Towards 3D Metadata for Discovering 3D Geospatial Models

Zamyadi, Alborz; Pouliot, Jacynthe; Bédard, Yvan

doi:10.1007/978-3-319-00515-7_16

Cited by 1 publication

(1 citation statement)

References 35 publications

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“…by the group of Peter van Oosterom (van Oosterom and Schenkelaars, 1995), Christine Parent, Stefano Spaccapietra, and Esteban Zimányi (Parent et al 1999;2006), (Chen and Zaniolo, 2000), during the Chorochronos project (Koubarakis et al, 2003;Breunig et al, 2003), Helmut Schäben (Schaeben et al, 2003), the groups of Sisi Zlatanova (Khuan et al, 2008;Breunig and Zlatanova, 2011;Xu and Zlatanova, 2013), Jantien Stoter (Stoter et al, 2011), Jacynthe Pouliot (Pouliot et al 2008;Zamyadi et al, 2014), Thomas Kolbe (Kolbe et al, 2008;Kolbe et al, 2011), Löwner and Becker (Löwner and Becker, 2013), Umit Isikdag (Isikdag, 2014), Alias Abdul Rahman (Duncan and Abdul Rahman, 2015;Azri et al, 2016) and by other authors.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Application of 3d Spatio-Temporal Data Modeling, Management, and Analysis in Db4geo

Kuper

Breunig

Al-Doori

et al. 2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Many of today´s world wide challenges such as climate change, water supply and transport systems in cities or movements of crowds need spatio-temporal data to be examined in detail. Thus the number of examinations in 3D space dealing with geospatial objects moving in space and time or even changing their shapes in time will rapidly increase in the future. Prominent spatio-temporal applications are subsurface reservoir modeling, water supply after seawater desalination and the development of transport systems in mega cities. All of these applications generate large spatio-temporal data sets. However, the modeling, management and analysis of 3D geo-objects with changing shape and attributes in time still is a challenge for geospatial database architectures. In this article we describe the application of concepts for the modeling, management and analysis of 2.5D and 3D spatial plus 1D temporal objects implemented in DB4GeO, our service-oriented geospatial database architecture. An example application with spatio-temporal data of a landfill, near the city of Osnabrück in Germany demonstrates the usage of the concepts. Finally, an outlook on our future research focusing on new applications with big data analysis in three spatial plus one temporal dimension in the United Arab Emirates, especially the Dubai area, is given.

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