The second round of the Sentinel Hub Custom Script Contest is in full swing. Learn more about it and find out how to make your scripts more efficient. If you are interested in using Python to fetch, store and analyze satellite data, take a look at the newly available Sentinel Hub xcube Python package. This and much more awaits you in today's issue.

In case you are participating AWS re:Invent conference, don’t forget to reserve your seat for our BlueDot Water Observatory session on 4 December and learn how you can make a global project more cost effective than ever before.


The Sentinel Hub Custom Script Contest


Share your awesome algorithms and win attractive prizes!

Join the second round of our Custom Script Contest and hand in up to three different scripts for the Sentinel Hub EO Browser until January 15, 2020. All the entries will compete under one common category and will be judged by a jury of experts on functionality and usefulness, as well as possible commercial potential. The best three custom scripts will be awarded cool prizes.


Since the Contest could be an interesting project for high school science classes we would like to encourage students to participate. The best custom script submitted by a high school student or team will be awarded a special prize.

Contest page


BlueDot at AWS re:Invent Conference

A cost-effective and reliable solution for monitoring water resources will be presented at the biggest event in the cloud community in the world.

The BlueDot Water Observatory is an Earth-observation-based solution that provides reliable and up-to-date information on surface water levels around the world. Today it already includes more than 13 000 water bodies. To learn more about the technology behind it, attend our Monitoring the Earth Without Costing the World presentation at the AWS re:Invent conference in Las Vegas, Nevada on Wednesday, December 4, 2019. We will show you how to use global satellite imagery stored on Amazon S3 in combination with an efficient use of services such as AWS Lambda, Amazon DynamoDB and Amazon CloudWatch.

20440c99-e00d-11e7-a98f-06b2d989fe84%2F1573206295486-BlueDot.jpgReserve your seat for our presentation at the AWS re:Invent conference and learn how to carry out a global-scale project more cost effectively than previously possible.


Custom Scripts: Faster, Better, Cheaper!

15 tips on improving your evalscripts, saving processing time and reducing cost.

Learn how to write more efficient evalscript code. The suggestions published in our latest blog post should be useful to anyone who works with custom scripts. From general insights to tips for substantial speed improvements and just in time for our Custom Script Contest! See more in the blog.



Identifying Fake Satellite Images

A guest blog post by Pierre Markuse.

Have you ever wondered if the satellite images you see in the media are genuine? Check out this insightful blog post which analyzes satellite imagery and helps you understand which imagery is real and which could be fake. It contains important guidelines for the media in dealing with stories using satellite imagery.

20440c99-e00d-11e7-a98f-06b2d989fe84%2F1574090480449-It%27s+fake...jpgDifferent visualization options and representations of data can mislead the observer.


Introducing the DisplayWall

Create awesome slideshows with your favorite satellite imagery and display them on a big screen.

The DisplayWall is a web application for showing satellite images of locations that you save as pins in EO Browser. It is perfect for touch displays mounted on walls. It is build on top of Sentinel Hub services which provide the latest scenes the moment they are available. This enables one of the DisplayWall’s most important features — its dynamics. To create your list of preferable locations and visualizations all you need is EO Browser where you can access more than 7 PB of satellite data, both historic and the latest acquisitions, increasing at a rate of about 300 TB every month.


Click on the following link on how to set up the slideshow with your favorite scenes.


Sentinel Hub Integration with xcube

We are happy to announce that the Sentinel Hub was successfully integrated with xcube.


xcube is an open-source Python package and toolkit, which enables the generation, manipulation, analysis, and publishing of data cubes from Earth observation data. With this integration in place, it becomes very easy to fetch any data offered by Sentinel Hub and store it in xcube. This includes custom data registered in Sentinel Hub with BYOD functionality. xcube is based on xarray and supports complex data analysis. Together with the ability to efficiently include vector data in the analysis makes it complementary to Sentinel Hub services.

This work is part of the European Data Cube Facility Service project mentioned in one of our previous blog posts. For more on examples and installation we recommend reading the xcube documentation.


New Feature: Batch Processing

Coming soon!

The moment when you can run your evalscripts on a arbitrarily large areas is soon approaching. This feature is still in Beta. We can't promise anything, but if you have a specific use-case in mind, contact us and you might get a sneak peek.

20440c99-e00d-11e7-a98f-06b2d989fe84%2F1574167547232-Hawaii_tiny_bright_newsletter.jpgThe new feature (still in Beta) was tested on a cloudless mosaic of Hawaii.


Coming Events

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

November 26-28
MARS Conference, Prague, Czech Republic
December 2-6
AWS re:Invent Conference, Las Vegas, Nevada
December 3-5
2nd Workshop of CEOS-WGCV ACIX-CMIX, ESA/ESRIN, Frascati, Italy
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