| ADF |
Auxiliary Data File: auxiliary file used by a processor, e.g. an orbit file or a calibration file. |
| ADGS |
Auxiliary Data Gathering Service: the Copernicus service that provides the auxiliary data, through an AUXIP interface. |
| API key |
A secret token created with the API Key Manager, that carries the identity and the rights of a user, used to call the services. See User rights and API keys. |
| ARD |
Analysis Ready Data, e.g. the Sentinel-1 ARD processor. |
| Asset |
In STAC, a file of an item, with its location. |
| AUXIP |
AUXiliary data Interface delivery Point: OData interface to get the auxiliary data. |
| CADIP |
CADU Interface delivery Point: OData interface of the acquisition ground stations, to get the raw data acquired by the satellites, organised in sessions. |
| CADU |
Channel Access Data Unit: raw telemetry data downlinked by the satellites. |
| CDSE |
Copernicus Data Space Ecosystem: the platform that distributes the Copernicus data. |
| Collection |
In STAC, a group of items. |
| CPM |
Core Python Modules of EOPF, used by the processors. |
| CQL2 |
Common Query Language: the language of the STAC API filters. |
| CSC |
Copernicus Space Component: the space and ground segments of Copernicus. |
| Dask |
Python library for parallel computing, used to run the processors and the staging. |
| DEM |
Digital Elevation Model. |
| Deployment (Prefect) |
A flow made runnable on the platform workers, from the dashboard, an automation or another flow. |
| DPR |
Data PRocessor: the re-engineered Sentinel processors, developed by the EOPF project. |
| EDRS |
European Data Relay System. |
| EOPF |
Earth Observation Processing Framework: the ESA project that re-engineers the Sentinel processors in Python. |
| Flow (Prefect) |
A Python function decorated with @flow, that implements a workflow. |
| Item |
In STAC, a product described by its metadata, footprint and assets. |
| Keycloak |
The identity and access management solution of RS-Python. |
| Local mode |
Mode where RS-Python runs on a single computer with Docker Compose, for development purposes. |
| Cluster mode |
Nominal mode where RS-Python runs on a Kubernetes cluster. |
| LTA |
Long Term Archive. |
| NRT, NTC, STC |
Near Real Time, Non Time Critical and Short Time Critical timeliness of the products. |
| OData |
Open Data Protocol, used by the Copernicus stations. |
| OGC |
Open Geospatial Consortium, that publishes the OGC API standards. |
| OSAM |
Object Storage Access Manager: the service that manages the object storage accounts and rights of the users. |
| Owner |
The user that owns a catalog collection. |
| Payload file |
The file that describes a processor run: units, inputs, outputs, storage... See Task tables and payload file. |
| PRIP |
Production service Interface delivery Point: OData interface of the production services, to get the Level-0, Level-1 and Level-2 products. |
| RS-Python, RSPY |
Reference System Python: this project. |
| Session |
A CADIP acquisition session: the raw data received by a ground station during one pass of a satellite. |
| Staging |
Copy of products from an external data source into the RS-Python object storage and catalog. |
| STAC |
SpatioTemporal Asset Catalog: the specification used to describe all the data. |
| Task table |
The file delivered with a processor, that describes its processing units, pipelines, inputs, outputs and auxiliary data selection rules. |
| Work pool (Prefect) |
A group of Prefect workers that execute the flow runs. |