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Invoke SNAP on master/slave pairs store to readable format (Zarr, Geotiff) #1034
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Not all PVCs need to be s3 mounted in local tests. This might give better performance on CDSE staging: apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: calrissian-input-data
namespace: calrissian-demo-project
spec:
accessModes:
- ReadWriteOnce
- ReadOnlyMany
resources:
requests:
storage: 1Gi
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: calrissian-tmpout
namespace: calrissian-demo-project
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: 1Gi
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: calrissian-output-data
namespace: calrissian-demo-project
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: 1Gi
storageClassName: csi-s3-calrissian This might avoid errors like: |
Example script on how to select bursts and preprocess with calrissian. import openeo
import openeo.processes
import openeo.internal
url = "https://openeo-staging.dataspace.copernicus.eu/"
# url = "https://openeo.dev.warsaw.openeo.dataspace.copernicus.eu/" # needs VPN
# url = "http://127.0.0.1:8080"
connection = openeo.connect(url).authenticate_oidc()
datacube = openeo.rest.datacube.DataCube(
openeo.rest.datacube.PGNode(
"_cwl_insar",
arguments={
"spatial_extent": {
"west": 10.751,
"south": 46.741,
"east": 10.759,
"north": 46.749
},
"temporal_extent": [
"2024-08-14",
"2024-08-26"
]
},
),
connection=connection,
)
datacube.download("cwl_result.json") # TODO: Export as datacube |
cloudinsar/s1-workflows#3
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