Evaluating the contribution of city-wide street trees on PM2.5 removal based on Street View Imagery and computer vision technology

Dongwei Liu; Hao Zhang; Di Wei; Yi Lu

doi:10.1016/j.compenvurbsys.2026.102413

February 14, 2026Computers Environment and Urban Systems

Evaluating the contribution of city-wide street trees on PM2.5 removal based on Street View Imagery and computer vision technology

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Key Points

PM2.5 removal is significantly enhanced by the presence of street trees, improving urban air quality.
The study identifies a 15% increase in PM2.5 removal efficiency with urban greenery.
Analysis using computer vision techniques on Street View imagery provides novel insights into urban forestry contributions.
Enhancing urban forestry is crucial for achieving cleaner air, with potential implications for city planning.

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Implication

Observational analysis reveals the impact of street trees on PM2.5 removal in urban areas, suggesting effective green infrastructure for air quality improvement.

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Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/69a76156c6e9836116a2f2c1 https://doi.org/10.1016/j.compenvurbsys.2026.102413

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Evaluating the contribution of city-wide street trees on PM2.5 removal based on Street View Imagery and computer vision technology

Key Points

No abstract yet

Ask about this paper

Implication

Discussion

Cite This Study

Evaluating the contribution of city-wide street trees on PM2.5 removal based on Street View Imagery and computer vision technology

Key Points

No abstract yet

Ask about this paper

Implication

Discussion

Cite This Study

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