Combine satellite datasets to unlock new possibilities!
Our API now supports data fusion! By merging data from different satellites, you can use the information from each dataset in the same processing script. You could for example pansharpen Landsat 8 using Sentinel-2, use Sentinel-1 where Sentinel-2 is covered by clouds, display DEM contour lines over any other satellite of your choice or return true color Sentinel-3 OLCI under Sentinel-5 cloud product, to achieve beautiful hurricane visualizations (image below). Sounds complicated? Don't worry! Easily learn how to use data fusion yourself by exploring many interesting examples. Possibilities are endless.
Join the third round of the Contest which introduces a new (optional) challenge, with dedicated prizes. In addition to standard scripts we are looking for examples based on a machine learning workflow developed using eo-learn. Submit your scripts until 31 October 2020. There are even early bird submission prizes if you make it before 20 September 2020. To learn more about the requirements, attractive prizes, the jury, and more, visit our Contest page.
If you need some ideas on how to start, read our latest guest blog post How to get your idea and turn it into a script? by one of the winners of the first two rounds of the Contest. See also the results from our previous editions to get inspired.
Common Agricultural Policy Marker Service
We have combined our two-decades-long experience with Common Agricultural Policy - CAP applications (LPIS and GSAA) and Sentinel Hub processing capabilities with significant research and development into machine learning and other signal-processing techniques to develop a generic service for vegetation monitoring. We believe that open sharing of our knowledge will benefit many (and, through feedback, us as well), so we have prepared a series of posts covering the high-level concept, similarity score, mowing and various other markers. The posts are combining business aspects as well as technical findings. Visit our page for more information!
Your feedback, ideas and lessons learned are welcome.
In the last months, EO Browser got a plethora of new features: If you didn’t test them already, check out the pin story builder, the index feature, share pins functionality and much more… With the story builder, you are now able to create your own story from pins, including different visualizations and descriptions. Share your private pin collection with colleagues or friends with just a few clicks or post your favourite visualization on social media from within EO Browser. Find more information in our blog post.
For ease of use of the eo-learn, our EO processing framework in Python, we have created docker images, which are available on Docker Hub. They will be updated at every new eo-learn release. Instead of installing eo-learn in your local environment with
conda, you can now simply pull a docker image and run eo-learn in a docker container. We will maintain two image types, tagged with names
latest image contains a full installation of eo-learn together with a Jupyter notebook environment. On top of that, the
latest-examples image additionally contains all the example notebooks and available data to get you started with eo-learn. For more information check out the image instructions.
We would like to remind you to consider upgrading your scripts to V3 version. Versions V1 and V2 are being deprecated, and will only work until 1 November 2020. At that point all the remaining V1 and V2 scripts will be automatically converted to V3. V1 and V2 will then stop to work, for all service interfaces. To do it in a controlled fashion, do use the conversion tool in the Sentinel Hub Dashboard, under the Configuration Utility. Open your configuration and for all layers requiring conversion, the message will appear on top. To convert the script, just follow the instructions.
Read more about the reasons and impacts of the migration to V3 in our Forum post.
Since the first release almost three years ago Sentinel Hub QGIS plugin has over 50.000 downloads. Last month we decided to give it a significant upgrade and released a version 2.0. We have extended support to data sources, such as Sentinel-3, Sentinel-5P and custom BYOC data sources. New features also include an option to create WFS vector layers that show availability of data on a tile level. The plugin is available at QGIS Python Plugins Repository and can be installed from within QGIS.
- Bring Your Own Data – We have increased COG header size limit from 30k to 1MB, which means that you can now import even larger images. For service reliability improvement, we are introducing additional constraints, which are explained in detail here.
- Introducing Sentinel Hub webinars – We would love to bring the beautiful world of Earth observation data closer to you. To do so, we will organize webinars on various topics. Join our first session on 24 September 2020 to learn how to create useful and beautiful satellite visualizations without any previous knowledge of coding. Apply for the webinar here!
The first stable version of the unified API Earth observation in the cloud
We are happy to announce that Geoscience Australia has decided to use our Batch Processing service, developed within Euro Data Cube initiative, to produce CARD4L-compliant Sentinel-1 coverage for whole continent of Africa. The data will be processed from 2017 onwards, updated regularly. The whole time-series of information will be provided through Digital Earth Africa.
Sentinel-1 composite acquired on 5 September 2020, highlighting built up areas around Port Harcourt, Nigeria (Credit: Digital Earth Africa team)
We are happy to invite you to our presentations at the following events.
It’s going to be an interesting year, working remotely and mainly meeting all of you virtually. Send us your feedback via Forum or social media. We look forward to hearing from you.
The Sentinel Hub team