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Earth Observation metadata enhancer


Filter Satellite Scenes by Rich Metadata

Tired of not finding satellite data that meets certain criteria? Try our EO-me Client:

https://eome.mundialis.de/


Click here for an introduction on how to use EO-me!

What is EO-me?

The “Earth Observation metadata enhancer” (EO-me) product of mundialis is a service that addresses the issue of identifying specific data tiles in rapidly growing satellite data archives. EO-me enriches the footprints of the Sentinel and Landsat scenes with metadata including respective average temperature, precipitation sums or population in the tile and even dynamic values like NDVI or events like earthquakes. EO-me allows users to filter satellite scenes based on their metadata through user defined thresholds. Its architecture is composed of 2 units: a metadata processing backend and a web frontend. There is also an OpenSearch API for automated queries. EO-me is able to support any satellite mission!

Ihr Nutzen von EO-me

  • Individual and dynamic filters
  • Scenes have been enriched with metadata calculated from the underlying base cartography using zonal statistics
  • You can easily find satellite scenes based on metadata beyond cloud cover and time stamp
  • Identified scenes can be downloaded from the provider’s archives

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Contact

mundialis GmbH & Co. KG
Kölnstrasse 99
53111 Bonn

Phone: +49 (0)228 / 387 580 80
Fax: +49 (0)228 / 962 899 57

E-Mail: info [at] mundialis [dot] de

Latest News

  • Presenting at the ESA Living Planet Symposium 2022

    Tuesday April 19th, 2022
  • Le Kollektiv – Meeting in Bonn

    Monday March 28th, 2022
  • MOOD Science Webinar on COVID-19 Scatterplots

    Thursday March 24th, 2022
  • Update of actinia.mundialis.de to new API version 3

    Tuesday March 22nd, 2022
  • (Deutsch) Ein Rückblick auf die FOSSGIS 2022

    Tuesday March 22nd, 2022
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Blog

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  • Satellite image of the month – March – Marburg (Germany) 2. March 2022
    Marburg – Germany, recorded by the Sentinel-2B satellite on June ...
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