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High Performance and Scalable Earth Observation Data Processing based on Kubernetes

Session

NEW SCHEDULE:
✓ August 31 – September 3

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NEW SCHEDULE:
✓ August 31 – September 3

Register Now

Until April 30:
✓ Raspberry Pi or C64 Mini for free
✓ Save up to 520 €
Register now
Bis 30. April:
✓ Raspberry Pi oder C64 Mini for free
✓ Bis zu 520 € sparen
Jetzt anmelden
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
Until May 28:
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $690
Register now
Until May 28:
✓ Workshop Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $690
Register now
Until Conference Starts:
✓ Group Discount
✓ Individual offers for
Freelancers and employees of scientific institutions

Register now
Bis Konferenzbeginn
✓ Kollegenrabatt

✓ Sonderkonditionen für Freelancer und
Mitarbeiter von wissenschaftlichen Einrichtungen

✓ Bis zu 375 € sparen
Jetzt anmelden

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 belongs to the Diese Session gehört zum Programm vom New YorkNew York and  und MunichMünchen program. Take me to the program of . Hier geht es zum Programm von London London .

This Session belongs to the Diese Session gehört zum Programm vom New YorkNew York and  und MunichMünchen program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

Take me to the full program of Zum vollständigen Programm von New York New York .

This Session belongs to the Diese Session gehört zum Programm vom New YorkNew York and  und MunichMünchen program. Take me to the program of . Hier geht es zum Programm von Singapore Singapur .

Take me to the full program of Zum vollständigen Programm von Munich München .

This Session Diese Session belongs to the gehört zum Programm von New YorkNew York and  und MunichMünchen program. Take me to the current program of . Hier geht es zum aktuellen Programm von London London , Berlin Berlin , New York New York , Singapore Singapur or oder Munich München .

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