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Uniformise RS names
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_pages/index.md

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@@ -46,8 +46,8 @@ feature_catalog:
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- image_path: /assets/images/architecture/stac_teaser.jpg
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alt: "RS-Server Catalog"
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title: "RS-Server Catalog"
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excerpt: "RS-Server offers a fine access control per Collection to the Catalog.
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The catalog provided by RS-Server adheres to the SpatioTemporal Asset Catalog (STAC) format. By adopting a standardized format like STAC, RS-Server aims to streamline the organization and querying of geospatial asset metadata. The term “spatiotemporal asset” encompasses any file that conveys information about Earth captured at a specific location and time."
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excerpt: "The rs-server offers a fine access control per Collection to the Catalog.
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The catalog provided by rs-server adheres to the SpatioTemporal Asset Catalog (STAC) format. By adopting a standardized format like STAC, rs-server aims to streamline the organization and querying of geospatial asset metadata. The term “spatiotemporal asset” encompasses any file that conveys information about Earth captured at a specific location and time."
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url: "/portfolio/catalog"
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btn_label: "Read More"
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btn_class: "btn--primary"
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- image_path: /assets/images/station/staging_teaser.jpg
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alt: "RS-Server external data sources"
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title: "RS-Server staging"
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excerpt: "RS-Server offers staging functionality with access control for retrieving products from external data sources. RS-Server grants access to auxiliary data from the AUXIP station, as well as telemetry raw data from CADIP stations. It will also provide access to Sentinel level-0 products from LTA and Level-1 and Level-2 products from PRIP."
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excerpt: "The rs-server offers staging functionality with access control for retrieving products from external data sources. The rs-server grants access to auxiliary data from the AUXIP station, as well as telemetry raw data from CADIP stations. It will also provide access to Sentinel level-0 products from LTA and Level-1 and Level-2 products from PRIP."
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url: "/portfolio/staging"
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btn_label: "Read More"
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btn_class: "btn--primary"
@@ -76,7 +76,7 @@ feature_virtual:
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- image_path: /assets/images/architecture/jup_teaser.jpg
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alt: "Jupyter"
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title: "Virtual environment"
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excerpt: "RS Python provides access to JupyterLab to end-user. The end-user can build or start already made Prefect worflows from RS client libraries. JupyterLab proposes a flexible workspace organization to users making it easier to work with multiple tabs simultaneously. Additionally, JupyterLab provides a comprehensive Markdown editor, enhancing the writing and documentation experience within notebooks.
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excerpt: "RS Python provides access to JupyterLab to end-user. The end-user can build or start already made Prefect worflows from rs-client libraries. JupyterLab proposes a flexible workspace organization to users making it easier to work with multiple tabs simultaneously. Additionally, JupyterLab provides a comprehensive Markdown editor, enhancing the writing and documentation experience within notebooks.
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JupyterLab offers a richer and more efficient data programming experience, making it a wise choice for RS."
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url: "/portfolio/jupyter"
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btn_label: "Read More"
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- image_path: /assets/images/architecture/deployment_teaser.jpg
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alt: "Deployment"
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title: "RS deployment"
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excerpt: "RS Server can be deployed on several environments. On a Kubernetes cluster or on a local machine. From the local machine it is also possible to access both local Catalog and remote RS-Server services."
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excerpt: "The rs-server can be deployed on several environments. On a Kubernetes cluster or on a local machine. From the local machine it is also possible to access both local Catalog and remote rs-server services."
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url: "/portfolio/deployment"
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btn_label: "Read More"
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btn_class: "btn--primary"
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</style>
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## Cluster mode
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Here are **CSC RS-Python in a Nutshell** features from the cluster.
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Here are **CSC RS Python in a Nutshell** features from the cluster.
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<div id="conteneur">
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<img src="/assets/images/architecture/RSPY_cluster.jpg" width="1500" height="701">
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</div>
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## Local mode
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And here are **CSC RS-Python in a Nutshell** features from the laptop.
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And here are **CSC RS Python in a Nutshell** features from the laptop.
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<div id="conteneur">
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<img src="/assets/images/architecture/RSPY_local.jpg" width="1500" height="701">
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</div>

_portfolio/feature-catalog.md

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---
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title: "Catalog"
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permalink: /portfolio/catalog
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excerpt: "RS-Server provides a STAC Catalog with a fine access control per Collection and per User."
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excerpt: "The rs-server provides a STAC Catalog with a fine access control per Collection and per User."
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header:
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image: /assets/images/architecture/stac_header.jpg
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teaser: assets/images/architecture/stac_teaser.jpg
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nav: sidebar-catalog
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---
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RS-Server offers a fine **access control** per Collection to the Catalog. Each end-user, thanks to an API-KEY can access to its collection an the ones for which he is authorized. The catalog provided by RS-Server adheres to the SpatioTemporal Asset Catalog (STAC) format. By adopting a standardized format like STAC, RS-Server aims to streamline the organization and querying of geospatial asset metadata.
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The rs-server offers a fine **access control** per Collection to the Catalog. Each end-user, thanks to an API-KEY can access to its collection an the ones for which he is authorized. The catalog provided by rs-server adheres to the SpatioTemporal Asset Catalog (STAC) format. By adopting a standardized format like STAC, rs-server aims to streamline the organization and querying of geospatial asset metadata.
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The **SpatioTemporal Asset Catalog (STAC)** specification provides a common structure for describing and cataloging spatiotemporal assets. A spatiotemporal asset is any file that represents information about the Earth captured in a certain space and time. STAC allows geospatial data to be more easily searchable and queryable by establishing a standard, unified language. It consists of a network of JSON files that reference other JSON files, with each adhering to specific core specifications depending on the STAC component being described. These components include:
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_portfolio/feature-deployment.md

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nav: sidebar-deployment
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---
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RS-Server offers two deployment targets:
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The rs-server offers two deployment targets:
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- cluster
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- local
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For each kind of deployment, here are the overall associated features.
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## Cluster mode
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On the **cluster mode**, the RS-Server is deployed as several Kubernetes PODs. A deployment with HELM chart is provided.
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On the cluster environement, RS-Server can be called from a Prefect chain or directy from a Jupyter notebook.
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The RS-Server running the cluster has got a strong access control for each sensitive data access (CADIP, LTA, AUXIP, PRIP, and Catalog).
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On the **cluster mode**, the rs-server is deployed as several Kubernetes PODs. A deployment with HELM chart is provided.
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On the cluster environement, rs-server can be called from a Prefect chain or directy from a Jupyter notebook.
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The rs-server running the cluster has got a strong access control for each sensitive data access (CADIP, LTA, AUXIP, PRIP, and Catalog).
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## Local mode
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On **local mode**, RS-Server deploys a Catalog without access control.
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On **local mode**, rs-server deploys a Catalog without access control.
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From the local machine, end user can:
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- read / write to the local RS-Server catalog
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- connect to the RS-Server running on the cluster and access any service which is authorised for.
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- read / write to the local rs-server catalog
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- connect to the rs-server running on the cluster and access any service which is authorised for.
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_portfolio/feature-jupyter.md

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- JupyterLab's collapsible left sidebar contains commonly used tabs, such as the file browser, running kernels, and a command palette.
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- This sidebar enhances efficiency by providing quick access to essential features².
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You can build or start already made Prefect worflows from RS client libraries.
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RS-Client python libraries and some examples are provided to ease the use of RS Python.
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You can build or start already made Prefect worflows from rs-client libraries.
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The rs-client python libraries and some examples are provided to ease the use of RS Python.
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_portfolio/feature-staging.md

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---
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title: "Staging"
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permalink: /portfolio/staging
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excerpt: "RS-Server offers staging functionality with access control for retrieving products from Copernicus external data sources (like AUXIP and CADIP stations)."
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excerpt: "The rs-server offers staging functionality with access control for retrieving products from Copernicus external data sources (like AUXIP and CADIP stations)."
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header:
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image: /assets/images/station/staging_header.jpg
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teaser: /assets/images/station/staging_teaser.jpg
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nav: sidebar-staging
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---
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RS-Server offers staging functionality with access control for retrieving products from external data sources. Authorised end user can connect to Copernicus interface to retrieve input data for processing.
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The rs-server offers staging functionality with access control for retrieving products from external data sources. Authorised end user can connect to Copernicus interface to retrieve input data for processing.
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These data came from :
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- Copernicus ground stations : to retrieve CADU chunks
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- Copernicus AUXIP stations : to retrieve auxiliary data
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- Copernicus Long Term Archives : to retrieve any Level-0 products
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- Copernicus Production Services : to retrieve Level-1 and Level-2 recent products
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The RS-Server control user access to all of these sensitive interfaces. Access control is performed via an API-KEY.
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In addition, RS-Server will provide a STAC interface to access CADIP and AUXIP data.
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The rs-server control user access to all of these sensitive interfaces. Access control is performed via an API-KEY.
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In addition, rs-server will provide a STAC interface to access CADIP and AUXIP data.
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<span style="color: black; background-color: #1A89DF;">**version 0.1**</span>

_posts/2024-05-13-checkpoint.md

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---
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title: "RS-Python checkpoint"
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title: "RS Python checkpoint"
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date: 2024-05-13 10:00:00 +0200
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last_modified_at: 2024-05-29T13:20:02
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tags:

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