Keynote Speakers
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Nicolas Paparoditis The ISPRS Congress Director Head of Research and Education at IGN, The French National Mapping and Forest Inventory Agency nicolas.paparoditis@ensg.eu |
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3D City and Infrastructure Information Modelling and Simulation: A Contribution to Collaborative and Multi-Scale Planning
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Martin Breunig ISPRS Commission IV, WG IV/7 - Geo-Data Management Geodetic Institute Karlsruhe Institute of Technology, Germany martin.breunig@kit.edu
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Collaborative and multi-scale 3D modelling and simulation are key methods for future Geo- Information Systems (GIS) as well as for Building Information Modelling (BIM). Many advanced GIS and BIM applications inherently depend on geo-referencing 3D coordinates, models, data management, visualization, and analysis. Smart cities, BIM, facility and disaster management as well as subsurface exploration and metro planning, need digital support for collaborative work and multi-scale planning. However, the functionality and dissemination of today´s GIS and BIM environments to integrate 3D data modelling and simulation, is still poor. Therefore computer-aided collaborative and multi-scale 3D planning are challenges especially for complex railway and subway track infrastructure projects in the built environment. Many legal, economic, environmental, and structural requirements have to be taken into account. The stringent use of 3D models in the different phases of the planning process will facilitate communication and collaboration between the stake holders such as civil engineers, architects, construction managers, geological engineers, and decision makers. This keynote demonstrates that the future has already started presenting research on concepts, implementations, and experiences of collaborative multi-scale 3D city and infrastructure modelling and simulation gained by an interdisciplinary research group from Karlsruhe Institute of Technology and Technical University of Munich, Germany. Skills and methods from both, the GIS and the BIM world, are banded together to define new 3D methods. New directions are introduced to join approaches from collaborative planning and simulation, 3D multi-scale modelling, spatio-temporal geo-databases, advanced geo-services, and computer vision. The objective is to improve the digital 3D planning process of subway tracks and other infrastructures. Finally, an outlook on future research and applications is given outlining ways for BIM and GIS support in cities of the future. |
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Exploring Big Data in the Maritime Domain
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Professor of Computer Science and chair of the French Naval Academy Research Institute Naval Academy Research Institute christophe.claramunt@gmail.com
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While most of current research in geographical information systems addresses issues often related to phenomena and practices related to the land domain, the maritime environment also provides many application opportunities and research challenges that still deserve to be addressed. In the maritime domain, the correlated computational exploitation of heterogeneous data sources and streaming data is a crucial issue., while online tracking, early recognition of events, and anticipation of vessel trajectories are particularly crucial to safety and operations at sea. The objective of this talk is to review current research challenges and development directions tied to the integration, management, analysis, and visualization of objects moving at sea as well as a few suggestions for a successful development of maritime forecasting and decision-support systems. The talk will focus on developments currently addressed by the EU funded datAcron project (http://www.datacron-project.eu). |
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Statistical Validation of Lithosphere-Atmosphere-Ionosphere Coupling Before Large Earthquakes by Analysing 3 Years of Swarm Satellite Electromagnetic Anomalies
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Angelo De Santis
angelo.desantis@ingv.it |
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Swarm satellite mission by the European Space Agency (ESA) is dedicated to the study of the geomagnetic field and the electromagnetic environment surrounding the planet. We analyse Swarm satellite magnetic and electron density data for 3 years since the satellite launch (November 2013) to look for possible earthquake related anomalies. We define the possible pre-earthquake anomalies in terms of thresholds in root mean squares in an appropriate moving window with respect to the same statistical quantity along the whole satellite track. In addition, for the magnetic field we were able to look at a particular frequency content. We applied the search of satellite anomalies in the whole space-time interval of interest (|geomagnetic latitude|≤50o, 1 Jan 2014 - Dec. 2016) and then compared with earthquakes by means of a superimposed epoch approach in order to establish if the correlation exists or not. Final diagrams are compared also with analogous random simulations in order to assess the robustness of the results obtained from observations. In general, our results point to a better statistical correlation of the magnetic field signal with respect to the electron density, although both are superior with respect to random anomaly distributions. Some possible further studies are suggested in order to better integrate this kind of analysis in a more extended framework where multi-observations and platforms are integrated with the purpose of earthquake forecast. |
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Geographic Challenges in Big Data Management
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Professor, Department of Computer Science University of California, Santa Barbara, USA |
| Managing and manipulating large data sets raise significant and interesting spatial challenges. The First Law of Geography states “Everything is related to everything else, but near things are more related than distant things”. This spatial significance has implications in various contexts. The identification of popular and important topics discussed in social networks is crucial for a better understanding of societal concerns. It is also useful for users to stay on top of trends without having to sift through vast amounts of shared information. We will discuss various novel trend detection approaches that capture structure and geography. Structural trend detection holds the promise of distinguishing viral topics from topics that are diffused mostly through the news media. We will also explore new algorithmic tools which detect correlations between topics and geographic locations. Using Twitter sets, we show that such tools provide interesting location-topic pairs including crisis events and locally significant events. We will conclude by discussing some other challenges that arise when attempting to consistently manage data across geographically dispersed multiple data centers for fault-tolerance and efficiency purposes. | |
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On the Concepts of Reliability and Repeatability in Satellite Radar Interferometry
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Professor in Geodesy and Satellite Earth Observation, Faculty of Civil Engineering and Geosciences Delft University of Technology, Netherlands r.f.hanssen@tudelf.nl |
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Seismo-atmospheric Disturbances from GNSS and Other Remote Sensing Data
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Shanghai Astronomical Observatory, Chinese Academy of Sciences sgjin@shao.ac.cn, sg.jin@yahoo.com
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| Earthquakes often occur and result in civilian casualties and huge Damages. However, it is still a challenge to know the detail and nature of earthquakes as well as predict earthquakes up to now due to lack of dense near-field observations and traditional techniques limitations. Nowadays, the atmospheric parameters and ionospheric total electron content (TEC) can be obtained from global navigation satellite system (GNSS) and other remote sensing data, which can be used to investigate the seismo-atmospheric disturbances and may provide insights on the earthquake. In this paper, seismo-atmospheric disturbances from GNSS and other remote sensing data are presented and reviewed, including observations, theory, methods, recent results and characteristics. The ionospheric perturbations are generated close to the epicenter as acoustic-gravity waves and the atmosphere/ionosphere acoustic and gravity waves by surface Rayleigh waves and tsunamis respectively. These waves are induced by solid-Earth/ocean and atmosphere coupling at the ground or ocean interface with the atmosphere propagating upward until the ionosphere create strong perturbation in plasma density and plasma velocity. | |
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From maps to GIS and VGE: the Evolution of Geographic Language
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Department of Geography and Resource Management & Institute of Space and Earth Information Science The Chinese University of Hong Kong, Hong Kong huilin@cuhk.edu.hk |
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GIS, after continual development in last 60 years, has been widely used in various fields by researchers, governmental officials, businessman, and many professionals and non-professionals. With its root from maps, GIS has more functions including spatial analysis and static spatial modeling. However, many GIS users today are looking for a platform which is of geo-process modeling functions, such as wild fire modeling and air pollution spreading simulation. The framework of GIS with a geo-coded database shows its bottleneck for this kind of dynamic modeling. What should we do for integrating the geo-coded database and the geo-process models? Virtual geographic environments (VGE) could be an answer as a new framework beyond GISystems. |
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The State of Art and Development of Digital Aerial Cameras
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Mostafa Madani |
| In this presentation, the development of digital aerial cameras and the significance advances in the sensor technologies are highlighted. The specifications of multi-frame digital cameras and UAVs, either low oblique or vertical CCDs, are discussed and the process of virtual image generation is briefly presented. Finally, accurate camera calibration methods for providing reliable values for focal length, principal point coordinates, lens distortion, and other camera systematic errors are discussed. | |
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Infrastructure Monitoring from the Space
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Assistant Professor Lyles School of Civil Engineering, Geomatics, Purdue University daniele.perissin@sarproz.com |
| Infrastructure aging is becoming a major concern for many countries nowadays. Identifying stability issues can help preventing failures and saving considerable amount of money. Even when new structures are built, proper monitoring strategies insure a smooth long term management of strategic assets. Most of traditional monitoring technologies (as GPS, optical leveling, total stations) require ground instrumentation and/or ground operational maintenance, resulting in considerable costs. Synthetic Aperture Radar Interferometry, a spaceborne technology in rapid expansion, can be successfully employed to remotely keep an eye on long term deformation phenomena that affect aging infrastructures, considerably reducing monitoring costs. SAR images taken by orbiting satellites, in fact, are able to illuminate wide areas at once (thousands of sqkm) and at the same time reach a millimeter precision. In this talk several monitoring cases will be analyzed, highlighting characteristics and limitations on the technology. An overview of research directions and future trends will be given as well. | |
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Faculty Geomatics, Computer Science and Mathematics University of Applied Sciences Stuttgart, Germany dietrich.schroeder@hft-stuttgart.de |
| To reach the goals of the United Nations Climate Change Conferences, renewable energies have to take over a major share of the electricity production. This is even more important considering the nuclear power phase-out decided by some European countries like Germany and Switzerland and the existing ban for nuclear power plants in other countries. As the renewable energy revolution can only be achieved by small and decentralized power plants using wind, biomass, solar or hydropower, Geoinformation can play a very important role in the evaluation of suited areas, for the monitoring of land consumption, for the evaluation of the disturbance of the appearance the landscape, etc. In this talk an overview of different applications will be given showing how Geoinformation and GIS are used for planning and monitoring of renewable energy power plants but also in public discussions about the needed resources and optimal locations of the plants. |
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Assessing Environmental Issues by Remote Sensing – Sustainable Development Goals (SDG) and Urban Sustainability Indicators (SI)
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Emeritus Professor School of Civil and Environmental Engineering The University of NSW, Australia j.trinder@unsw.edu.au |
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On 1 January 2016, the 17 Sustainable Development Goals (SDG) of the UN 2030 Agenda for Sustainable Development, which was adopted by world leaders in September 2015 at an historic UN Summit, officially came into force. With these new Goals which apply to all people of the earth, countries, space agencies, NGOs and all bodies which are able to influence the achievement of these goals should ‘mobilize their efforts to end all forms of poverty, fight inequalities and tackle climate change, while ensuring that no one is left behind’. As well as the 17 Sustainable Development Goals, (SDG), 169 targets have been set within the goals. Organizations are still mobilizing their efforts to achieve these targets. ISPRS for example, has planned a special issue of the ISPRS Journal of Photogrammetry and Remote Sensing to demonstrate the contributions that photogrammetry, remote sensing and the spatial information sciences can make to achieve these goals. |
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