Pickling a Classifier in Google Earth Engine

Question

I'm busy trying to create a widely applicable reedbed vegetation classifier that could potentially classify any given area within Europe. I already have training data for an area around the Balaton lake in Hungary and the classification is very accurate >99%.

The problem is that the random forest classifier uses a lot of data and time while training. I know that within python there is a way to store a classifier using a "pickling" method, so if you would choose a different area you would not have to retrain your classifier every time. I was wondering if there is any way to do this in JavaScript within the Google Earth Engine?

Answer 1

You can apply the same classifier to a different set of images as long as the have the same bands as your original location. You still need to collect samples to test the model.

Answer 2

Try this using ee.Serializer(), you can serialize an earth engine object, also true for ee.Classifier().

var classifier_serialized = ee.Serializer.toJSON(classifier)
Export.table.toAsset(ee.FeatureCollection(empty_feature.set('classifier',json)),desc,AssetName)

    
// Load using this
var json = ee.String(ee.Feature(ee.FeatureCollection(assetName).first()).get('classifier'))
var classifier = ee.Deserializer.fromJSON(json)