�ݺ�ߣshows by User: ThomasHKolbe

�ݺ�ߣshows by User: ThomasHKolbe / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: ThomasHKolbe / Mon, 02 Nov 2015 09:26:02 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: ThomasHKolbe Smart Models for Smart Cities - Modeling of Dynamics, Sensors, Urban Indicators, and Planning Actions /slideshow/smart-models-for-smart-cities-modeling-of-dynamics-sensors-urban-indicators-and-planning-actions/54635448 kolbe-smartmodelsforsmartcitiespdf-151102092602-lva1-app6892
(Keynote Talk held on the 29th of October 2015 at the Joint International Geoinformation Conference JIGC 2015 in Kuala Lumpur) Abstract: In Smart City projects huge amounts of different datasets have to be linked or even integrated. A multitude of sensors provide information about the current operation status of the many urban systems like energy and water supplies, transportation, and security situations for monitoring, controlling, and planning. Semantic 3D city models can be used in such contexts to spatially and semantically structure the many data items by relating them with the respective objects of the 3D city model. However, such models have been mostly static representations of the environment in the past, and their inclusion of the urban sensor landscape was not addressed in detail. Also the computation of urban (key performance) indicator values like building energy demands has not been supported by a dedicated conceptual model yet. The presentation will present new frameworks based on semantic 3D city models and Model Driven Engineering (MDE). These frameworks complement the ISO 19109 standard on modeling geographic features. They provide concepts for the modeling of indicators for different application domains like mobility, energy, and security as well as for the semantic modeling of planned changes as transactions on 3D city models. It will be shown how these concepts are employed in Smart City use cases and how they relate to the CityGML standard. Furthermore, it will be shown how CityGML can be extended for representing dynamic object properties including sensor observations and time-dependent patterns for values. ]]>
(Keynote Talk held on the 29th of October 2015 at the Joint International Geoinformation Conference JIGC 2015 in Kuala Lumpur) Abstract: In Smart City projects huge amounts of different datasets have to be linked or even integrated. A multitude of sensors provide information about the current operation status of the many urban systems like energy and water supplies, transportation, and security situations for monitoring, controlling, and planning. Semantic 3D city models can be used in such contexts to spatially and semantically structure the many data items by relating them with the respective objects of the 3D city model. However, such models have been mostly static representations of the environment in the past, and their inclusion of the urban sensor landscape was not addressed in detail. Also the computation of urban (key performance) indicator values like building energy demands has not been supported by a dedicated conceptual model yet. The presentation will present new frameworks based on semantic 3D city models and Model Driven Engineering (MDE). These frameworks complement the ISO 19109 standard on modeling geographic features. They provide concepts for the modeling of indicators for different application domains like mobility, energy, and security as well as for the semantic modeling of planned changes as transactions on 3D city models. It will be shown how these concepts are employed in Smart City use cases and how they relate to the CityGML standard. Furthermore, it will be shown how CityGML can be extended for representing dynamic object properties including sensor observations and time-dependent patterns for values. ]]> Mon, 02 Nov 2015 09:26:02 GMT /slideshow/smart-models-for-smart-cities-modeling-of-dynamics-sensors-urban-indicators-and-planning-actions/54635448 ThomasHKolbe@slideshare.net(ThomasHKolbe) Smart Models for Smart Cities - Modeling of Dynamics, Sensors, Urban Indicators, and Planning Actions ThomasHKolbe (Keynote Talk held on the 29th of October 2015 at the Joint International Geoinformation Conference JIGC 2015 in Kuala Lumpur) Abstract: In Smart City projects huge amounts of different datasets have to be linked or even integrated. A multitude of sensors provide information about the current operation status of the many urban systems like energy and water supplies, transportation, and security situations for monitoring, controlling, and planning. Semantic 3D city models can be used in such contexts to spatially and semantically structure the many data items by relating them with the respective objects of the 3D city model. However, such models have been mostly static representations of the environment in the past, and their inclusion of the urban sensor landscape was not addressed in detail. Also the computation of urban (key performance) indicator values like building energy demands has not been supported by a dedicated conceptual model yet. The presentation will present new frameworks based on semantic 3D city models and Model Driven Engineering (MDE). These frameworks complement the ISO 19109 standard on modeling geographic features. They provide concepts for the modeling of indicators for different application domains like mobility, energy, and security as well as for the semantic modeling of planned changes as transactions on 3D city models. It will be shown how these concepts are employed in Smart City use cases and how they relate to the CityGML standard. Furthermore, it will be shown how CityGML can be extended for representing dynamic object properties including sensor observations and time-dependent patterns for values. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kolbe-smartmodelsforsmartcitiespdf-151102092602-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> (Keynote Talk held on the 29th of October 2015 at the Joint International Geoinformation Conference JIGC 2015 in Kuala Lumpur) Abstract: In Smart City projects huge amounts of different datasets have to be linked or even integrated. A multitude of sensors provide information about the current operation status of the many urban systems like energy and water supplies, transportation, and security situations for monitoring, controlling, and planning. Semantic 3D city models can be used in such contexts to spatially and semantically structure the many data items by relating them with the respective objects of the 3D city model. However, such models have been mostly static representations of the environment in the past, and their inclusion of the urban sensor landscape was not addressed in detail. Also the computation of urban (key performance) indicator values like building energy demands has not been supported by a dedicated conceptual model yet. The presentation will present new frameworks based on semantic 3D city models and Model Driven Engineering (MDE). These frameworks complement the ISO 19109 standard on modeling geographic features. They provide concepts for the modeling of indicators for different application domains like mobility, energy, and security as well as for the semantic modeling of planned changes as transactions on 3D city models. It will be shown how these concepts are employed in Smart City use cases and how they relate to the CityGML standard. Furthermore, it will be shown how CityGML can be extended for representing dynamic object properties including sensor observations and time-dependent patterns for values.

Smart Models for Smart Cities - Modeling of Dynamics, Sensors, Urban Indicators, and Planning Actions from Technische Universit辰t M端nchen

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0 CityGML goes to Broadway - An Open Data 3D City Model for New York City /slideshow/citygml-goes-to-broadway-an-open-data-3d-city-model-for-new-york-city/52700237 kolbe-citygmlgoestobroadwaypdf-150912113700-lva1-app6891
This presentation shows the results of a graduate student project on the creation of a semantic 3D city model of New York City (NYC) based on datasets provided in the NYC Open Data Portal. Different 3D feature types were derived from existing public 2D and 2.5D datasets using spatial and semantic transformations together with (some) photogrammetric analyses. The realized process integrates 26 different datasets from five departments of the NYC administration. The resulting 3D city model is represented in a homogenized and integrated way using the international standard CityGML of the Open Geospatial Consortium (OGC). It comprises all NYC buildings, land parcels, roads, parks, the digital terrain model, and water bodies – all with 3D geometries. Details, demo & downloads: http://www.gis.bgu.tum.de/en/projects/new-york-city-3d/]]>
This presentation shows the results of a graduate student project on the creation of a semantic 3D city model of New York City (NYC) based on datasets provided in the NYC Open Data Portal. Different 3D feature types were derived from existing public 2D and 2.5D datasets using spatial and semantic transformations together with (some) photogrammetric analyses. The realized process integrates 26 different datasets from five departments of the NYC administration. The resulting 3D city model is represented in a homogenized and integrated way using the international standard CityGML of the Open Geospatial Consortium (OGC). It comprises all NYC buildings, land parcels, roads, parks, the digital terrain model, and water bodies – all with 3D geometries. Details, demo & downloads: http://www.gis.bgu.tum.de/en/projects/new-york-city-3d/]]> Sat, 12 Sep 2015 11:37:00 GMT /slideshow/citygml-goes-to-broadway-an-open-data-3d-city-model-for-new-york-city/52700237 ThomasHKolbe@slideshare.net(ThomasHKolbe) CityGML goes to Broadway - An Open Data 3D City Model for New York City ThomasHKolbe This presentation shows the results of a graduate student project on the creation of a semantic 3D city model of New York City (NYC) based on datasets provided in the NYC Open Data Portal. Different 3D feature types were derived from existing public 2D and 2.5D datasets using spatial and semantic transformations together with (some) photogrammetric analyses. The realized process integrates 26 different datasets from five departments of the NYC administration. The resulting 3D city model is represented in a homogenized and integrated way using the international standard CityGML of the Open Geospatial Consortium (OGC). It comprises all NYC buildings, land parcels, roads, parks, the digital terrain model, and water bodies – all with 3D geometries. Details, demo & downloads: http://www.gis.bgu.tum.de/en/projects/new-york-city-3d/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kolbe-citygmlgoestobroadwaypdf-150912113700-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> This presentation shows the results of a graduate student project on the creation of a semantic 3D city model of New York City (NYC) based on datasets provided in the NYC Open Data Portal. Different 3D feature types were derived from existing public 2D and 2.5D datasets using spatial and semantic transformations together with (some) photogrammetric analyses. The realized process integrates 26 different datasets from five departments of the NYC administration. The resulting 3D city model is represented in a homogenized and integrated way using the international standard CityGML of the Open Geospatial Consortium (OGC). It comprises all NYC buildings, land parcels, roads, parks, the digital terrain model, and water bodies – all with 3D geometries. Details, demo & downloads: http://www.gis.bgu.tum.de/en/projects/new-york-city-3d/

CityGML goes to Broadway - An Open Data 3D City Model for New York City from Technische Universit辰t M端nchen

]]> 2325 10 https://cdn.slidesharecdn.com/ss_thumbnails/kolbe-citygmlgoestobroadwaypdf-150912113700-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Urban Analytics & Information Fusion with CityGML /slideshow/urban-analytics-information-fusion-with-citygml/39317636 kolbe-urbaninformationfusionwithcitygmlpdf-140920055556-phpapp01
Semantic 3D City Models are the basis of a new generation of virtual reality. The most relevant objects within a city including manmade and natural objects are mapped to objects within a semantic 3D city model. These objects are classified, further substructured (e.g. a building is decomposed into roof and wall parts etc.), attributed, and have spatial and semantic relations to other objects. The international standard CityGML issued by the Open Geospatial Consortium provides a common vocabulary and definitions for describing and managing urban entities which enables interoperability over the many different cities all over the world. This presentation shows how CityGML based semantic 3D city models are used to link data from diverse application fields like energy planning, disaster management, and environmental analyses on a stable ground. Special focus is on the support of strategic energy planning, demonstrated for the research project "Energy Atlas Berlin" that was funded by the "Climate KIC" of the European Institute for Innovation and Technology (EIT). We show the city-wide estimation of the energy demands of buildings including heating, electricity and warm water energy in the city of Berlin using available official geobase and statistical data integrated within the Energy Atlas Berlin. The tools have been mostly developed at the chair of Geoinformatics at Technische Universität München (TUM). They are now being further developed in follow-up projects and applied with housing companies, energy suppliers, and urban retrofitting initiatives. For further information see the references on the last two slides.]]>
Semantic 3D City Models are the basis of a new generation of virtual reality. The most relevant objects within a city including manmade and natural objects are mapped to objects within a semantic 3D city model. These objects are classified, further substructured (e.g. a building is decomposed into roof and wall parts etc.), attributed, and have spatial and semantic relations to other objects. The international standard CityGML issued by the Open Geospatial Consortium provides a common vocabulary and definitions for describing and managing urban entities which enables interoperability over the many different cities all over the world. This presentation shows how CityGML based semantic 3D city models are used to link data from diverse application fields like energy planning, disaster management, and environmental analyses on a stable ground. Special focus is on the support of strategic energy planning, demonstrated for the research project "Energy Atlas Berlin" that was funded by the "Climate KIC" of the European Institute for Innovation and Technology (EIT). We show the city-wide estimation of the energy demands of buildings including heating, electricity and warm water energy in the city of Berlin using available official geobase and statistical data integrated within the Energy Atlas Berlin. The tools have been mostly developed at the chair of Geoinformatics at Technische Universität München (TUM). They are now being further developed in follow-up projects and applied with housing companies, energy suppliers, and urban retrofitting initiatives. For further information see the references on the last two slides.]]> Sat, 20 Sep 2014 05:55:56 GMT /slideshow/urban-analytics-information-fusion-with-citygml/39317636 ThomasHKolbe@slideshare.net(ThomasHKolbe) Urban Analytics & Information Fusion with CityGML ThomasHKolbe Semantic 3D City Models are the basis of a new generation of virtual reality. The most relevant objects within a city including manmade and natural objects are mapped to objects within a semantic 3D city model. These objects are classified, further substructured (e.g. a building is decomposed into roof and wall parts etc.), attributed, and have spatial and semantic relations to other objects. The international standard CityGML issued by the Open Geospatial Consortium provides a common vocabulary and definitions for describing and managing urban entities which enables interoperability over the many different cities all over the world. This presentation shows how CityGML based semantic 3D city models are used to link data from diverse application fields like energy planning, disaster management, and environmental analyses on a stable ground. Special focus is on the support of strategic energy planning, demonstrated for the research project "Energy Atlas Berlin" that was funded by the "Climate KIC" of the European Institute for Innovation and Technology (EIT). We show the city-wide estimation of the energy demands of buildings including heating, electricity and warm water energy in the city of Berlin using available official geobase and statistical data integrated within the Energy Atlas Berlin. The tools have been mostly developed at the chair of Geoinformatics at Technische Universität München (TUM). They are now being further developed in follow-up projects and applied with housing companies, energy suppliers, and urban retrofitting initiatives. For further information see the references on the last two slides. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kolbe-urbaninformationfusionwithcitygmlpdf-140920055556-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Semantic 3D City Models are the basis of a new generation of virtual reality. The most relevant objects within a city including manmade and natural objects are mapped to objects within a semantic 3D city model. These objects are classified, further substructured (e.g. a building is decomposed into roof and wall parts etc.), attributed, and have spatial and semantic relations to other objects. The international standard CityGML issued by the Open Geospatial Consortium provides a common vocabulary and definitions for describing and managing urban entities which enables interoperability over the many different cities all over the world. This presentation shows how CityGML based semantic 3D city models are used to link data from diverse application fields like energy planning, disaster management, and environmental analyses on a stable ground. Special focus is on the support of strategic energy planning, demonstrated for the research project "Energy Atlas Berlin" that was funded by the "Climate KIC" of the European Institute for Innovation and Technology (EIT). We show the city-wide estimation of the energy demands of buildings including heating, electricity and warm water energy in the city of Berlin using available official geobase and statistical data integrated within the Energy Atlas Berlin. The tools have been mostly developed at the chair of Geoinformatics at Technische Universität München (TUM). They are now being further developed in follow-up projects and applied with housing companies, energy suppliers, and urban retrofitting initiatives. For further information see the references on the last two slides.

Urban Analytics & Information Fusion with CityGML from Technische Universit辰t M端nchen

]]> 2591 14 https://cdn.slidesharecdn.com/ss_thumbnails/kolbe-urbaninformationfusionwithcitygmlpdf-140920055556-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

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0 https://cdn.slidesharecdn.com/profile-photo-ThomasHKolbe-48x48.jpg?cb=1592768864 I accepted a call from Technische Universität München as Full Professor for the chair of Geoinformatics. Hence, I will be moving to Munich in the next 1-2 months. - Chair of Geoinformatics - President of the German Society for Photogrammetry, Remote Sensing, and Geoinformation (DGPF) - Co-Chair of the EU COST Action TU0801 on "Semantic Enrichment of 3D City Models for Sustainable Urban Development" - Initiator and Co-Editor of the CityGML Standard and the Web 3D Service Specification of the Open Geospatial Consortium. Co-Initiator and Co-PI of the IndoorGML specification of the OGC. www.gis.bgu.tum.de/ https://cdn.slidesharecdn.com/ss_thumbnails/kolbe-smartmodelsforsmartcitiespdf-151102092602-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/smart-models-for-smart-cities-modeling-of-dynamics-sensors-urban-indicators-and-planning-actions/54635448 Smart Models for Smart... https://cdn.slidesharecdn.com/ss_thumbnails/kolbe-citygmlgoestobroadwaypdf-150912113700-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/citygml-goes-to-broadway-an-open-data-3d-city-model-for-new-york-city/52700237 CityGML goes to Broadw... https://cdn.slidesharecdn.com/ss_thumbnails/kolbe-urbaninformationfusionwithcitygmlpdf-140920055556-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/urban-analytics-information-fusion-with-citygml/39317636 Urban Analytics & Info...