Urban Visual Intelligence: Studying Cities with Artificial Intelligence and Street-Level Imagery

Zhang, Fan; Salazar-Miranda, Arianna; Duarte, Fábio; Vale, Lawrence; Hack, Gary; Chen, Min; Liu, Yu; Batty, Michael; Ratti, Carlo

doi:10.1080/24694452.2024.2313515

Cited by 9 publications

(1 citation statement)

References 152 publications

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“…Because of this wealth of affordable high-resolution imagery, GIS and remote sensing analysis techniques are adapting and evolving rapidly to unlock the vast geographic information that can be derived from these resources, often in near-real time, creating new opportunities and tools for researchers, natural resource managers, conservationists, and other decision-makers [14].…”

Section: High-resolution Imagery and The Benefits Of Urban Forestsmentioning

confidence: 99%

A Spatial Analysis of Urban Tree Canopy Using High-Resolution Land Cover Data for Chattanooga, Tennessee

Mix,

Hunt,

Stuart

et al. 2024

Applied Sciences

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Urban tree canopy (UTC) provides urban residents with numerous benefits, including positive mental and physical health, the mitigation and prevention of urban heat islands, and a sense of place. Numerous studies have shown that as the wealth of a community decreases, so does the amount of UTC found in the community; thus, wealthier communities are more likely to enjoy the benefits that urban forests provide. Emerging technologies in remote sensing and GIS are allowing for new opportunities to study and understand the relationships between urban neighborhoods and UTC. In this study, land cover data for Chattanooga, Tennessee were derived from high-resolution (50 cm) multispectral imagery to assess the previously unknown extent and distribution of UTC and to measure the extent of UTC by neighborhood and census block group level. Using exploratory regression analysis, variables representing income, population density, race, educational attainment, and urban heat islands were analyzed to investigate the influence of UTC on neighborhood characteristics. This study found that UTC represented half of the total land cover composition, the tree equity was not as profound as shown in other cities, and the lack of UTC likely influences the prevalence of urban heat islands. This study also shows the importance and utility of using high-resolution imagery and land cover to assess and understand the impact and distribution of UTC in urban environments.

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Section: High-resolution Imagery and The Benefits Of Urban Forestsmentioning

confidence: 99%

A Spatial Analysis of Urban Tree Canopy Using High-Resolution Land Cover Data for Chattanooga, Tennessee

Mix,

Hunt,

Stuart

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

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Urban Visual Intelligence

Zhang

2024

International Encyclopedia of Geography

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Understanding the visual dimensions of cities is crucial for shaping urban spaces and influencing human behavior. With the advent of big data and artificial intelligence (AI), urban studies are experiencing unprecedented opportunities for real‐time data collection and analysis. Urban visual intelligence (UVI) leverages large‐scale street‐level imagery and AI techniques to systematically observe, interpret, measure, and understand urban environments. This approach enhances our understanding of urban life, supports sustainable development goals by uncovering hidden patterns, and provides actionable insights for urban resilience and quality of life.

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