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Why is Sentinel Hub Perfect for Earth Observation Hackathons?

There are quite a few applications around the world in precision farming, security, land administration and environment monitoring. Some good examples of applications in agriculture are CLAAS CropView, SataMap and AeroView, and from the security domain the SecureWatch application.

Satamap Global is web-based platform for viewing and analyzing satellite imagery designed for farmers, consultants and other professionals that want to excel at decision making in agriculture and the environment.

Where and How to Start?

You will get the Sentinel Hub account at hackathon. But to get familiar with the service we provide a 30-day trial account for everyone at any time. You will be able to configure your workflow, expose it as an API and integrate it in 3rd party applications.

With Sentinel Hub, you can import Sentinel, Landsat and similar data seamlessly and effortlessly in your favourite GIS application by following our

integration guides. Since the service supports powerful WMS features you will be able to configure Sentinel Hub WMS in QGIS and ArcGIS, or integrate the service with OpenLayers, Leaflet, Google Maps.

Quick tutorial on Sentinel Hub

We also provide a Python package and example Jupyter Notebooks, which help machine learning experts incorporate Sentinel Hub services into their models. As a proof of concept we have shared the

Sentinel Hub cloud detector for Sentinel-2 data.

In our API documentation, you will be able to find details about WMS, WMTS, WFS, and WCS requests, custom URL parameters, possible output formats, atmospheric corrections, custom evaluation script and more. For easier start of understanding the usage of Sentinel Hub WMS service, we have provided the already mentioned Sentinel Playground and EO Browser as open-source.

Hackathons Need Openness to be Successful

We believe that sharing open source applications is now more crucial than ever. We are entering the “new age of remote sensing”, where more and more will be handled by statistical processing and machine learning, rather than visual inspection. To speed up further development, we have chosen the most common platform — GitHub, where we established the Custom scripts repository (a more user-friendly view of the same is available here). We have migrated practically all of our EO products, along with some other popular methods, with the intention to add more as soon as we find some which look promising.

GitHub supports versioning, so scripts can evolve through time, an important feature allowing all of us to add even imperfect scripts. We would be delighted if other people, either our users or not, would contribute their knowledge.

Don’t Miss a Chance to Get Involved

To get involved yourself, share ideas and engage with open data and the best open data processing service out there, we invite you to join the NASA Space Apps Challenge on October 19–21, and various Copernicus hackathons in the coming months.

If you are organizing a hackathon using open satellite data (Sentinel, Landsat, MODIS, etc.) and you would like to use Sentinel Hub services, or you are one of the local organizers from mentioned hackathons, contact us for more information!