Context
By using WEkEO, you can access a vast and continuously growing repository of data, explore it through multiple interfaces, and even process it directly in the cloud.
This article guides you on how to get direct access to EODATA and make the most of the available resources 💪
What is EODATA?
EODATA represents a comprehensive and diverse set of Earth observation data from various satellite missions within the Copernicus programme and other sources. Here's an overview of what EODATA includes:
Sentinel-1: C-band radar data, covering the entire world, available in formats such as GRD, SLC, and others
Sentinel-2: High-resolution multispectral data, available in L1C and L2A processing levels
Sentinel-3: Data from altimetry, radiometry, and optical oceanography, available in various processing levels and categories (OLCI, SLSTR, SRAL, SYN)
Sentinel-5P: Atmospheric monitoring data, with L1B and L2 processing levels
Landsat: Historical and current data from Landsat-5, Landsat-7, and Landsat-8, covering Europe and other regions
Envisat: Data from the MERIS instrument, covering the period from 2002 to 2012
SMOS: Microwave radiometry data, available since 2010
ECOSTRESS: Thermal surface monitoring data, available since 2022
List of all available EODATA
List of all available EODATA
Satellite | Product type | Instrument | Spatial Range | Temporal Range | Type of Access |
Sentinel-1 | GRD | SAR C-BAND | World | Last 1 Year | IAD |
Sentinel-1 | GRD-COG | SAR C-BAND | World | Oct-14 - Present | IAD |
Sentinel-1 | RTC | SAR C-BAND | World | Dec-14 - Present | IAD |
Sentinel-1 | OCN | SAR C-BAND | World | Dec-14 - Present | IAD |
Sentinel-1 | RAW | SAR C-BAND | Europe World Rest of World | Jan-21 - Present Oct-14 - Present-1 year Last 1 year | IAD DAD IAD |
Sentinel-1 | SLC | SAR C-BAND | World | Oct-14 - Present | IAD |
Sentinel-2 | L1C | MSI | World | Jul-15 - Present | IAD |
Sentinel-2 | L2A | MSI | World | Jul-15 - Present | IAD |
Sentinel-3 | OLCI Level-1 NTC | OLCI | World | Mar-16 - Present | IAD |
Sentinel-3 | OLCI Level-1 NRT | OLCI | World | Last 1 year | IAD |
Sentinel-3 | OLCI Level-2 NTC | OLCI | World | Mar-16 - Present | IAD |
Sentinel-3 | OLCI Level-2 NRT | OLCI | World | Last 1 year | IAD |
Sentinel-3 | SLSTR Level-1 NTC | SLSTR | World | Mar-16 - Present | IAD |
Sentinel-3 | SLSTR Level-1 NRT | SLSTR | World | Last 1 year | IAD |
Sentinel-3 | SLSTR Level-2 NTC | SLSTR | World | Mar-16 - Present | IAD |
Sentinel-3 | SLSTR Level-2 NRT | SLSTR | World | Last 1 year | IAD |
Sentinel-3 | SRAL Level-1 NTC | SRAL | World | Mar-16 - Present | IAD |
Sentinel-3 | SRAL Level-1 STC | SRAL | World | Last 1 month | IAD |
Sentinel-3 | SRAL Level-1 NRT | SRAL | World | Last 1 year | IAD |
Sentinel-3 | SRAL Level-2 NTC | SRAL | World | Mar-16 - Present | IAD |
Sentinel-3 | SRAL Level-2 STC | SRAL | World | Last 1 month | IAD |
Sentinel-3 | SRAL Level-2 NRT | SRAL | World | Last 1 year | IAD |
Sentinel-3 | SYN Level-2 NTC | SYNERGY | World | Mar-16 - Present | IAD |
Sentinel-3 | SYN Level-2 STC | SYNERGY | World | Last 1 month | IAD |
Sentinel-5P | Level-1B NTC | TROPOMI | World | Apr-18 - Present | IAD |
Sentinel-5P | Level-2 NTC | TROPOMI | World | Apr-18 - Present | IAD |
Sentinel-5P | Level-2 NRT | TROPOMI | World | Last 1 month | IAD |
Sentinel-6A | L1, L2 | POS-4, AMR-C | World | Full archive | IAD |
Landsat-5 | L1G, L1T, L1GT | TM | Europe | 1984-2011 | IAD |
Landsat-7 | L1G, L1T, L1GT | ET | Europe | 1999-2017 | IAD |
Landsat-8 | L1T, L1GT | OLI, OLI TIRS |
| Coverage of Europe | IAD |
Envisat | L1 | MERIS | World | 2002-2012 | IAD |
SMOS | L1B, L1C, L2 | MIRAS | World | 2010 - present | IAD |
S2GL | - | - | Europe | 2017 | IAD |
ECOSTRESS | - | - | WORLD | 2022 | IAD |
These data are accessible through various interfaces, including S3-like object storage, WMS/WMTS, and file systems, allowing easy integration into different processing and analysis workflows.
How to access EODATA?
Access in JupyterHub
Within the WEkEO JupyterHub environment, EODATA is accessible through the graphical interface (via the file browser).
However, you can also reference files directly using their full path, as shown in the code snippet below.
Example: Opening a GRIB File with xarray
This example demonstrates how to load the first GRIB file found in an EODATA directory using xarray:
import xarray as xr
import os
import warnings
warnings.filterwarnings("ignore")
# Path to the GRIB file (assumes the GRIB file is named .grib or .grib2)
folder_path = os.path.expanduser("~/eodata/C3S/orders/066a45fc-dfa4-40a7-956d-75a6655f1a46")
files = [f for f in os.listdir(folder_path) if f.endswith(('.grib', '.grib2'))]
# Open the first GRIB file found
grib_path = os.path.join(folder_path, files[0])
ds = xr.open_dataset(grib_path, engine="cfgrib")
# Display dataset summary
print(ds)
This simple approach enables efficient access to data stored in the EODATA structure without needing to download it locally. Just ensure that the dataset path and file format match your use case.
For users with a Virtual Machines plan
Subscribing to the Virtual Machines plan gives you access to dedicated documentation designed to help you work efficiently with EODATA using the tools and environments included in the plan.
🔍 Check this article to learn how to subscribe to the Virtual Machine plan:
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.