<p>Urban heat islands (UHIs) exacerbate thermal stress, disproportionately affecting communities with limited tree cover. While satellite-derived land surface temperature (<InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="42949_2025_277_Article_IEq1.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="20" /> </InlineMediaObject> <EquationSource Format="TEX">\(T{\rm{s}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>T</mi> <mi mathvariant="normal">s</mi> </mrow> </math></EquationSource> </InlineEquation>) is widely used to assess urban heat, it often overestimates conditions compared to air temperature (<InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="42949_2025_277_Article_IEq2.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\(T{\rm{a}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>T</mi> <mi mathvariant="normal">a</mi> </mrow> </math></EquationSource> </InlineEquation>)—the metric more relevant to human thermal comfort. Despite this discrepancy, relatively few studies have leveraged <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="42949_2025_277_Article_IEq2.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\(T{\rm{a}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>T</mi> <mi mathvariant="normal">a</mi> </mrow> </math></EquationSource> </InlineEquation> to quantify the cooling effect of tree canopy in heat-prone areas. Using a citywide network of high-accuracy air temperature sensors and high-resolution satellite data during a heatwave, we first show that surface UHI (SUHI) overestimates urban heat by a factor of two, with SUHI averaging 8.9 °C ± 1.2 vs 4.6 °C ± 1.1 for canopy UHI. We find that tree canopy cover is the dominant cooling factor, explaining 67% of the spatial variation in <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="42949_2025_277_Article_IEq2.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\(T{\rm{a}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>T</mi> <mi mathvariant="normal">a</mi> </mrow> </math></EquationSource> </InlineEquation>. Notably, a 10% increase in tree canopy reduces air temperature by 0.8 °C, while a 30% increase lowers it by as much as 1.5 °C. These findings underscore the essential role of urban greening in mitigating extreme heat, reinforcing the need for targeted tree-planting strategies in vulnerable neighborhoods. By bridging remote sensing with in-situ temperature observations, our study highlights the urgency of integrating air temperature–based UHI assessments into urban planning and climate adaptation policies. Expanding tree canopy coverage is a scalable, nature-based solution for enhancing urban resilience, and this work directly quantifies its impacts.</p>

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Increasing tree canopy lowers urban air temperature by up to 1.5 °C in heat-prone areas

  • Masoud Zaerpour,
  • Simon Michael Papalexiou,
  • Alain Pietroniro

摘要

Urban heat islands (UHIs) exacerbate thermal stress, disproportionately affecting communities with limited tree cover. While satellite-derived land surface temperature ( \(T{\rm{s}}\) T s ) is widely used to assess urban heat, it often overestimates conditions compared to air temperature ( \(T{\rm{a}}\) T a )—the metric more relevant to human thermal comfort. Despite this discrepancy, relatively few studies have leveraged \(T{\rm{a}}\) T a to quantify the cooling effect of tree canopy in heat-prone areas. Using a citywide network of high-accuracy air temperature sensors and high-resolution satellite data during a heatwave, we first show that surface UHI (SUHI) overestimates urban heat by a factor of two, with SUHI averaging 8.9 °C ± 1.2 vs 4.6 °C ± 1.1 for canopy UHI. We find that tree canopy cover is the dominant cooling factor, explaining 67% of the spatial variation in \(T{\rm{a}}\) T a . Notably, a 10% increase in tree canopy reduces air temperature by 0.8 °C, while a 30% increase lowers it by as much as 1.5 °C. These findings underscore the essential role of urban greening in mitigating extreme heat, reinforcing the need for targeted tree-planting strategies in vulnerable neighborhoods. By bridging remote sensing with in-situ temperature observations, our study highlights the urgency of integrating air temperature–based UHI assessments into urban planning and climate adaptation policies. Expanding tree canopy coverage is a scalable, nature-based solution for enhancing urban resilience, and this work directly quantifies its impacts.