This document provides an overview of Mundi, an Atos DIAS (Data and Information Access Service) platform. It discusses how Mundi provides simple access to Copernicus and other satellite data through cloud and big data technologies. The document outlines Mundi's offerings, including Jupyter notebooks, APIs, data formats, historical data access, on-demand processing, and its growing marketplace. Users are invited to create an account, explore the marketplace and data, and try Mundi.
4. Combining simple access to Copernicus, other satellite and third
party data.
Using cloud and big data technologies,
Mundi accelerates the time to market for innovative services based
on earth observation data.
Mundi allows to deliver a service that is distinctive, reliable, and
immediately monetizable.
Mundi, the Atos DIAS
Photo: ESA4
5. Use Earth observation data:
a technological & human
challenge
• Combine satellite data with in situ
or enterprise data
• Understand, select, download,
conserve and process each data
• Harness a range of scientific and
technical skills and manpower
• Load and store petabytes of data
• Deploy high performance
processing capabilities
Photo: ESA55
6. Robust Cloud Platform Curated Data Collection
Selected Tools Collection
Adapted Support
Technical - Business – Functional
Key elements
6
10. Mundi Offer
Jupyter Notebook
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• Mundi Jupyter Notebook (open for all Mundi users)
• How-to use Mundi APIs
• Catalogue access : OpenSearch/CSW
• OGC interfaces : WMS/WMTS/WCS
• Access to CMEMS and CAMS products (C3S to come)
• Direct access to products
• Allowing data fusion
• From prototyping to high-processing
• Upgrading Mundi Jupyter Notebook
• JupyterHub for a community
• Jupyter Notebook powered by Spark
11. Mundi Offer
Mundi Explore: example of Front Office
11
• Based on Mundi API
• Display images
• Search for products
• Source code
12. Mundi offering
Basic format
12
• Mundi basic offering = ESA offering
• Users access products with the same formats as available today by ESA.
• The format has the drawback that they are complex and designed for file by file
usage.
• Example: The S1 compressed file formats makes it necessary to copy the
whole file locally, un-compress it and then read it as a file.
• Example: The S2 JPEG2000 format is complex and requires commercial
readers which in most cases are slow.
Sentinel 1
Zipped TIFF
Sentinel 2
JPEG2000
Sentinel 3
NET CDF
Landsat 8
Zipped TIFF
Sentinel 5P
NET CDF
13. Mundi offering
Recommended Mundi format
13
• Establish a Mundi format as a COG-layer for each dataset (Cloud Optimized
GeoTIFF).
Sentinel 1
Zipped TIFF
Sentinel 2
JPEG2000
Sentinel 3
NET CDF
Landsat 8
Zipped TIFF
Sentinel 5P
NET CDF
COG COG COG COG COG
YES
simple
and fast
to read
YES
simple
and fast
to read
YES
simple
and fast
to read
YES
simple
and fast
to read
YES
simple
and fast
to read
14. Mundi offering
Access to historical data
14
• Historical data are accessible for free on Mundi
• More than 300 products can be reloaded per month by a single user
• For specific needs, Mundi can work on a dedicated plan
• Be aware that ESA hubs have rolling policies
Mission Rolling start date
Sentinel-1 12 September 2018
Sentinel-2 Q3 2019
Sentinel-3 Q3 2019
Mission dataset Retention period
Sentinel-1 12 months
Sentinel-2 L1c 12 months
Sentinel-2 L2a 18 months
Sentinel-3 12 months
15. Mundi processing
On-demand
15
• As user of Mundi, a processing service is available
• All processing is possible, few examples of available processings:
• Sentinel-1 GRD Orthoimages
• Cloud mask (Fmask for example) computation
• Mosaicking images
• Conversion to COG (out of last 3 month)
• Your own processing
• Billing of this service depends on the usage
• Lower cost using Mundi processing
16. Mundi Offer
Growing Mundi Marketplace
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• Mundi Advanced Access Datacube
• Joint wok of Atos and MEEO
• Trial access for Mundi users
• API and GUI access
• Sentinel Hub (coming next)
• Full access to Mundi data
• Bring your own data feature
• Trial access for Mundi users
