifies an overall gamma correction factor to apply to the image. | 
| opacity | 
 If present, specifies an overall opacity factor to apply to the image, in the range 0.0 to 1.0. |