For MODIS satellite images how to automate the download, unzip, import and process to point and then to Excel for each climate satellite MODIS layer.
There are 3650 days of imagery to process with 8 layers per day across modis aqua and terra, giving LST AM and PM and the corresponding timestamps.
So this is 29,200 layers to be run over a set of point files to give the corresponding satellite data at each point for each layer type needed.
To me it seems like a massive undertaking but my knowledge of coding and automation is limited
I realise the broadness of the questions to further wittle down my queries from the already useful answers,
How do I create such a cloud library of modis data ?
How is such data then further automated using Python, specifically are there any examples of such automation or any places I need to go to learn this specific parts of Python?
If this is still too basic I apologise, but I am coming at this from a complete Python beginners perspective.