I want to randomly sample one point from each masked image. In my actual dataset most of the images are masked, so I need to use stratifiedSample
as opposed to sample
to retrieve a sample from each image (sample
drops masked values).
In this simple example I have two overlapping images, with one band each named constant
of value 1. I put them in an image collection named ic
, and mapped a function to sample a random point in each image.
var sampler = function(image){
var sample = image.stratifiedSample({
numPoints: 1,
classBand: 'constant',
seed: 123,
scale: 5,
geometries: true
}) // returns a feature collection
return sample.first() // returns a feature
}
var mySamples = ee.FeatureCollection(ic.map(sampler))
Map.addLayer(mySamples, {color:'green'}, "sample pts")
Map.centerObject(mySamples, 12)
The two "random" points are in the same exact location!
I suspect this is due to the seed
parameter in stratifiedSample
. Is there a way to avoid setting the seed in GEE? Anyone have a workaround?
https://code.earthengine.google.com/?scriptPath=users%2Fcaseyengstrom%2Freprex%3AresetSeed