Multisource spatial data integration for use cases applications

Noardo, Francesca

doi:10.1111/tgis.12987

Cited by 8 publications

(3 citation statements)

References 113 publications

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“…Addressing these complexities requires a suitable data integration paradigm that can be performed at different information levels, from various data sources, and enriched with external data related to building elements or environmental data. Noardo [44] emphasized that the user requirements should be clearly defined to ensure a successful integration process that is suitable for multiple use cases, which can be challenging given the specificity of each application.…”

Section: Loin (Level Of Information Need)mentioning

confidence: 99%

IFC-CityGML Data Integration for 3D Property Valuation

El Yamani,

Hajji,

Billen

2023

IJGI

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The accurate assessment of proper value in complex and increasingly high-rise urban environments is a significant challenge. Previous research has identified property value as a composite of indoor elements, such as volume and height, and 3D simulations of the outdoor environment, including variables such as view, noise, and pollution. These simulations have been preliminary performed in taxation context; however, there has been no work addressing the simulation of property valuation. In this paper, we propose an IFC-CityGML data integration approach for property valuation and develop a workflow based on IFC-CityGML 3.0 to simulate and model 3D property variables at the Level of Information Need. We evaluate this approach by testing it for two indoor variables, indoor daylight and property unit cost. Our proposed approach aims to improve the accuracy of property valuation by integrating data from indoor and outdoor environments and providing a standardized and efficient workflow for property valuation modeling using IFC and CityGML. Our approach represents a solid base for future works toward a 3D property valuation extension.

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Section: Loin (Level Of Information Need)mentioning

confidence: 99%

IFC-CityGML Data Integration for 3D Property Valuation

El Yamani,

Hajji,

Billen

2023

IJGI

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“…Although related, it is important to make the distinction between interoperability and data integration. Interoperability is the ability of systems to operate effectively and efficiently in conjunction with other systems, while data integration refers to the seamless combination of data from different data sources (Noardo, 2022). Data integration is a computer science field that focuses on the integration and combination of data from multiple, heterogeneous sources.…”

Section: State Of the Artmentioning

confidence: 99%

System Architecture for Geospatial Virtual Data Integration in Web-Based Applications

Duque,

Brovelli

2023

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

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Abstract. The wide availability of geospatial data from different sources makes it necessary to create systems that are able to use and integrate the data to generate added value. We propose a system architecture following FAIR principles (Findable, Accessible, Interoperable, Reusable) and state-of-the-art methodologies for a server-side web-based application that performs virtual data integration over data sources that implement geospatial information standards. The architecture extends the mediator-wrapper design pattern with additional components that provide the system with additional flexibility and modularity, much needed for modern web applications. The architecture is composed of the mask, which acts as the interface of the system towards external users; a mediator that handles processing and data integration logic; a set of wrappers that communicate with the external data sources; persistent storage to provide flexible configuration and metadata capabilities to the system; and messaging queue for enabling asynchronous processing. At the same time, the architecture’s components are divided into four layers, each one with a specific role: presentation, configuration, processing, and communication.

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“…Geng et al [22] studied a new data fusion algorithm based on an external buffer and TIN tile pyramid to address the issue of existing data fusion algorithms not being able to solve the fusion problem between 3D models of oblique photography and large-scene terrains. Noardo [23] used the processed IFC model to replace an outdated 3D city model, and modified the boundary object to obtain a watertight fusion model.…”

Section: Introductionmentioning

confidence: 99%

A Three-Dimensional Triangle Mesh Integration Method for Oblique Photography Model Data

Che,

Su,

et al. 2023

Buildings

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Oblique photography 3D models are increasingly used in 3D modeling and visualization, urban planning and design, smart cities, smart mines, and other fields. To ensure that 3D models can be replaced and updated, it is necessary to deal with the model holes and incomplete areas caused by the incorrect matching of feature points in the modeling process. Moreover, in 3D models of the planning and management of certain mining areas or urban areas to be developed, regions can also be delineated for replacements and updates. Due to the unsatisfactory display effect of the manually modeled models used to replace and update, the authenticity of the model texture and the detail characteristics of the model triangle meshes cannot be guaranteed during integration. Therefore, this paper proposes a 3D model triangle mesh integration method for oblique photography data which integrates the real and complete 3D models used for replacement with the incomplete part or the part of the original model that needs to be replaced. The experimental results show that this method can integrate the original terrain model and the replacement model efficiently and quickly, the integrated model has no gap, and the display effect is good, effectively achieving model repair or model update and replacement.

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Multisource spatial data integration for use cases applications

Cited by 8 publications

References 113 publications

IFC-CityGML Data Integration for 3D Property Valuation

IFC-CityGML Data Integration for 3D Property Valuation

System Architecture for Geospatial Virtual Data Integration in Web-Based Applications

A Three-Dimensional Triangle Mesh Integration Method for Oblique Photography Model Data

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