You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
@ellenbuckley It seems like all the provenance metadata (Julian days, satellite, days) needed is contained in the file names. If the files are fetched in a systematic way (from an API?), the cloud/tci image pairs can be retrieved in sync and the code could be simplified a bit.
# converting to dateres=datetime.strptime(year_str+"-"+doy_str, "%Y-%j").strftime("%Y-%m-%d")
ifaq:
sat='aqua'else:
sat='terra'fcloud=fcloud_direc+'cloud_'+res+'_'+str(doy)+'_'+sat+'.tiff'ftci=ftci_direc+'tci_'+res+'_'+str(doy)+'_'+sat+'.tiff'
We could have a single for loop that reads in the pairs and does the processing. Is this observation correct?
@ellenbuckley It seems like all the provenance metadata (Julian days, satellite, days) needed is contained in the file names. If the files are fetched in a systematic way (from an API?), the
cloud
/tci
image pairs can be retrieved in sync and the code could be simplified a bit.We could have a single for loop that reads in the pairs and does the processing. Is this observation correct?
#6
The text was updated successfully, but these errors were encountered: