The reason why you are seeing only one class in GEE is because ArcMap and GEE use different data formats to represent raster data. ArcMap uses a file format called Esri Grid or GeoTIFF, which stores each class as a separate integer value in the raster. On the other hand, GEE uses a file format called GeoTIFF or TFRecord, which stores the entire raster as a single image with pixel values representing different classes.

To properly use the LULC map from ArcMap in GEE, you will need to convert the ArcMap file format to a format that GEE can recognize. One way to do this is to convert the ArcMap raster to a GeoTIFF format, which GEE can easily import.

To convert the ArcMap raster to GeoTIFF format, you can follow these steps:

Open ArcMap and load the LULC map you want to convert.

Go to the ArcToolbox and select the Conversion Tools -> To Raster -> Raster to Other Format (Conversion) tool.

In the Raster to Other Format dialog box, select the input raster file and the output file format as GeoTIFF.

Specify the output file name and location and click OK to start the conversion.

Once the conversion is complete, you can upload the GeoTIFF file to GEE as an asset and import it into your script. The imported raster should now show all the classes that were present in the original ArcMap raster.

Harish Dangi Thank you so much for your kind and specific answer.

If you don't mind, can you please share your email or any other way so that I can contact you?

Here's an example script that demonstrates how to use a raster file as a reference in Earth Engine: It's actually a code

// Load the reference image.

var referenceImage = ee.Image('users/your_username/reference_image');

// Set the projection and scale of the reference image.

var referenceProjection = referenceImage.projection();

var referenceScale = referenceProjection.nominalScale();

var otherDataset = otherDataset.reproject({

crs: referenceProjection,

scale: referenceScale

}).resample('bicubic');

// Define the region of interest.

var roi = ee.Geometry.Point(-122.082, 37.42);

// Clip the other dataset to the same extent as the reference image.

var clippedDataset = otherDataset.clip(referenceImage.geometry());

// Perform your analysis on the clipped dataset.

// ...

In this example, otherDataset is another dataset that you want to analyze using the same reference image. You can replace it with any other dataset that you want to use as input.

Sarpong Albert Thank you so much for your detailed and elaborated answer.

I will try what you have described here and let you know about my output.