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How to Create Cloudless Mosaics
Last month we had the chance to play with the merging and stitching of Sentinel-3 images to create a cloudless mosaic spanning the entire continent of Europe, and more. The image, which is made up of scenes captured over four months, was also featured on ESA’s Earth from Space video programme. To learn more on how to create you own in Sentinel Hub, follow the link below.
The Sentinel-3 true color cloud-free mosaic over Europe in the Lambert Azimuthal Equal Area projection.
Release of sentinelhub Python Package 2.0
We have released version 2.0 of Sentinel Hub’s main open-source Python package for Earth observation research. This contains a collection of tools for downloading, managing and transforming satellite data. It primarily supports Sentinel Hub services, however it also provides data from other sources and has a wide range of useful utilities. The code is available at GitHub repository.
Images obtained with the package by evaluating 3 different custom scripts over an image of fields in Brazil (left: Braaten-Cohen-Young cloud detection, middle: NDVI script, right: moisture index).
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Multi-year Time Series of Multi-Spectral Data Viewed & Analyzed in Sentinel Hub
We recently upgraded Sentinel Hub services to make long-term time lapse and analysis even more efficient and made these features available to just about anyone through our showcase tool EO Browser. As a consequence we experienced a flood of amazing time-lapses shared by users through their Twitter accounts. Check out our blog for details how to create your own!
Time-lapse creation in EO Browser.
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“Ways People Use Sentinel” or What Lessons We’re Learning While Sharing Open Data
An anomalous amount of data requests to the Sentinel AWS bucket got us thinking about ways how to share open data while keeping costs under control, as well as how one can most efficiently exploit valuable resources in the cloud. To get more insight into ways people use Sentinel, have a look at our blog.
Global EO Service from your Laptop
What kind of computer resources are required to run a global EO service with more than 5 PB of open data provided by the EU Copernicus' Sentinel program? The standard belief is that it takes high-performance computing either on the premises or in the Cloud. But very often your laptop is all it takes - given that you use existing services like Sentinel Hub and that you focus on areas where it matters.
Current water levels of Sterkfontein Dam (98.3%), Brandvlei Dam (59.9%) and Hakskeen Pan (0%) in South Africa determined using Sentinel-2 imagery provided by ESA.
Explore Imagery from within Jupyter Notebook
Have you ever wondered how to incorporate something like Sentinel Playground into the Jupyter notebook environment? Follow the link below to find answers.
Screenshot of ipyleaflet in action with Sentinel-Hub WMS layer.
The Use of Satellite Imagery in Crisis Management after Flooding
Earlier this year, Greek GIS company GET introduced a crisis management solution based on Sentinel Hub services where they presented the flooding in Farkadona. GET’s prototype algorithm uses SNAP for processing Sentinel-1 imagery and OGC services provided by Sentinel Hub. The final datasets along with the detected flood polygons are displayed dynamically via the GET SDI Portal. This consists of the complete coverage of the phenomenon, and shows the real potential of Sentinel-1 data used in crisis management.
The live demo is available here.
Sentinel Hub at Hackathons
Last weekend we had the pleasure to observe many young talented people in action at the biggest Slovenian students hackathon - DragonHack 2018. Our workshop “Tackling petabytes of satellite data with 6 lines of code” was fully booked, and participants of our challenge "Best Earth Observation Hack" developed awesome solutions in just 24 hours. More about the best teams and their applications will soon follow on our blog.
If you are organizing a hackathon using open satellite data and you would like to use Sentinel Hub services, contact us!
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The Sentinel Hub team