Satellite multi-sensor data analysis of urban surface temperatures and landcover
Satellite multi-sensor data analysis of urban surface temperatures and landcover
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DOI：
10.1016/s0924-2716(03)00016-9
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发表时间：
2003-06-01
影响因子：
12.7
通讯作者：
Gourmelon, F
中科院分区：
文献类型：
--
作者：
Dousset, B;Gourmelon, F
多个卫星传感器用于分析确定城市地表能量通量及其相互作用的物理过程。这项研究是基于对洛杉矶和巴黎大都市夏季小气候的分析。该方法包括导出控制地表热通量的一些参数，构建热红外图像统计，并利用GIS将其与SPOT-HRV多光谱图像的土地覆盖分类以及大量的原位实验数据相结合。平均影像揭示了地表温度的时空变化和不同的小气候模式。统计图像与土地覆盖分类的综合解释表明：(1)地表物理性质的影响，特别是在热岛大于7度的中心商业区和工业区；（二）水的温化作用；(3)午后地表温度与归一化植被指数呈负相关，证实了城市公园的降温作用；（iv）地表温度与臭氧浓度在日和较长时间尺度上的变化关系。(C) 2003 Elsevier Science B.V.版权所有
Multiple satellite sensors are used to analyze physical processes that determine energy fluxes and their interaction at the urban surface. The study is based on summertime microclimate analyses of the Los Angeles and Paris metropolises. The method consists of deriving some parameters governing the surface heat fluxes, constructing statistics of thermal infrared images, and using a GIS to combine them with a landcover classification from SPOT-HRV multispectral images, and with data from intensive in-situ experiments. The average images reveal spatial and temporal variations of land surface temperature (LST), and distinct microclimatic patterns. The combined interpretation of the statistics images and of the landcover classification shows: (i) the effect of surface physical properties, especially in downtown business and industrial districts that display heat-islands larger than 7 degreesC; (ii) the temperating influence of water; (iii) the negative correlation between afternoon land surface temperature and normalized vegetation index, which confirms the cooling effect of urban parks; (iv) the correlation between variations of surface temperature and ozone concentration at diurnal and longer time scales. (C) 2003 Elsevier Science B.V. All rights reserved.