More information and the link to the registration can be found here. here.
EO-Lab offers developers and scientists free and high-performance access to data from national missions such as TerraSAR-X, TanDEM-X and EnMAP for their research projects. Through the connection of EO-Lab to the CODE-DE Cloud, all Copernicus data available there are also available on EO-Lab. In addition, the direct link to CREODIAS, one of the largest and best-performing online data archives for satellite data from the European Copernicus mission, provides fast access to more than 25 PB of remote sensing data.
The EO-Lab Portfolio provides an overview of the extensive EO-Lab data offering. The description of the individual data sets contains details on access and the respective usage options on EO-Lab on the one hand and links to further information on the other.
The easy-to-use EO Browser enables quick data queries and visualises selected scenes on a map. In addition, initial analyses such as a vegetation index can be created with predefined processors and downloaded as an image.
For the development of artificial intelligence models and for the analysis and processing of large amounts of data, the EO-Lab platform offers extensive computing and storage resources based on state-of-the-art technology. Thus, a large contingent of GPUs and modern CPUs is available together with a generous amount of memory.
Innovative tools, such as JupyterLab, DataCubes and VM Images with pre-installed software libraries, enable both geo-IT experts and developers as well as occasional users to benefit from the cloud resources. The portfolio gives an overview of the cloud services available on EO-Lab.
The EO Finder is the data catalogue of the EO-Lab. It not only lists data on EO-Lab and CODE-DE, but also searches the data catalogue of CREODIAS and the Copernicus Contributing Missions. Registered users can load data into their own processing environment or apply predefined processors "on-the-fly" to Sentinel-1 and Sentinel-2 data stored on the EO-Lab platform. These processors range from simple preprocessing to advanced atmosphere correction algorithms.
The EO-Lab support offers online material on the one hand and personal consultations on the other, so that you can quickly find your way around EO-Lab.
Extensive information material available online supports familiarisation and routine use of the EO-Lab resources as efficiently as possible: The help pages contain instructions on how to use the portal, how to register, how to apply for quotas and how to use the EO-Lab infrastructure. Details on the data and service offering are described in the portfolio.
Information activities such as online seminars tailored to the different user needs are held regularly. They either focus on general aspects of the use of EO-Lab, present new methodologies, or highlight selected key topics based on concrete applications. The online seminars will be recorded and made available online as part of the information material.
The EO-Lab Support Team is also personally available for questions and problems and is happy to receive suggestions for the further development of EO-Lab. The easiest way to reach the support team is via the contact form, but you are also welcome to send an email to support@eo-lab.org. The German and English-speaking support team can be reached by phone on +49 89 235 405 06 weekdays from 9:00 a.m. to 5:00 p.m.
EuroCrops is a Europe-wide harmonised and machine-readable dataset that reflects the cultivation status of crops with a high spatial accuracy. The dataset provides a valuable basis for the development of automatic vegetation classification methods from multispectral and multitemporal satellite data and serves in particular as a training dataset for AI models.
The aim of the online seminar "EuroCrops" is to show how users benefit from using EuroCrops together with the computational power of EO-Lab and the Sentinel datasets.
Date: June 15, 2023
Time: 13:30 / 1:30 PM
Duration: 60 minutes
Language: English
The architecture is of interest to anyone who wants to process large amounts of geodata without too much background knowledge and display and share the results directly in a web-based GIS. Existing and processed geodata can be integrated as well.
The WebGIS also offers the possibility to interact with the geoprocessing engine and thus to access, feed and execute geoprocessing functions via a simple, web-based interface. The results can then be displayed in WebGIS as an OGC-compliant WMS.
Date: June 22, 2023
Time: 13:30 / 1:30 PM
Duration: 60 minutes
Language: English
EO-Lab will be presented as part of a lecture by the German Space Agency at DLR. More information about the symposium can be found on the official website.
Most important on EO-Lab are the scientists and developers and their research tasks, which they realise on EO-Lab. EO-Lab specifically supports cooperation between users. In this way, computing resources and data can be shared in project groups and results can be presented in an appealing way via the planned WebGIS. The uniform technology, data architecture and administration of EO-Lab and CODE-DE also allows algorithms and process chains to be easily transferred between the platforms.
On the "Projects" page we present a selection of representative projects and how they benefit from the EO-Lab data and service portfolio. If you are running a project on EO-Lab and think that your experiences could be interesting for other users, please contact us!
Teamwork and the exchange of experiences are elementary for the successful and efficient implementation of ideas. EO-Lab supports this in many ways. Project teams can use quotas and resources across organisations and modern communication tools are offered. The user forum, for example, is designed as a joint forum with CODE-DE. This should facilitate and motivate the exchange of experiences between the users of the two platforms, EO-Lab and CODE-DE.
Technical Implementation and Operation:
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