A Satellite-Based Model for Estimating Latent Heat Flux From Urban Vegetation
A Satellite-Based Model for Estimating Latent Heat Flux From Urban Vegetation
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基于卫星的城市植被潜热通量估算模型
DOI：
10.3389/fevo.2021.695995
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发表时间：
2021-08
期刊：
影响因子：
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通讯作者：
I. Smith;Joy B. Winbourne;K. Tieskens;T. Jones;Fern L. Bromley;Dan Li;L. Hutyra
中科院分区：
文献类型：
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作者：
I. Smith;Joy B. Winbourne;K. Tieskens;T. Jones;Fern L. Bromley;Dan Li;L. Hutyra
由于独特的城市热特性，极端高温事件的影响在城市中被放大。城市绿地通过蒸散和遮阳来缓解高温;然而，城市植被冷却潜力的量化往往限于简单的遥感绿化指数或稀疏的原位测量。在这里，我们开发了一个空间上明确的，高分辨率的城市潜热通量模型从植被。该模型迭代通过三个核心方程，考虑城市的气候和生理特征，产生估计的潜热通量在30米的空间分辨率和每小时的时间分辨率。我们发现，在包括城市在内的一系列生态系统类型的潜热通量的实地观测和模型估计之间存在很强的一致性。该模型引入了一个有价值的工具，以足够的分辨率量化城市复杂景观中植被冷却效益的空间异质性，为解决极端高温事件影响的政策提供信息。
The impacts of extreme heat events are amplified in cities due to unique urban thermal properties. Urban greenspace mitigates high temperatures through evapotranspiration and shading; however, quantification of vegetative cooling potential in cities is often limited to simple remote sensing greenness indices or sparse, in situ measurements. Here, we develop a spatially explicit, high-resolution model of urban latent heat flux from vegetation. The model iterates through three core equations that consider urban climatological and physiological characteristics, producing estimates of latent heat flux at 30-m spatial resolution and hourly temporal resolution. We find strong agreement between field observations and model estimates of latent heat flux across a range of ecosystem types, including cities. This model introduces a valuable tool to quantify the spatial heterogeneity of vegetation cooling benefits across the complex landscape of cities at an adequate resolution to inform policies addressing the effects of extreme heat events.