e-Portfolio
e-Portfolio
The aim of the summer school was
to provide a theorical and practical background in three main topics including:
Maps in literature and history
Geography and analysis of surnames
Image from: Link
Image from: Link
The International Spring School
on Visualization (ISSonVis) successfully offered the possibility to share with geovisualization experts. Several conferences were presented by international
lecturers integrating an interdisciplinary context and showing a historical and
cultural background including:
Maps and culture
Honolulu, Hawaii ©Airbus
Three main lectures took place during the first day. Starting with “EO for addressing key environmental challenges” that gave an overview of the new trends and the new technologies in global Earth Observation systems together with their application for the benefit of society. “EO-based biotope type mapping”, the second lecture, gave an overview of the advantages and challenges of mapping biotopes and of some basics associated with multi-temporal information, monitoring season, remote sensing data, and knowledge-base in regard to biotope mapping. Ultimately, “Satellite image time series in the big EO data context” highlighted data cube to refer to large collections of satellite images modeled as multidimensional structures that allow time series analysis.
Images generated by LexCube - Leipzig Explorer of Earth Data Cubes
Two main lectures took place
during the second day. Starting with “Landslide mapping and monitoring using
Remote Sensing” that gave an overview of different methodologies for landslide
mapping and risk assessment. And “Radar interferometry: Introduction and
applications”, the second lecture, gave an overview of radar data and its usage
in DEM generation, change detection, and deformation time series.
The hands-on part consisted of the generation of
a DEM using interferometry in the software SNAP.
Image of DEM generated to the right.
Two main lectures took place
during the second day. Starting with “Cryospheric mapping with remote sensing”
that gave an overview of different problems, data and methods for mapping
glaciers. And “UAV Mapping”, the second lecture, gave an overview of the theory
and the practical considerations when working with unmanned aerial vehicles.
For the hands-on part, the
delimitation of a glacier was carried out using convolutional neural networks
(CNN) and the software e-Cognition was used for this purpose.
Image of the obtained classification.
Werfenweg
was selected as the destination for the field trip. The purpose of the field
trip was to collect data using an unmanned aerial vehicle.
The UAV data processing and
accuracy assessment was carried out to obtain high-resolution outputs such as a DEM and an orthomosaic from the
Werfenweg field trip area using "Metasoft Agishape" software.
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