Martin Sudmanns
impressively defended his PhD Thesis “Big Earth data disruption in Earth
observation: A geospatial perspective of a transition process”.
Over the last four years,
Martin aimed to explore big Earth data as a recent trend from a geospatial
perspective and investigated whether this perspective could add unique value to
tackle some technological challenges, such as EO data management and processing,
but also with the production and the value of geospatial information.
In eight peer-reviewed
publications, Martin focused on three sub-topics:
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New
ways of visualising the EO data distribution, detecting systematic errors, but
also the potential for geographic stratification of methods.
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Approaches
that support analysis units on the object level at different scales were
addressed as a novel logical data model for managing and quering objects and
their spatio-temporal attributes.
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A
“semantic sphere” was investigated and prototypically developed as facilitator
for connecting EO data to real-world concepts and integrating different data
sources to overcome the semantic gap between data and categorical information,
a.
This research contributed
to a better understanding of big Earth data distribution and potentials for
their visualisation, an approach for a logical layer as data model for managing
spatio-temporal objects in big Earth data technology, and the development of a
semantic sphere on EO data cubes.
Martin will start his
Postdoc career at Z_GIS at the University of Salzburg further deepening his
research in EO data cubes. We wish Martin all the best on his future road of
life!
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