DEVELOPMENT OF A DIGITAL TWIN FOR THE MONITORING OF SMART CITIES USING OPEN-SOURCE SOFTWARE Article Swipe
R. R. Sta. Ana
,
J. E. Escoto
,
D. C. Fargas
,
K. Panlilio
,
Asunción Hernando
,
C. J. Sarmiento
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5194/isprs-archives-xlvi-4-w6-2021-281-2021
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.5194/isprs-archives-xlvi-4-w6-2021-281-2021
Cities are consistently motivated to come up with technology-driven solutions that aim to reduce the negative impacts of rapid urbanization. This paper explores open-source software as a platform in visualizing and developing a digital twin, which aids in mitigating the problem by running simulations and generating potential improvements through generated insights. The four essential components examined to develop the methodology are: (1) Visualization of Digital Model; (2) Identification of User Interface and Data Management Requirements; (3) User Interface Set-up and Configuration; and (4) Analysis and Simulations. Different tools for visualizing the city such as Unity3D, QGIS2threejs, and TerriaMap were explored and compared. Though Unity3D and QGIS2threejs can visualize 3D city models, TerriaMap was favored for its capability to visualize large areas in 3D and to create customizable user interfaces. User interface components were identified as well as handling and processing geospatial datasets. For the analysis and simulations, the Land Surface Temperature hotspot detection was performed and integrated into the system to demonstrate its potential to include other simulations in the future.
Related Topics
Concepts
Visualization
Computer science
Geospatial analysis
Hotspot (geology)
Software
Open source
3D city models
Interface (matter)
User interface
Graphical user interface
Human–computer interaction
Open source software
Smart city
World Wide Web
Data mining
Operating system
Geography
Cartography
Geophysics
Bubble
Internet of Things
Geology
Maximum bubble pressure method
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/isprs-archives-xlvi-4-w6-2021-281-2021
- https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W6-2021/281/2021/isprs-archives-XLVI-4-W6-2021-281-2021.pdf
- OA Status
- diamond
- Cited By
- 6
- References
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3215302112
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3215302112Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/isprs-archives-xlvi-4-w6-2021-281-2021Digital Object Identifier
- Title
-
DEVELOPMENT OF A DIGITAL TWIN FOR THE MONITORING OF SMART CITIES USING OPEN-SOURCE SOFTWAREWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-11-18Full publication date if available
- Authors
-
R. R. Sta. Ana, J. E. Escoto, D. C. Fargas, K. Panlilio, Asunción Hernando, C. J. SarmientoList of authors in order
- Landing page
-
https://doi.org/10.5194/isprs-archives-xlvi-4-w6-2021-281-2021Publisher landing page
- PDF URL
-
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W6-2021/281/2021/isprs-archives-XLVI-4-W6-2021-281-2021.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W6-2021/281/2021/isprs-archives-XLVI-4-W6-2021-281-2021.pdfDirect OA link when available
- Concepts
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Visualization, Computer science, Geospatial analysis, Hotspot (geology), Software, Open source, 3D city models, Interface (matter), User interface, Graphical user interface, Human–computer interaction, Open source software, Smart city, World Wide Web, Data mining, Operating system, Geography, Cartography, Geophysics, Bubble, Internet of Things, Geology, Maximum bubble pressure methodTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 4, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
1Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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