Open mike-gangl opened 7 months ago
What are the input/validation files needed- i understand these exist on disk but we need to make them accessible in the cloud? We will need to either pull them from a DAAC or store them in S3.
from the code, it looks like we need:
parser.add_argument('radiance_file', type=str, metavar='INPUT', help='path to input image')
parser.add_argument('obs_file', type=str, help='path to observation image')
parser.add_argument('loc_file', type=str, help='path to location image')
parser.add_argument('glt_file', type=str, help='path to glt image')
parser.add_argument('l1b_bandmask_file', type=str, help='path to l1b bandmask image')
parser.add_argument('l2a_mask_file', type=str, help='path to l2a mask image')
and a reference to a "hard coded" irr_file = '/beegfs/scratch/brodrick/src/isofit/data/kurudz_0.1nm.dat'
we will want to migrate at least some of these to the jupyter environment for iterative processing, and a complete set on which to run validations.
Assist EMIT team in convert https://github.com/jfahlen/emit-ghg to application package
individual files: https://github.com/jfahlen/emit-ghg/blob/main/ghg_process.py