In this Tutorial, i will present how to compute Multiple Indices into one image using Google Earth Engine
Spectral indices are combinations of the pixel values from two or more spectral bands in a multispectral image. Spectral indices are designed to highlight pixels showing the relative abundance or lack of a landcover type of interest in an image.

The most common index is the Normalized Difference Vegetation Index (NDVI), which provides an indication of abundance of vegetation by comparing the different reflectance values of the red and nearinfrared bands (normalized such that the minimum value is 1.0, and the maximum is +1.0). There are many other indices that have been developed, using a variety of spectral bands to highlight different phenomena, such as vegetation, water, snow, and soil.

Spectral indices are most commonly applied in ArcGIS using raster functions.
Outofthebox functions, such as NDVI, Soil Adjusted Vegetation Index (SAVI), and Enhanced Vegetation Index (EVI), are available. The Indices button on the Imagery tab in ArcGIS Pro provides a handy shortcut to a predefined list of about 20 indices that are designed to process data locally.
Users can also implement their own band ratios and combinations using the Calculator or Band Arithmetic raster function.
The ArcGIS Spectral Index Library offers readytoapply spectral indices using raster functions that are easy to use.