Earth Engine: supervised classification from ‘stacked’ images

How do I classify an image in Google Earth Engine?

Classify the Image & Display the Results



select(bands). classify(classifier); // Define a palette for the Land Use classification. var palette = [ ‘D3D3D3’, // urban (0) // grey ‘0000FF’, // water (1) // blue ‘008000’ // forest (2) // green ]; // Display the classification result and the input image. Map.

How to do supervised classification in ArcGIS?

To train sample data for classification in ArcGIS Pro, the following steps are followed;

1. From the drop-down menu of “Classification Tools” on the Imagery tab, select “Training Samples Manager.”
2. From the “new schema” tab, select “Edit Properties.”
3. Set “name” to desired schema output name, and click “Save.”

What is the process of supervised image classification?

In supervised classification the user or image analyst “supervises” the pixel classification process. The user specifies the various pixels values or spectral signatures that should be associated with each class. This is done by selecting representative sample sites of a known cover type called Training Sites or Areas.