Demonstration of tooling for analysis of remote sensing and earth observation data

We would like to draw your attention to our upcoming demonstration of the 
“Remote Sensing – Deployable Analysis Environment (RS-DAT)”
on 10-10-2022 (on location in Amsterdam) .

RS-DAT is an alliance project between the eScience Center and SURF focused on facilitating remote sensing and earth observation based science.

More details will follow, but, but in brief topics covered will include:
 

  • Retrieval, storage and access of remote sensing and earth observation data (at scale) using the STAC standard in combination with SURF’s storage systems
  • Scalable analysis of RS/EO data sets using Dask clusters on Snellius, SPIDER, and SURF Research Cloud. This includes simplified set-up an interaction based on Jupyter Notebooks, placing the power of scalable systems at your fingertips with the ease of your accustomed notebook.
  • Simple scalable deployment of containerized (e.g. Docker) workflows, enabling analysis at scale with established workflows

We look forward to welcoming you and sharing these developments for the Dutch remote-sensing and earth observation science communities.

Please save the date:  10-10-2022; Further details will follow.

Yifat Dzigin, Netherlands eScience Center
on behalf of the RS-DAT team

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