| 2005年7月珠三角地表温度场的遥感监测分析 |
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| 引用本文： | 张月维,何全军,赵晓利,吴永琪.2005年7月珠三角地表温度场的遥感监测分析[J].气象,2006,32(9):23-27. |
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| 作者姓名： | 张月维 何全军 赵晓利 吴永琪 |
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| 作者单位： | 广州气象卫星地面站,510640 |
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| 摘 要： | 城市热环境及其热效应是当前城市气候与环境中最为重要的研究内容之一。分析地表温度（LST）是研究热环境的一个有效手段。选取2005年7月中旬高温期间MODIS数据，利用推广分裂窗算法反演LST，采用最大值合成方法制作珠江三角洲地区热场分布序列图。结果发现：珠三角地区增温初期的高温区主要分布在珠三角外围的城市，呈由外向内的增温过程；珠三角地区沿河道区域的增温幅度最高最快，增温盛期的地表最高温度主要分布在河网密集地区；城市化和工业化程度高的市区热岛效应明显。研究结果符合目前珠三角经济区的发展状况，对城市区域布局和规划有积极意义。
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| 关 键 词： | 台风 珠三角 地表温度场 遥感 |
| 收稿时间： | 2006-01-24 |
| 修稿时间： | 2006-01-242006-06-21 |
A Remote Sensing Monitoring and Analysis of Land Surface Temperature at Pearl River Delta in July 2005 |
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| Zhang Yuewei,He Quanjun,Zhao Xiaoli,Wu Yongqi.A Remote Sensing Monitoring and Analysis of Land Surface Temperature at Pearl River Delta in July 2005[J].Meteorological Monthly,2006,32(9):23-27. |
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| Authors: | Zhang Yuewei He Quanjun Zhao Xiaoli Wu Yongqi |
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| Institution: | Guangzhou Meteorological Satellite Ground Station, 510640 |
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| Abstract: | The thermal environment and thermal effect is one of the most important contents in city climate and environment researches. The land surface temperature (LST) is an efficient way to research thermal environmental problem of earth surface. Based on the MODIS data in the middle ten days in July 2005, the LST images are retrieved by the generalized split-window algorithm, the distribution image of the thermal field is made by the maximum value composing method. The conclusion indicates that the high temperature distributes mainly in the Pearl River Delta periphery in the early of calefaction. In addition, the calefaction around the river grows fastest-highest. In full flourish of calefaction, the highest temperature appears mostly around the areas where the densities of river net are high. The urban heat island effect is more evident in urbanization and industrialization cities. These findings accord with the recent development situation in Pearl River Delta, and it will do help to the city planning and construction. |
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| Keywords: | typhoon Pearl River Delta land surface temperature remote sensing |
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