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Commit 1f34a5ab authored by Lubomir Dolezal's avatar Lubomir Dolezal
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add stub emg configuration

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source:
type: swift
kwargs:
username: !env{{OS_USERNAME_DOWNLOAD}}
password: "!env{{OS_PASSWORD_DOWNLOAD}}"
tenant_name: "!env{{OS_TENANT_NAME_DOWNLOAD}}"
tenant_id: "!env{{OS_TENANT_ID_DOWNLOAD}}"
region_name: "!env{{OS_REGION_NAME_DOWNLOAD}}"
auth_url: "!env{{OS_AUTH_URL_DOWNLOAD}}"
auth_version: "!env{{ST_AUTH_VERSION_DOWNLOAD}}"
user_domain_name: !env{{OS_USER_DOMAIN_NAME_DOWNLOAD}}
# target:
# type: swift
# kwargs:
# auth_version: !env{{ST_AUTH_VERSION}}
# auth_url: "!env{{OS_AUTH_URL}}"
# username: "!env{{OS_USERNAME}}"
# password: "!env{{OS_PASSWORD}}"
# tenant_name: !env{{OS_TENANT_NAME}}
# tenant_id: !env{{OS_TENANT_ID}}
# region_name: !env{{OS_REGION_NAME}}
# user_domain_name: !env{{OS_USER_DOMAIN_NAME}}
target:
type: local
kwargs:
storage_path: /mnt/data/target
workdir: /mnt/data/workdir
keep_temp: true
# metadata file to look for in downloaded tar/zip file
metadata_glob: "*GSC*.xml"
# extractors for Product type / level
type_extractor:
# xpath can also be a list of xpaths to be tried one after another
xpath:
- /gsc:report/gsc:opt_metadata/gml:using/eop:EarthObservationEquipment/eop:platform/eop:Platform/eop:shortName/text()
- /gsc:report/gsc:sar_metadata/gml:using/eop:EarthObservationEquipment/eop:platform/eop:Platform/eop:shortName/text()
map: # optional mapping from extracted type name to used product type name
PHR_FUS__3: PH00
level_extractor:
# xpath can also be a list of xpaths to be tried one after another
xpath: substring-after(substring-after(/gsc:report/gsc:opt_metadata/gml:metaDataProperty/gsc:EarthObservationMetaData/eop:parentIdentifier/text(), '/'), '/')
map: # optional mapping
preprocessing:
defaults:
output:
options:
# WarpOptions (see https://gdal.org/python/osgeo.gdal-module.html#WarpOptions)
format: COG
dstSRS: "EPSG:4326"
dstNodata: 0
creationOptions:
- BLOCKSIZE=512
- COMPRESS=DEFLATE
- NUM_THREADS=8
- BIGTIFF=IF_SAFER
- OVERVIEWS=AUTO
types:
KS03:
nested: true
data_file_globs:
- "*.tif"
additional_file_globs:
- "*.rpc"
georeference:
stack_bands:
# stack all bands for each scene in the product
group_by: ".*/(.*)_P..tif"
sort_by: ".*_P(R|G|B|N).tif"
order:
- R
- G
- B
- N
RS02: # as extracted/translated above
# whether the package can contain sub-packages of TARs/ZIPs
nested: true
# glob selectors to look for source images in the source package
data_file_globs:
- "*.TIF"
additional_file_globs:
- "*.rpc"
# a custom preprocessor function to be called on all selected files
# custom_preprocessor:
# path: "path.to.some.module:attribute"
# # TODO: specify args/kwargs and pass meaningful parameters
georeference:
# georeference each file individually
# - type: geotransform # one of geotransform, RPC, GCP, world file
# - type: GCP
stack_bands:
# stack all bands for each scene in the product
group_by: # TODO: figure out a way to get a grouping. e.g: part of the filename using regex?
output:
# define a custom postprocessor function to be called on the processed file
# custom_postprocessor:
# path: "path.to.some.module:attribute"
# # TODO: specify args/kwargs and pass meaningful parameters
CS00:
nested: true
data_file_globs:
- "*.h5"
subdatasets:
data_file_glob: '*/*/*.h5'
subdataset_types:
'//S01/SBI': 'S01_SBI'
georeference:
type: corners
corner_names: ["S01_SBI_Bottom_Left_Geodetic_Coordinates", "S01_SBI_Bottom_Right_Geodetic_Coordinates", "S01_SBI_Top_Left_Geodetic_Coordinates", "S01_SBI_Top_Right_Geodetic_Coordinates"]
orbit_direction_name: Orbit_Direction
force_north_up: false
# gcp_srid:
calc:
formulas:
- inputs:
A:
glob: '*.tif'
band: 1
B:
glob: '*.tif'
band: 2
data_type: Float32
formula: sqrt(A.astype(float)*A.astype(float)+B.astype(float)*B.astype(float))
output_postfix: _proc
nodata_value: 0
output:
options:
# WarpOptions (see https://gdal.org/python/osgeo.gdal-module.html#WarpOptions)
format: "COG"
dstSRS: "EPSG:3857"
dstNodata: 0
creationOptions:
- BLOCKSIZE=512
- COMPRESS=DEFLATE
- LEVEL=6
- OVERVIEWS=AUTO
- NUM_THREADS=8
- BIGTIFF=IF_SAFER
- RESAMPLING=CUBIC
CS01:
nested: true
data_file_globs:
- "*.h5"
subdatasets:
data_file_glob: '*/*.h5'
subdataset_types:
'//S01/SBI': 'S01_SBI'
georeference:
type: corners
# this configuration is still a stub
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