Hi there!

The Sentinel Hub Custom Script Contest is on, our 3rd part of the eo-learn article is out, the new API is getting final shape, our contribution to AWS - GEO Cloud Credit Programme was announced, a few Sentinel Hub use-cases were introduced, and our Earth Observation (EO) research team received a valuable recognition of their work. All the above and much more is just a scroll away. So, sit back, relax and dive into details.

Do you think you have what it takes to write a useful custom script for the EO Browser?

Join our Custom Script Contest!

With our data partners, the Copernicus EU Earth Observation programme and the European Space Agency, we would like to share the remote sensing knowledge and are therefore looking for new and innovative ideas and scripts. We invite you to help us at this endeavor and participate in our Custom Script Contest. By simply writing a useful custom script for the EO Browser you can win a cash prize, Sentinel Hub subscription and more. There are 20 awards waiting for contributors. The best one overall will be awarded with a trip to the European Space Research Institute (ESRIN), home of ESA’s center for EO.


For more information about the contest, attractive prizes and how to start, visit our official Custom Script Contest web page and read our blog. We are looking forward to your submissions. The winners of the contest will be announced at the Living Planet Symposium on May 15, 2019 in Milan, Italy.


Land Cover Classification with eo-learn

Part 3: Pushing Beyond the Point of “Good Enough”

The last part of the blog series focuses on experimenting and exploring workflow variations in order to test and improve the results of the land use land cover classification for Slovenia in 2017. The experiments include testing the effects of the cloud masking and checking how different resampling techniques of the temporal interpolation affect the classification results. Additionally, we started playing around with deep learning and neural networks, taking into account both the temporal and spatial information of an area. We decided to share the whole dataset used in the blog for free, so our eo-learn users can run the experiments, improve the results and of course have fun while doing it.

20440c99-e00d-11e7-a98f-06b2d989fe84%2F1553097303488-eo-learn+image+02.pngComparison of different predictions of land cover classification.


API v2 Prototype

As mentioned last time, we are intensively working on the new Sentinel Hub API, which will provide even more control on the processing and distribution of the data. The API is already getting final shape and you can try it yourself. There are still some small bits and pieces to be done before we can claim the first version done, but it is already stable and useful. We are looking forward to your feedback on this one.


API Documentation


Statistics in Sentinel Hub Dashboard

After introducing Rate Limiting in January 2019, we have added statistical information to users' accounts visible in your Sentinel Hub Dashboard. You are now able to see your usage of the service at any time.

20440c99-e00d-11e7-a98f-06b2d989fe84%2F1553521856766-Dashboard.jpgChoose the "Dashboard" in the menu on the left to inspect the number of requests for different period (from one hour up to last 31 days).

20440c99-e00d-11e7-a98f-06b2d989fe84%2F1553521866143-User+Settings.jpgUnder the "User settings" you are now able to overview the number of requests by each one of your instances. Click on the disclosure panel in front of the instance ID to inspect number of requests done per day.


Sentinel Hub Services Supporting Projects Focused to Monitoring of Sustainable Development Goals

At the end of 2018 GEO and AWS announced partnership to offer GEO Member states and research organizations from developing countries an access to cloud resources needed for processing of EO data. We followed AWS’ steps and offered the Sentinel Hub service to help GEO community stepping in the remote sensing world even faster.

By having one unified service access to Copernicus and Landsat data, everyone can build EO applications in a matter of days, even advanced ones like the EO Browser. Besides, in a combination with cloud infrastructure and various open-source tools for machine learning, Sentinel Hub is an indispensable resource for beginners as well as experts.

The substantial service use is offered to all participants of the AWS-GEO programme. The first deadline for proposals is April 12, 2019. Make sure you apply!

Sentinel Hub Use-Cases

Satellite imagery is changing the way we observe and see our planet. Since the beginning of the Copernicus programme we can notice its presence in numerous use-cases. Here are just a few of the latest highlights from our Sentinel Hub blog!

Journalism and Media
Read our guest blog post by Pierre Markuse “Satellite Imagery for Journalism and Media” and his blog, which includes many tips on how and when to use the satellite images for media.

20440c99-e00d-11e7-a98f-06b2d989fe84%2F1553524029228-Journalism+and+Media.jpegThe Camp Fire in California

Environmental Monitoring
A guest blog post by Wim Zwijnenburg “Environmental Monitoring of Conflicts Using Sentinel-2 Data” will give you more insights on how Earth Observation can be utilized in conflicts research. It includes some key moments capturing significant environmental threats caused directly or indirectly by military activities.

20440c99-e00d-11e7-a98f-06b2d989fe84%2F1553523996971-Environmental+Monitoring.pngQayyarah oil wells burning, November 16, 2016. False Color Band

Monitoring Volcanoes
For more on how to identify and analyze potentially active volcanoes with satellite imagery we recommend reading our blog “Active Volcanoes as Seen from Space”. This use-case has also been introduced within Jupyter Notebook on the Sentinel Hub Educational Page and added as a Theme to EO Browser.

20440c99-e00d-11e7-a98f-06b2d989fe84%2F1553523959691-Volcanoes.jpegSelect a desired theme in EO Browser with the drop-down option. To explore this feature on your own you need to be logged in.


Bringing Your Own Data

Did you know, that the Sentinel Hub will enable you to access your own data stored on your S3 bucket with the powerful Sentinel Hub API?

Since data remains on your bucket, you keep full control over it. This functionality requires no replication of the data and enables you to exploit full power of the Sentinel Hub service including the Custom algorithms. It is useful for satellite data and aerial imagery
, machine learning results and any other raster data. Contact us to try this out.

More information


CH4 Added to Sentinel-5P Datasets

Existing Setinel-5P global full archive datasets (Ozone, Nitrogen dioxide, Carbon monoxide, Aerosol, Cloud, SO2 data and HCHO) are richer for Methane product. You can now access CH4 dataset with Sentinel Hub services as well.

20440c99-e00d-11e7-a98f-06b2d989fe84%2F1553518121415-Sentinel-5P+Methane.pngMethane is one of two atmospheric gases responsible for making our world warmer and it can be easily spotted on the image (see it in EO Browser).


eo-learn Open-Source Python Project Wins Best Poster Award at BiDS'19

We are honored to receive a well-deserved recognition of our EO research team's efforts at 2019 Conference on Big Data from Space (BiDS'19). The Conference which was jointly organized by ESA, SatCen, JRC and hosted by DLR took place on 19-21 February, 2019 in Munich, Germany.




Coming Events

To meet us in person and discuss your needs, feel free to send us an email to [email protected] and schedule a meeting with us at the following events:

March 27
April 23-25
GEO Data Technology Workshop: the Era of Big EO Data, Vienna, Austria
May 13-17
June 18-19
Engage 2019, Barcelona, Spain
Please do not hesitate to send us any feedback. You can also use our Forum or meet us in person at the upcoming events. We look forward to hearing from you.

The Sentinel Hub team

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