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Accessing CLMS data on WEkEO

Learn how to access Copernicus Land Monitoring Service (CLMS) data on WEkEO using the new dedicated datasets, or via legacy dataset.

Written by Alexandre

Context


The Copernicus Land Monitoring Service (CLMS) data has been migrated to the Copernicus Data Space Ecosystem (CDSE). As a result, CLMS products are now directly accessible on WEkEO through dedicated datasets available in the WEkEO Data Catalogue (e.g. CLMS:CLMS:DAT:FSC_EUROPE_20M_DAILY_V2), replacing the legacy EO:JRC:DAT:CLMS entry point which remains supported for compatibility.

User impact


Accessing CLMS data on WEkEO is now direct and seamless:

  • Primary method: Dedicated dataset (Recommended)

    Search directly for your dataset using keywords or its dataset ID in the catalogue. If a dataset groups multiple sub-datasets together, you can easily select the specific sub-dataset using the Dataset Identifier dropdown menu within the search form.

  • Alternative method: Legacy access

    Querying via the single global dataset ID EO:JRC:DAT:CLMS remains available for compatibility with existing scripts.

⚠️ Note on map visualisation: Visualisation layers for some of the new dedicated datasets are currently being integrated. If map visualisation is temporarily unavailable for a dataset, data querying, downloading, and API access via the Harmonized Data Access (HDA) remain fully functional.

Useful resources & mapping


Finding CLMS datasets on WEkEO is now as straightforward as searching the catalogue for any other dataset. However, depending on your needs, the following resources can help:

  • Need to map CLMS/CDSE names to WEkEO datasets? Use the CLMS transition table on GitHub. It serves as a cross-reference guide connecting CLMS metadata (component, product_type, dataset_identifier) directly to WEkEO's catalogue information: the New WEkCLMS collection ID (WEkEO datasetID) and the WEkEO title.

  • Looking for specific parameters for legacy EO:JRC:DAT:CLMS queries? Refer to the CDSE CLMS documentation for the full list of products and their corresponding datasetIdentifier values.

How to download data step by step


Standard access: Dedicated dataset (Recommended)

  1. Search for your product title (e.g. "Snow Cover", "High Resolution Layers") or specific dataset ID (for example, EO:CLMS:DAT:FSC_EUROPE_20M_DAILY_V2).

  2. Add the dataset to the map. Sign in to your WEkEO account if prompted.

  3. Define your subsetting parameters (date range, spatial extent, variables). If the dataset contains multiple sub-datasets, select the specific product from the Dataset Identifier dropdown menu at this stage, then click Request data to launch the download job.

Alternative access: via EO:JRC:DAT:CLMS

If you prefer querying via the EO:JRC:DAT:CLMS dataset, follow these steps:

Step 1. Find your dataset identifier

  1. Locate your product in the table and copy the value from the Dataset column, this is your datasetIdentifier (e.g. lc_global_100m_yearly_v3). You can check the additional details provided in the table, such as: Product Type, Time Coverage, Spatial Coverage, Resolution, Frequency.

📌 Note: The "Product Type" column is shown for informational purposes, you don't need it for your query. The dataset identifier alone is sufficient.

Step 2. Download via the WEkEO Expert Data Viewer

  1. Open the WEkEO Expert Data Viewer and search for EO:JRC:DAT:CLMS.

  2. Click on Add to map, then on the download button in the layer window. If you are not already logged in, sign in to your WEkEO account.

  3. Enter your dataset identifier in the Dataset Identifier field.

  4. Set your date range, time range, and spatial extent as needed.

  5. Click on Request data to launch the query and download data from the Jobs tab.

💡 WEkEO Pro Tip: Click on Show API Request in the viewer to generate a ready-to-use query for Python, R, cURL, or any other HDA client.

What's next?


Additional resources can be found in our Help Center. Should you require further assistance or wish to provide feedback, feel free to contact us through a chat session available in the bottom right corner of the page.

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