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High Performance and Scalable Earth Observation Data Processing based on Kubernetes

Session

Until February 11:
✓ Transformation Day for free
✓ Team discounts
✓ Save up to £330

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Until February 11:
✓ Transformation Day for free
✓ Team discounts
✓ Save up to £330

Register Now

Until March 4:
✓ Transformation Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save up to €870
Register now
Bis 4. März:
✓ Transformation Day for free
✓ Raspberry Pi oder C64 Mini for free
✓ Bis zu 870€ sparen
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Until June 18:
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save over $840
Register now
Until June 18:
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save over $840
Register now
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Vielen Dank für Ihre Teilnahme!


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Until July 2:
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $330
Register now
Until July 2:
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $330
Register now
Infos

Earth Observation applications are benefiting from a constantly growing amount of data from satellites. The company Vista is facing the challenge to exploit the available remote sensing data, making use of sophisticated algorithms that demand high computing power for a growing number of customers and thus increasing areas. In the presented use case a Docker image containing all the needed software for pre-processing of Sentinel-2 data has been build. This image is performing an atmospheric correction, computation of cloud and cloud shadow geometry, specific methods of radiative transfer modelling for classification and vegetation parameter retrieval of one satellite image. A Kubernetes cluster consisting of 10 worker nodes, each equipped with 32 CPUs and 64 GB of RAM, has been set up on the Telekom Cloud. A master node is performing the job management of the whole cluster, allowing easy distribution and orchestration of jobs. In the described set-up, the whole processing power of 320 Cores and 640 GB of RAM can be accessed, which could also easily be further extended. Accessing the whole processing power of the cluster, 700 Sentinel-2 scenes with a total of 3 TB storage needed are processed simultaneously within 24 hours delivering the basis for downstream products.

This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMünchen . Take me to the program of . Hier geht es zum aktuellen Programm von London London .

This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMünchen . Take me to the program of . Hier geht es zum aktuellen Programm von Berlin Berlin .

This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMünchen . Take me to the program of . Hier geht es zum aktuellen Programm von New York New York .

This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMünchen . Take me to the program of . Hier geht es zum aktuellen Programm von Munich München .

This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMünchen . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapur .

This Session Diese Session originates from the archive of stammt aus dem Archiv von MunichMünchen . Take me to the current program of . Hier geht es zum aktuellen Programm von London London , Berlin Berlin , New York New York , Munich München or oder Singapore Singapur .

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