Features

A concise overview of STAC-related features supported by the EO-MQS.

The EO-MQS represents an implementation of a STAC-compliant API. As such, it can be used to browse and search dynamic STAC Catalogs. It is very recommended to familiarize oneself with the official STAC API Specifications to get a good understanding of the basic concepts. Additionally, playing with the provided implementation will immediatlely help in getting a better feeling for the provided functionality.

Browse the EO-MQS

The EO-MQS landing page represents the entry point for users to browse the available Catalogs. It is itself a valid STAC Catalog containing links to Collections and other basic information.

The EO-MQS builds upon FastAPI, a simple framework for building web APIs. One of the benefits of FastAPI is the automatic generation of documentation via the Swagger software. Swagger is a useful tool for helping users to get started with the API. The EO-MQS docs are available at https://stac.eodc.eu/api/v1/docs.

List all collections

A first step in exploring the available datasets is checking out the Collections endpoint available at https://mqs.eodc.eu/stac/v1/collections. It returns a list of STAC Collections from various data providers within the C-SCALE federation.

List items of a Collection

Make use of the items endpoint to look inside a specific STAC collection. For instance, to fetch features for the Sentinel-1 GRD Collection hosted by EODC, use the following link: https://mqs.eodc.eu/stac/v1/collections/EODC|sentinel1-grd.

STAC Browser

A great way of exploring STAC Catalogs is provided by the STAC Browser utlity. It aims at providing a user-friendly and web-based visualization of STAC Catlogs directly within a web browser.

Intended originally only for static Catalogs, i.e. purely JSON-file based without API functionality, the STAC Browser currently only provides minimal support for STAC APIs. Nonetheless, it already facilitates the discovery of available datasets by presenting easily readable metadata and data previews. For the EO-MQS, the current version of the browser (v2.0.0) was installed and is available at https://mqs.eodc.eu/browser.

Note that for the next release of the software, the developers have promised a significantly more sophistacted interface and better support for APIs. Click here for a preview of this upcoming version of the STAC Browser displaying the EO-MQS.

Search the EO-MQS

The benefit of using dynamic STAC implementations of the STAC specifications is primarily given by the possibility to search the Catalog with an API.

There are many tools around for interacting with STAC APIs, tailored to facilitate the handling of STAC-specific objects like Collections or Items. Users can utilize these tools or choose any other software capable of working with HTTP APIs.

A good overview of available tools can be found on the STAC Ecosystem website.

Please note that the EO-MQS currently only supports the core parameters for the STAC search.

Those are:

limit
bbox
datetime
intersects
ids
collections

See all details at the STAC API spec github page.

With the CLI

For example, issue a POST request to the EO-MQS search endpoint (https://mqs.eodc.eu/stac/v1/search) with cURL.

curl --location --request POST 'https://mqs.eodc.eu/stac/v1/search' \
--header 'Content-Type: application/json' \
--data-raw '{
    "collections": [
        "EODC|sentinel1-grd"
    ],
    "datetime": "2022-04-01T00:00:00Z/.."
}'

With Python

For example, use the PySTAC Client in Python to interface with the EO-MQS.

>>> from pystac_client import Client

>>> mqs = Client.open("https://mqs.eodc.eu/stac/v1")

>>> for collection in mqs.get_all_collections():
...     print(collection)

<CollectionClient id=EODC|sentinel1-grd>
<CollectionClient id=VITO|urn:eop:VITO:CGS_S1_GRD_L1>
<CollectionClient id=VITO|urn:eop:VITO:CGS_S1_GRD_SIGMA0_L1>
<CollectionClient id=VITO|urn:eop:VITO:CGS_S1_SLC_L1>
<CollectionClient id=VITO|urn:eop:VITO:CGS_S2_L1C>
<CollectionClient id=VITO|urn:eop:VITO:COP_DEM_GLO_30M_COG>
<CollectionClient id=VITO|urn:eop:VITO:COP_DEM_GLO_90M_COG>
<CollectionClient id=VITO|urn:eop:VITO:ESA_WorldCover_10m_2020_V1>
<CollectionClient id=VITO|urn:eop:VITO:ESA_WorldCover_S1VVVHratio_10m_2020_V1>
<CollectionClient id=VITO|urn:eop:VITO:ESA_WorldCover_S2RGBNIR_10m_2020_V1>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S1_SLC_COHERENCE_V1>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S2_CCC_V2>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S2_CHL_V1>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S2_CWC_V2>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S2_FAPAR_V2>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S2_FCOVER_V2>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S2_LAI_V2>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S2_NDVI_V2>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S2_RHOW_V1>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S2_SPM_V1>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S2_TOC_V2>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S2_TUR_V1>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S5P_L3_CO_TD_V1>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S5P_L3_CO_TM_V1>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S5P_L3_CO_TY_V1>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S5P_L3_NO2_TD_V1>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S5P_L3_NO2_TM_V1>
<CollectionClient id=VITO|urn:eop:VITO:TERRASCOPE_S5P_L3_NO2_TY_V1>
<CollectionClient id=VITO|urn:ogc:def:EOP:VITO:PROBAV_S1-TOC_333M_V001>
<CollectionClient id=VITO|urn:ogc:def:EOP:VITO:PROBAV_S10-TOC_333M_V001>
<CollectionClient id=VITO|urn:ogc:def:EOP:VITO:PROBAV_S5-TOC_100M_V001>
<CollectionClient id=VITO|urn:ogc:def:EOP:VITO:VGT_P>
<CollectionClient id=VITO|urn:ogc:def:EOP:VITO:VGT_S1>
<CollectionClient id=VITO|urn:ogc:def:EOP:VITO:VGT_S10>