Page 180 - Contributed Paper Session (CPS) - Volume 3

CPS1985 Markus Z.
clear rules have to be developed, which semi-finished statistical products have
to fulfil, before NSIs can integrate this data in official statistical products.
This issue shows that SBCS is an example of the fundamental question of
the role of NSIs in IoT times. The necessary IT infrastructure to produce smart
statistics based on data coming from the IoT has to be capable of handling
much larger amounts of data than the infrastructure currently available in NSIs.
The required skills to transform IoT data into official statistical products do not
exist in most statistical offices. Due to the high demand of these skills on the
labour market and the conditions of government institutions, the recruitment
is especially challenging, if not impossible. The data scientists who are able to
do the job are in institutions that have the IT infrastructure to work with IoT
data because they pay better compared to government institution. During the
PoC SBCS Destatis got a lot of support from the German Space Agency. This
was necessary because the knowledge for object deduction based on sensor
data doesn’t exist at Destatis. Furthermore, for analysing the sentinel data the
Copernicus Open Access Hub were used (https://scihub.copernicus.eu/). This
platform provides full access to all Sentinel-1,-2 and -3 user products. The
Copernicus Open Access Hub is a service for analysing a big amount of data
financed by the German government. It would be economic inefficient to build
up the same expensive IT infrastructure also at Destatis. Therefore, Destatis
has to work with semi-finished statistical products if Copernicus products
should use. As mentioned above, Sentinel data were not well enough for
producing SBCS.

Figure 2: The Copernicus Open Access Hub allows free and open access to
satellite images (https://scihub.copernicus.eu/)

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