Control Sentinel Hub from within QGIS

Sentinel Hub Blog
Published in
3 min readNov 29, 2017


Sentinel Hub QGIS Plugin

Exploiting multi-temporal and multi-spectral satellite data without the right tools can be tedious if not downright impossible work. To make life easier, we have developed the Sentinel Hub QGIS plugin which allows you to configure and harness the power of Sentinel Hub services directly in QGIS. It will help you visualise Sentinel data, either by itself, or in any other project you may be working on.

We encourage collaboration and further development, so we are releasing this component as open source to the QGIS community! The plugin can easily be reworked for other WMS data sources, especially those with a time component. Check our GitHub repository for the plugin as well as our other tools (Copernicus Browser, EO Browser and eo-learn).

Let’s take a look how to use it in QGIS!

  1. To install the Sentinel Hub QGIS plugin go to “Plugins” in QGIS and choose “Manage and instal plugins.” Search for “Sentinel Hub” and click “Install”.

2. You should now be able to see the Sentinel Hub QGIS plugin icon in the toolbar. After clicking on the icon the Sentinel Hub plugin opens.

Input your instance ID which you can get in our Configuration Utility. If you don’t have an account yet, you can register for Copernicus Data Space Ecosystem account here, or apply for the Sentinel Hub trial account here, and test the rest of the Sentinel Hub services as well.

3. Afterwards you shall be able to select from the list of available layes in your instance as well as the desired coordinate reference system. Set the other parameters as well: time range or exact date, and cloud coverage. The image will show up in the QGIS window.

4. You can also download the image in different formats, if desired. You can download the currently visible image extents or a custom area. Here you can also override the mosaicking priority of the image (such as most recent, least cloud coverage, etc.) and the resolution.

Read also the Copernicus Data Space Ecosystem blog post with detailed information.