{"id":14,"date":"2012-04-22T07:33:16","date_gmt":"2012-04-22T05:33:16","guid":{"rendered":"https:\/\/gi4dm.net\/2015a\/?page_id=14"},"modified":"2015-07-17T12:29:57","modified_gmt":"2015-07-17T10:29:57","slug":"programme","status":"publish","type":"page","link":"https:\/\/gi4dm.net\/2015\/programme\/","title":{"rendered":"Programme"},"content":{"rendered":"

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n
Invited speakers<\/strong><\/span><\/td>\n<\/tr>\n
Ed Parsons<\/strong><\/span><\/td>\n<\/tr>\n
\"\"<\/td>\n<\/tr>\n
Here come the Machines. Bringing the power of machine learning to crisis response<\/strong>:the talk will look at how the processing capability of the cloud and big data can be harnessed to build practical applications that may be used to support crisis response.<\/td>\n<\/tr>\n
Ed Parsons is the Geospatial Technologist of Google, with responsibility for evangelising Google\u2019s mission to organise the world\u2019s information using geography. In this role he maintains links with Universities, Research and Standards Organisations which are involved in the development of Geospatial Technology. He is currently co-chair of the W3C\/OGC Spatial Data on the Web Working Group. Ed was the first Chief Technology Officer in the 200-year-old history of Ordnance Survey, and was instrumental in moving the focus of the organisation from mapping to Geographical Information. He came to the Ordnance Survey from Autodesk, where he was EMEA Applications Manager for the Geographical Information Systems (GIS) Division. He earned a Masters degree in Applied Remote Sensing from Cranfield Institute of Technology and holds a Honorary Doctorate in Science from Kingston University, London and is a fellow of the Royal Geographical Society. more …<\/strong><\/a><\/td>\n<\/tr>\n
Thomas Kolbe<\/strong><\/span><\/td>\n<\/tr>\n
\"Kolbe_Thomas_04\"<\/td>\n<\/tr>\n
On the way to CityGML 3.0: 3D City Models for Multi Simulations and the Structuring of Big Urban Data<\/strong>: The presentation will show new directions in the semantic 3D modeling of cities and landscapes. It will show concrete examples where city models have been recently introduced to link distributed and heterogeneous big data from various application areas like energy, environment, transport, and disaster management coming from different city departments. I will also show how these challenges are being addressed in the upcoming new version 3.0 of the CityGML standard.<\/td>\n<\/tr>\n
The research field of Professor Kolbe (b. 1968) is the development of methods for the spatial, temporal and semantic modeling, storage, analysis and visualization of the environment. Key areas are virtual 3D city and landscape models, city system modeling, smart cities, 3D geodatabases, 3D geoinformation systems, GIS & simulations and indoor navigation. Professor Kolbe is the initiator and co-author of the international standard CityGML for semantic 3D city and landscape models. Professor Kolbe studied computer science at the University Dortmund between 1988 and 1993. After completing his studies he worked as a research assistant at the Institute for Computer Science III at the University of Bonn and the Institute for Environmental Sciences at the University of Vechta until 1999. He was awarded his doctoral degree in 1999. From 1999 he was a research assistant, and later a senior research assistant, at the Institute for Cartography and Geoinformation at the University of Bonn. Between 2006 and 2012 he held the Chair of the Department of Geoinformation Technology at TU Berlin. Since 2012 he has been president of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF) and a professor at TUM.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Thursday 1 October<\/span><\/b><\/td>\n<\/tr>\n
Time<\/b><\/span><\/td>\nActivity<\/b><\/span><\/td>\n<\/tr>\n
08:00<\/td>\nRegistration<\/b><\/td>\n<\/tr>\n
09:00<\/td>\nPlenary\u00a0Talk: Simon Lacroix<\/b><\/td>\n<\/tr>\n
09:45<\/td>\nOpening<\/b><\/td>\n<\/tr>\n
10:00<\/td>\nInvited\u00a0Speaker: Devis Tuia<\/b><\/td>\n<\/tr>\n
10:45<\/td>\nCoffee\u00a0Break<\/b><\/td>\n<\/tr>\n
11:15<\/td>\nInivited\u00a0Speaker: Ed Parsons<\/b>
\nHere come the Machines. Bringing the power of machine learning to crisis response<\/td>\n<\/tr>\n
12:00<\/td>\nPanel\u00a0Discussion<\/b><\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nTo be elaborated<\/td>\n<\/tr>\n
12:45<\/td>\nLunch<\/b><\/td>\n<\/tr>\n
14:00<\/td>\nSession\u00a0A: Crisis Management<\/b><\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nC. Corbane, T. De Groeve, D.\u00a0Ehrlich, K. Poljansek<\/b>
\nA European framework for recording and\u00a0sharing disaster damage and loss data<\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nR. Roller, J. Roes, E. Verbree<\/b>
\nBenefits of linked data for\u00a0interoperability during crisis management<\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nG. Lucas, Cs. L\u00e9n\u00e1rt, J. Solymosi<\/b>
\nDevelopment and testing of geo-processing\u00a0models for the automatic generation of remediation plan and navigation data\u00a0to use in industrial disaster remediation<\/td>\n<\/tr>\n
15:30<\/td>\nCoffee\u00a0Break<\/b><\/td>\n<\/tr>\n
16:00<\/td>\nSession\u00a0B: Monitoring 1<\/b><\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nM. Nakagawa, T. Yamamoto, S. Tanaka<\/b>
\nLocation-based infrastructure inspection\u00a0for SABO facilities<\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nT. Fern\u00e1ndez, J. L. P\u00e9rez, F. J.\u00a0Cardenal, A. L\u00f3pez, J. M. G\u00f3mez, C. Colomo, J. Delgado, M. S\u00e1nchez<\/b>
\nUse of a light UAV and photogrammetric\u00a0techniques to study the evolution of a landslide in Ja\u00e9n (Southern Spain)<\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nG. Lucas<\/b>
\nConsidering time in orthophotography\u00a0production: from a general workflow to a shortened workflow for a faster\u00a0disaster response<\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\n<\/td>\n<\/tr>\n
19:30<\/td>\nDinner\u00a0(La Manade Boch)<\/b><\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n
Friday 2 October<\/b><\/span><\/td>\n<\/tr>\n
Time<\/b><\/span><\/td>\nActivity<\/b><\/span><\/td>\n<\/tr>\n
08:00<\/td>\nRegistration<\/b><\/td>\n<\/tr>\n
09:00<\/td>\nPlenary\u00a0Talk: Elmar Eiseman<\/b><\/td>\n<\/tr>\n
09:45<\/td>\nOpening<\/b><\/td>\n<\/tr>\n
10:00<\/td>\nInvited\u00a0Speaker: Thomas Kolbe<\/b>
\nOn the way to CityGML 3.0: 3D City Models for Multi Simulations and the Structuring of Big Urban Data<\/td>\n<\/tr>\n
10:45<\/td>\nCoffee\u00a0Break<\/b><\/td>\n<\/tr>\n
11:15<\/td>\nSession
\nC: Risk Management<\/b><\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nR. Aarsen, M. Janssen, M. Ramkisoen, F. Biljecki, W. Quak, E. Verbree<\/b>
\nInstalled base registration of\u00a0decentralised solar panels with applications in crisis management<\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nH. Sheikhian, M.R. Delavar and A.\u00a0Stein<\/b>
\nIntegrated estimation of seismic physical\u00a0vulnerability of Tehran using rule based granular computing<\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nM. Caprioli, R.Trizzino, R.\u00a0Pagliarulo, M. Scarano, F. Mazzone, A. Scognamiglio<\/b>
\nManagement of environmental risks in\u00a0coastal areas<\/td>\n<\/tr>\n
12:45<\/td>\nLunch<\/b><\/td>\n<\/tr>\n
14:00<\/td>\nSession\u00a0D: Coordination of Disaster Response<\/b><\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nQIU Linyao, ZHU Qing, GU Jieye, DU\u00a0Zhiqiang<\/b>
\nA task-driven disaster data link approach<\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nE. Demir Ozbek, S. Ates, A.C.\u00a0Aydinoglu<\/b>
\nUsing geo-data corporately on the response\u00a0phase of emergency management<\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nT. Bandrova, M. Koutev, L. Pashova,\u00a0D. Savova, S. Marinova<\/b>
\nConceptual framework for educational\u00a0disaster centre \u201cSave the Children Life\u201d<\/td>\n<\/tr>\n
15:30<\/td>\nCoffee\u00a0Break<\/b><\/td>\n<\/tr>\n
16:00<\/td>\nSession\u00a0E: Monitoring 2<\/b><\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nKuldeep, P. K. Garg<\/b>
\nThe role of satellite derived data for\u00a0flood inundation mapping using GIS<\/td>\n<\/tr>\n
\u00a0<\/span><\/td>\nL. A. Gueye, M. S. Keita, , J. O. Akinyede, O. Kufoniyi, G. Erin<\/b>
\nDevelopment of a cartographic strategy and\u00a0geospatial services for disaster early warning and mitigation in the ECOWAS\u00a0sub region<\/td>\n<\/tr>\n
17:30<\/td>\nClosing<\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

–\"\"<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

  Invited speakers Ed Parsons Here come the Machines. Bringing the power of machine learning to crisis response:the talk will look at how the processing capability of the cloud and big data can be harnessed to build practical applications that … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":6,"comment_status":"closed","ping_status":"closed","template":"sidebar-page.php","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/gi4dm.net\/2015\/wp-json\/wp\/v2\/pages\/14"}],"collection":[{"href":"https:\/\/gi4dm.net\/2015\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gi4dm.net\/2015\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gi4dm.net\/2015\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/gi4dm.net\/2015\/wp-json\/wp\/v2\/comments?post=14"}],"version-history":[{"count":259,"href":"https:\/\/gi4dm.net\/2015\/wp-json\/wp\/v2\/pages\/14\/revisions"}],"predecessor-version":[{"id":1093,"href":"https:\/\/gi4dm.net\/2015\/wp-json\/wp\/v2\/pages\/14\/revisions\/1093"}],"wp:attachment":[{"href":"https:\/\/gi4dm.net\/2015\/wp-json\/wp\/v2\/media?parent=14"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}