Terrascope is the Belgian Collaborative Ground Segment for Sentinel missions.
It
provides easy access
to:
Terrascope is open and free to use for everyone.
Terrascope cluster consists of:
...and growing!
You can access all data directly using
You can also make platform independent code with OpenEO.
...but how do you choose what to use?
Terrascope offers satellite data and derived products
Scroll down for details...
Sentinel 1 | Sentinel 2 | |
---|---|---|
Instrument | Synthetic Aperture RADAR | Multispectral camera |
Characteristics | X-band, VV/VH polarization, ascending/descending orbits | 12 bands (440nm - 2200nm) (VIS&SWIR) |
Resolution | ~ 5x20 m2 per pixel | 10x10, 20x20 or 60x60 m2 |
Revisit Rate | 6 days (same orbit) 1-2 days (all orbits) |
5 days (same orbit) 2-3 days (all orbits) |
Overpass Time | ~8 AM or ~8PM (summer) ~7 AM or ~7PM (winter) |
~1 PM (summer) ~12 PM (winter) |
Coverage | Belgium | EEA countries (Europe) |
Archive | Since 2015 | Since 2015 (Belgium), 2-year rolling archive (other areas) |
What is it? | |
---|---|
Single Look Complex (SLC) | Full information of data acquisition (signal strength, phase, polarization) – needed for advanced analyses |
Ground Range Detected (GRD) | Signal strength, projected - can be visualized and overlaid with other georeferenced data |
Coherence | Similarity between data takes 6 days apart, projected – can be used to detect changes |
What is it? | |
---|---|
Normalized Differential Vegetation Index (NDVI) | Information about the greenness of the vegetation |
Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) | Information about the photosynthetic activity of green vegetation |
Leaf Area Index (LAI) | Information about the biomass |
Fraction of vegetation Cover (FCOVER) | Information about the extent of vegetation |
Canopy Water Content (CWC) | Information about vegetation drought stress |
Canopy Chlorophyl Content (CCC) | Information about photosynthetic activity |
There are several options available. You can...
TERRASCOPE_S1_SLC_COHERENCE_V1 |
TERRASCOPE_S2_TOC_V2 |
TERRASCOPE_S2_CCC_V2 |
TERRASCOPE_S2_CWC_V2 |
TERRASCOPE_S2_LAI_V2 |
TERRASCOPE_S2_NDVI_V2 |
TERRASCOPE_S2_FAPAR_V2 |
TERRASCOPE_S2_FCOVER_V2 |
CGS_S1_GRD_L1 |
CGS_S1_GRD_SIGMA0_L1 |
CGS_S1_SLC_L1 |
TERRASCOPE_S2_TOC_V2:S2A_20180303T102021_32TPN_TOC_V200 |
TERRASCOPE_S2_TOC_V2:S2A_20180221T102031_32TPN_TOC_V200 |
TERRASCOPE_S2_TOC_V2:S2A_20180129T101251_32TPN_TOC_V200 |
<...> |
TERRASCOPE_S2_TOC_V2:S2B_20190419T101029_32TPN_TOC_V200 |
TERRASCOPE_S2_TOC_V2:S2A_20190401T100031_32TPN_TOC_V200 |
To download individual products, you can follow these steps:
For each product, you will find the following set of files:
Quick look | A small sized image representing the product |
Inspire metadata | An XML file containing the metadata of the parameters |
Scene classification | Scene classification layer to distinguish between snow, cloud, vegetation etc. For more info [insert link here] |
Product image | Actual product image |
In QGIS: Add WMS/WMTS Layer
WMTS
https://services.terrascope.be/wmts/v2/wmts?service=wmts&request=GetCapabilities
Connect
Watch out! Change the Layer name before you press "Add"
Select the date, then press OK
Layer is now available
Note that downloading data to your own machine is not recommended. Rather, you can use virtual environments to access the data or process on the fly directly.
The Terrascope time series service allows you to retrieve time series for a number of Sentinel-1 and Sentinel-2 data layers:
Step 1. Login / Step 2. Open 'Areas of Interest' tab / Step 3. Select a point or draw a polygon / Step 4. Click 'Save'
Click on 'Show Info' to see the graph
Click on the circle button and choose the preferred export option:
Check out this notebook for inspiration!
https://github.com/jurgeneveraerts/Terrascope-Notebooks/blob/master/TimeSeriesDemo.ipynbWith a user Virtual Machine (VM), a developer or scientist can use a Virtual Research Environment, with access to the available data archives, as well as a powerful tool set and libraries for further data exploration and analysis (using e.g. the SNAP toolbox, GRASS GIS, and QGIS) or to develop-debug-test applications (in e.g. R, Python or Java).
Once you have a VM assigned to you, you can easily access the data by exploring the 'data' folder on the desktop.
Data can be accessed directly through Jupyter Notebooks.
For more information, please follow "Terrascope Application Development" training.