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基于多源遥感数据的北京城市热岛研究 被引量:3

Research on Urban Heat Island in Beijing Based on Multi-source Remote Sensing Data
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摘要 首先利用MOD IS数据在像元尺度上获取地表温度反演中所需大气参数—大气水分含量,再利用Landsat TM影像采用Jimenez-Munoz和Sobrino的普适性单通道算法反演地表温度,通过地面实测数据对反演结果进行验证。结果表明,利用多源遥感数据反演地表温度具有较高的精度。用该方法对北京城市热岛状况进行研究,发现北京城市热岛效应十分明显,地表植被覆盖度低是城市热岛出现的主要原因之一。 The atmosphere parameter-atmosphere water vapor content that needed in retrieval of land surface temperature was firstly calculated on pixel scale with MODIS data. The land surface temperature was retried with Landsat TM image by generalized single-channel method of Jimenez-Munoz and Sobrino. The inversion result was detected according to the measured data of land surface temperature. The results showed that the accuracy of the inversion result on land surface temperature with multi-source remote sensing data was higher. The urban heat island status in Beijing was studied by this method. It was found that the urban heat island effect in Beijing was obvious, and the low fractional vege- tation cover in urban areas was one of the main reasons of urban heat island appearing.
作者 彭仲
出处 《安徽农业科学》 CAS 北大核心 2009年第22期10527-10529,10600,共4页 Journal of Anhui Agricultural Sciences
关键词 多源遥感数据 地表温度 城市热岛 Multi-source remote sensing data Land surface temperature Urban heat island
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