Near Real-Time Semantic View Analysis of 3D City Models in Web Browser
Bibliographic Data
| ID | 22034893 |
|---|---|
| Authors | Juho-Pekka Virtanen (0000-0003-0281-9717, Finnish Geospatial Research Institute, corresponding author), Kaisa Jaalama (0000-0002-0377-8497, Aalto University), Tuulia Puustinen (0000-0003-3958-1765, Aalto University), Arttu Julin (0000-0001-9887-1573, Aalto University), Juha Hyyppä (0000-0001-5360-4017, Finnish Geospatial Research Institute), Hannu Hyyppä (0000-0003-2487-3159, Finnish Geospatial Research Institute) |
| Year | 2021 |
| Volume | 10 |
| Issue | 3 |
| Pages | 138 |
| Publication date | 2021-03-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10030138 |
| OpenAlex | W3134005290 |
| Language | EN |
| Citations received | 8 |
| References cited | 57 |
3D city models and their browser-based applications have become an increasingly applied tool in the cities. One of their applications is the analysis views and visibility, applicable to property valuation and evaluation of urban green infrastructure. We present a near real-time semantic view analysis relying on a 3D city model, implemented in a web browser. The analysis is tested in two alternative use cases: property valuation and evaluation of the urban green infrastructure. The results describe the elements visible from a given location, and can also be applied to object type specific analysis, such as green view index estimation, with the main benefit being the freedom of choosing the point-of-view obtained with the 3D model. Several promising development directions can be identified based on the current implementation and experiment results, including the integration of the semantic view analysis with virtual reality immersive visualization or 3D city model application development platforms
3D city models · Data mining · Data science · Geography · Human–computer interaction · Information retrieval · Semantic Web · Virtual reality · Visibility · Visualization · World Wide Web · 3D Modeling in Geospatial Applications · Computer Science · Land Use and Ecosystem Services · Remote Sensing and LiDAR Applications
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Assessing street-level urban greenery using Google Street View and a modified green view index
Measuring daily accessed street greenery
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Analyzing the effects of Green View Index of neighborhood streets on walking time using Google Street View and deep learning
Examining the spatial distribution and temporal change of the green view index in New York City using Google Street View images and deep learning
Relationship between eye-level greenness and cycling frequency around metro stations in Shenzhen, China
Social inequalities in neighborhood visual walkability
Associations between Body Mass Index and Urban “Green” Streetscape in Cleveland, Ohio, USA
Comparing the Normalized Difference Vegetation Index with the Google Street View Measure of Vegetation to Assess Associations between Greenness, Walkability, Recreational Physical Activity, and Health in Ottawa, Canada
The distribution of perceived advantages and disadvantages of infill development among owners of a commonhold and its’ implications
Urban green space, public health, and environmental justice
| Unique citing works | 8 |
|---|---|
| Citations per year | 2 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |