3D Geoinformation Science

Breunig, Martin; Al-Doori, Mulhim; Butwilowski, Edgar; Kuper, Paul Vincent; Benner, Joachim; Haefele, Karl Heinz

doi:10.1007/978-3-319-12181-9

Cited by 17 publications

(2 citation statements)

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“…In addition, there are other obstacles can be encountered such as 3D geospatial data complexity format, 3D legation and policy, 3D objects registration, 3D geospatial data management, 3D modeling and presenting information (Alsultan and Rahman, 2015;Biljecki et al, 2015b;Breunig et al, 2015;Decontamination, 2016;Delgado Fernández et al, 2008;Ellul, 2016;Ho et al, 2015;Makanga and Smit, 2010;NCSI, 2017a;Rajabifard and Coleman, 2012;Salim, 2017;Stoter et al, 2015;Zhao et al, 2007).…”

Section: Citygml Standardmentioning

confidence: 99%

Integration Between Surface and Subsurface Spatial Objects for Developing Oman 3d Sdi Based on the Citygml Standard

Kalbani

Rahman

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The paper investigates the capability to integrate the surface and subsurface 3D spatial objects data structure within the 3D spatial data infrastructure (3D SDI) based on the CityGML standards. In fact, a number of countries around the world have started applying the 3D city models for their planning and infrastructure management. While others are still working toward 3D SDI by using CityGML standards. Moreover, most of these initiatives focus on the surface spatial objects with less interest to model subsurface spatial objects. However, dealing with 3D SDI requires both surface and subsurface spatial objects with clear consideration on the issues and challenges in terms of the data structure. On the other hand, the study has used geospatial tools and databases such as FME, PostgreSQL-PostGIS, and 3D City Database to generate the 3D model and to test the capability for integrating the surface and subsurface 3D spatial objects data structure within the 3D SDI. This paper concludes by describing a framework that aims to integrate surface and subsurface 3D geospatial objects data structure in Oman SDI. The authors believe that there are possible solutions based on CityGML standards for surface and subsurface 3D spatial objects. Moreover, solving the issues in data structure can establish a better vision and open new avenues for the 3D SDI.

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Section: Citygml Standardmentioning

confidence: 99%

Integration Between Surface and Subsurface Spatial Objects for Developing Oman 3d Sdi Based on the Citygml Standard

Kalbani

Rahman

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Thus, in addition to the geometry and position of, for example, a wall, such a model also adds such information as the construction materials (masonry or reinforced concrete), use, cost, and course of pipe work. Therefore, only a small number of researchers were able to model intern flood patterns with a geographical object-relational database in combination with a BIM [34][35][36]. Unfortunately, to date, there are no WebGIS tools created which visualise these intern flood patterns in buildings.…”

Section: Intern Flood Model Visualisation and Damage Assessmentmentioning

confidence: 99%

Development of a 3D dynamic flood web GIS visualisation tool

Ackere¹,

Glas²,

Beullens³

et al. 2016

Int. J. SAFE

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Low elevation coastal areas are vulnerable to the effects of sea level rise and to an increase in the frequency and severity of storm surge events due to climate change.Coastal urban areas are at risk because coastal flooding causes extensive damage to energy and transportation infrastructure, disruptions to the delivery of services, devastating tolls on the public's health and,occasionally, significant loss of life. Although scientists widely stress the compelling need to mitigate and adapt to climate change, public awareness lags behind. Because WebGIS maps (web-based geographic information systems) quickly convey strong messages, condense complex information, engage people on issues of environmental change, and motivate personal actions, this paper focuses on searching the ideal flood assessment WebGIS method to encourage people to mitigate and adapt to climate change. Surveys demonstrated that 3D visualisations have an enormous added value because they are more vivid and therefore more understandable and make it easier to imagine the consequences of a flood than2D visualisations. In this research, the WebGIS will be created using Ol3-Cesium and openlayers to visualise a flood event by dynamic layers in a 2D/3D environment.

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4D Building Reconstruction with Machine Learning and Historical Maps

2021

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The increasing importance of three-dimensional (3D) city modelling is linked to these data’s different applications and advantages in many domains. Images and Light Detection and Ranging (LiDAR) data availability are now an evident and unavoidable prerequisite, not always verified for past scenarios. Indeed, historical maps are often the only source of information when dealing with historical scenarios or multi-temporal (4D) digital representations. The paper presents a methodology to derive 4D building models in the level of detail 1 (LoD1), inferring missing height information through machine learning techniques. The aim is to realise 4D LoD1 buildings for geospatial analyses and visualisation, valorising historical data, and urban studies. Several machine learning regression techniques are analysed and employed for deriving missing height data from digitised multi-temporal maps. The implemented method relies on geometric, neighbours, and categorical attributes for height prediction. Derived elevation data are then used for 4D building reconstructions, offering multi-temporal versions of the considered urban scenarios. Various evaluation metrics are also presented for tackling the common issue of lack of ground-truth information within historical data.

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3D Geoinformation Science

Cited by 17 publications

References 0 publications

Integration Between Surface and Subsurface Spatial Objects for Developing Oman 3d Sdi Based on the Citygml Standard

Integration Between Surface and Subsurface Spatial Objects for Developing Oman 3d Sdi Based on the Citygml Standard

Development of a 3D dynamic flood web GIS visualisation tool

4D Building Reconstruction with Machine Learning and Historical Maps

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