I have established a OpenDataCube instance v1.8.6 with Indian Satellite Data. Data information are hereby:
Coverage:
#latitude: [72,-72] degrees
#longitude: [0,163] degrees
Resolution: [0.0361771,-0.0361771] degrees or [4,4] Kms
Time resolution: Every 1/2 an hour. 48 products per day.
Products are indexed for one MONTH [1346 files]. Now when python script is executed to load data with dc.load() i.e.
lat=(38,5)
lon=(66,98)
time=('2021-06-01 00:00:00','2021-06-30 23:59:59')
It takes too much time, almost hangs. System has 128 GB RAM and 48 Cores
Data is locally indexed (Format: Geotiff) and using eo: metadata-type
Need pointers to improve the performance?
