not sure what this does? is this generation for the prediction locations? In the first version the random points we used just for model testing, in the deployed models, we will need to sample from a grid of the agreed-upon spatial resolution.
Buffer processing - If this is happening on the google earth engine, Then I am removing this
Yes this is where we do the the ee_data.py thing to get the satellite data
regards to???? I don't get this, Yes this is where we get the satellite data and I am using the image collection method both in parallel and series in th existing pipeline
I will remove this and change the workflow.
*- Working on Google credentials generation and will share it with you @ChristinaLast , Should I just push the changes in the config file?
Can I see what is the mlflow error , so I can run and try to fix it
The structure of the airflow is quite different from the
openaq-pipeline
From what I can see the following:processing
authentication
extraction