config_EW.yaml

# list of scenes to download and process
scenes: [
        # S1A_EW_GRDM_1SDH_20230118T112609_20230118T112713_046837_059DB3_9C85,
        # S1A_EW_GRDM_1SDH_20220225T174025_20220225T174129_042072_050315_7C35,
        # S1A_EW_GRDM_1SDH_20221023T174035_20221023T174139_045572_0572D2_CD12,
        # S1A_EW_GRDM_1SDH_20190924T112554_20190924T112659_029162_034FAB_41A7,
        # S1B_EW_GRDM_1SDH_20210221T234712_20210221T234816_025711_0310AD_3C16,
        # S1B_EW_GRDM_1SDH_20210304T000326_20210304T000430_025857_031578_789C,
        # consecutive casey station
        S1A_EW_GRDM_1SDH_20220110T122825_20220110T122929_041398_04EC1E_1C0B,
        S1A_EW_GRDM_1SDH_20220117T122010_20220117T122115_041500_04EF6B_6437,
        ]


# the name of the software. This will form part of the path
# where the products are writte
software : pyrosar

# we will mount this folder in the docker container so all data can be accessed
# this folder should contain all the downloaded scenes, dems, etc specified below
data_folder: '/data'

#save directory for final opera products
pyrosar_output_folder: /data/pyroSAR/outdir

# location of SNAP installation
snap_path: /home/ec2-user/SNAP9/bin #'/Applications/snap/bin' 

# location of earthdata credentials to download data.
earthdata_credentials: credentials/credentials_earthdata.yaml

# location of aws credentials
aws_credentials: credentials/credentials_aws.yaml

# location of copernicus data space ecosystem credentials
copernicus_credentials: credentials/credentials_copernicus.yaml

# directory to save scenes
scene_folder: /data/scenes

# whether to unzip the safe file
unzip_scene: False

# directory where DEM will be saved - a sub folder is made for each DEM type
dem_folder: /data/dem

# type of dem to download for each scene
# list of valid dems in https://pypi.org/project/dem-stitcher/
dem_type: glo_30

# File path to a DEM to use (skip download process and use DEM specified)
# leave empty to ignore
dem_path:

# Apply ETAD corrections to the slc
# Note - These must be available locally
apply_ETAD : False

# number of gdal threads to process the ETAD file with
gdal_threads : 4

# Locally accessible folder containing ETAD files
ETAD_folder : /data/ETAD

# overwrite the dem if it already exists
overwrite_dem : True

# add a prefix to the scene in the s3 bucket
# mostly for testing, leave blank to exclude
scene_prefix: 

# specify the folder in the s3 bucket
s3_bucket_folder: sar-software-comparison-ew-40m

# s3 bucket to push the results
# formatting will be {s3_bucket}/{opera-rtc}/{scene}/{product_id}
s3_bucket: deant-data-public-dev

# whether to push to s3
push_to_s3: True

# whether to push the DEM to the S3 bucket
upload_dem: True

# delete files after run
delete_local_files: True

#pyrosar settings - pixel size
pyrosar_spacing: 40

#pyrosar settings - scale of final product
# e.g. linear, db
pyrosar_scaling: linear

# pyrosar settings - reference area
# e.g. gamma0, sigma0, beta0 or ['gamma0','sigma0']
pyrosar_refarea: ['gamma0','sigma0']

# pyrosar settings 
# A target geographic reference system in WKT, EPSG, PROJ4 or OPENGIS format.
# See function :func:`spatialist.auxil.crsConvert()` for details.
# e.g. 4326, 3031
# by default set the crs based on the location of the scene on
# the sentinel-2 MGRS grid
#pyrosar_t_srs: default
pyrosar_t_srs: 3031