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首页> 外文期刊>GIScience & remote sensing >Analysis of the effect of vegetation on albedo in residential areas: case studies in suburban Sacramento and Los Angeles, CA
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Analysis of the effect of vegetation on albedo in residential areas: case studies in suburban Sacramento and Los Angeles, CA

机译：植被对居民区反照率的影响分析：以萨克拉曼多郊区和加利福尼亚州洛杉矶为例

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Increasingly "urban greening" is being implemented in order to meet goals of sustain-ability. Tree planting is part of these efforts that provide climate and environmental . benefits. Albedo is an important factor in climatological and ecological functioning. Using GIS, this study assesses albedo changes of suburban communities resulting from trees. Based on orthophotos and LiDAR, a shading algorithm is used to examine how tree shading changes albedo throughout the year. For comparison, changes in community albedo were calculated with low and high assumptions for tree albedo. Under the low tree albedo assumption (0.14), community albedo was decreased (-0.07) by the effect of tree shading at all times modeled during the year. Using a high albedo for trees (0.20), the albedo changes were slight (＜-0.01). This indicates the importance of considering the albedo of both the trees planted and the surfaces that are shaded when developing urban greening policies.
机译：为了实现可持续性目标，越来越多地进行“城市绿化”。植树是提供气候和环境的这些努力的一部分。好处。反照率是影响气候和生态功能的重要因素。这项研究使用GIS评估了树木引起的郊区社区的反照率变化。基于正射影像和LiDAR，采用遮荫算法来检查树木遮荫全年如何改变反照率。为了进行比较，在计算树木反照率的低和高假设下计算了社区反照率的变化。在低树木反照率假设（0.14）下，一年中所有时间建模的树荫效应都会降低社区反照率（-0.07）。使用树木的高反照率（0.20），反照率变化很小（＜-0.01）。这表明在制定城市绿化政策时，必须同时考虑植树和阴影表面的反射率。

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