[FR]: Add documentation on using XEE with Dask

[spatialthoughts]

Feature Summary

Using XEE with a Dask distributed cluster requires setting up authentication for each Dask worker. I am able to use a setup like the following to make this work.

from dask.distributed import Client
from dask.distributed import WorkerPlugin

client = Client()  

class EEPlugin(WorkerPlugin):
    def __init__(self):
        pass
    def setup(self, worker):
        self.worker = worker
        try:
            ee.Initialize(project=cloud_project)
        except:
            ee.Authenticate()
            ee.Initialize(project=cloud_project)

ee_plugin = EEPlugin()
client.register_plugin(ee_plugin)

Here's a compelte example.

Use Cases

Dask allows users to use their own machien or cluster for distributed computing. This is useful in cases where you need to use scientific Python packages instead of GEE API. Here's an example Calculating SPI