Conference Agenda

The conference agenda provides an overview and details of sessions. In order to view sessions on a specific day or for a certain room, please select an appropriate date or room link. You may also select a session to explore available abstracts and download papers and presentations.

Session Overview
08-03: Applications of earth observation to assess urban service delivery
Wednesday, 27/Mar/2019:
3:45pm - 5:15pm

Session Chair: Moses Musinguzi, Makerere University, Kampala, Uganda
Location: MC 2-800

Show help for 'Increase or decrease the abstract text size'

Catalyzing innovation for global urban monitoring from a holistic utilization of big earth data, artificial intelligence and open knowledge

Thomas Esch1, Felix Bachofer1, Jakub Balhar2, Martin Böttcher3, Enguerran Boissier4, Mattia Marconcini1, Alessandro Marin5, Emmanuel Mathot4, Annekatrin Metz-Marconcini1, Fabrizio Pacini4, Marc Paganini5, Tomas Soukup2, Vaclav Svaton6, Julian Zeidler1

1German Aerospace Center (DLR), Oberpfaffenhofen, Germany; 2GISAT s.r.o., Prague, Czech Republic; 3Brockmann Consult GmbH, Geesthacht, Germany; 4Terradue Srl, Rome, Italy; 5European Space Agency (ESA), ‎Frascati, Italy; 6IT4Innovations – VSB Technical University of Ostrava, Ostrava-Poruba, Czech Republic

To facilitate the exploration of new opportunities arising from the digital transformation of our society, the Urban Thematic Exploitation Platform (U-TEP) has been set-up. This enabling instrument represents a virtual environment that combines open access to multi-source data repositories (in particular from earth observation) with dedicated data processing, analysis and visualisation functionalities. Moreover, it includes mechanisms for the development and sharing of technology and knowledge. This contribution provides a detailed introduction to and demonstration of the U-TEP system and functionalities, along with a presentation of ‘best-practice” use cases. So far, more than 330 institutions from over 40 countries have requested U-TEP products, services and platform access. Thereby the user feedback indicates that U-TEP can help to implement more effective concepts and strategies towards sustainable urban and spatial development by unlocking the understanding of the complex processes, interdependencies, and effects related to the grand challenge of global urbanization and rural transformation.


Earth Observation for supporting urban land use policy implementation

Thomas Haeusler, Sharon Gomez, Amelie Broszeit

GAF AG, Germany

The National Urban Planning process is comprised of several stages from Feasibility, to Diagnostics, Formulation, Implementation, Monitoring and Evaluation. In order to implement these steps evidence-based approaches for decision making are needed. Geo-spatial data play a major role in evidence based urban planning; the paper presents case studies from a European Space Agency project collaborating with the Multi-Lateral Development Banks on the application of such products for urban planning in sixteen global Cities. The satellite based land use and derived products such as green areas, transport provided Cities with information on urban growth patterns, urban densification and the development of unplanned settlements. Specific case studies in Africa and Asia will be presented to illustrate the utility of the geo-spatial data for effective and improved urban planning and policy development processes


Earth Observation – A support for the distributed energy sector

Rainer Malmberg, Elke Krätzschmar

IABG mbH, Germany

A sustainable planning of affordable distributed energy installations considers many factors, requires draft but up-to-date analysis of settlements potentially effected, in combination with their surroundings. It provides a picture of the actual situation, its potential effect on local development, and with this can support a well-balanced improvement in line with the UN SDG 7.

This presentation will show, on how Earth Observation Services can support site identification and assessment by providing up-to-date information layer, such as urban extent, infrastructural and agricultural elements as well as information related to relief and potential hazards, among others. The significant qualitative increase in site identification accuracy will be shown exemplarily and is based on intense stakeholder engagement within the African context.

The outcomeis to provide ready-to-run cost-efficient, standardized solutions suitable for a scalable site identification process following different aspects, such as remoteness of a region, economic viability, vulnerability regarding natural hazards or other.