EVI2 (Enhanced Vegetation Index 2)

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      //
// Enhanced Vegetation Index 2  (abbrv. EVI2)
//
// General formula: 2.4 * (NIR - RED) / (NIR + RED + 1)
//
// URL https://www.indexdatabase.de/db/si-single.php?sensor_id=96&rsindex_id=237
//

let index = 2.4 * (B08 - B04) / (B08 + B04 + 1.0);
let min = -0.573;
let max = 0.573;
let zero = 0.0;

// colorBlend will return a color when the index is between min and max and white when it is less than min.
// To see black when it is more than max, uncomment the last line of colorBlend.
// The min/max values were computed automatically and may be poorly specified, feel free to change them to tweak the displayed range.
// This index crosses zero, so a diverging color map is used. To tweak the value of the break in the color map, change the variable 'zero'.

let underflow_color = [1, 1, 1];
let low_color = [208/255, 88/255, 126/255];
let high_color = [241/255, 234/255, 200/255];
let zero_color = [0, 147/255, 146/255];
let overflow_color = [0, 0, 0];

return colorBlend(index, [min, min, zero, max],
[
	underflow_color,
	low_color,
	zero_color, // divergent step at zero
	high_color,
	//overflow_color // uncomment to see overflows
]);

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General description of the script

In areas of dense canopy where the leaf area index (LAI) is high, the NDVI values can be improved by leveraging information in the blue wavelength. Information in this portion of the spectrum can help correct for soil background signals and atmospheric influences.