| 基于RS与GIS的东莞市热岛效应动态变化分析* |
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| 引用本文： | 沈德才,杨燕琼,陈跃洲,吴振彪.基于RS与GIS的东莞市热岛效应动态变化分析*[J].广东林业科技,2016,32(1):36-40. |
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| 作者姓名： | 沈德才 杨燕琼 陈跃洲 吴振彪 |
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| 作者单位： | 1. 东莞市林业科学研究所,广东东莞,523106;2. 华南农业大学林学与风景园林学院,广东广州,510640 |
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| 摘 要： | 以2011年Landsat-5和2014年Landsat-8为数据源，利用RS和GIS建模反演东莞市地表温度，研究东莞市2011年和2014年热岛效应，结果表明：用Landsat-5、Landsat-8反演地表温度是可行的；东莞市热岛效应的分布与植被、水体及下垫面有重要关系；2011年东莞市热岛强度以强热岛为主，2014年以中热岛为主；2014年与2011年相比，热岛效应总体下降。
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| 关 键 词： | RS GIS 热岛效应 动态变化 东莞 |
| 收稿时间： | 1/8/2016 12:00:00 AM |
| 修稿时间： | 2016/2/17 0:00:00 |
Dynamic Change of Heat Island Effect in Dongguan City Based on RS and GIS |
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| shendecai,yangyanqiong,chenyuezhou and wuzhenbiao.Dynamic Change of Heat Island Effect in Dongguan City Based on RS and GIS[J].Forestry Science and Technology of Guangdong Province,2016,32(1):36-40. |
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| Authors: | shendecai yangyanqiong chenyuezhou and wuzhenbiao |
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| Institution: | South China AgriculturalUniversity,Dongguan Research Institute of Forestry,Dongguan Research Institute of Forestry |
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| Abstract: | Based on the 2011 Landsat-5 and 2014 Landsat-8 as the data source, the dynamic change of heat
island effect distribution of Dongguan city in 2011 and 2014 was studied through RS and GIS inversion modeling
retrieved the ground brightness temperature. The results showed that using land surface temperature Landsat-5 and
Landsat-8 satellite data to retrieve the ground brightness temperature in Dongguan city is feasible; the distribution
of heat island of Dongguan had relations of vegetation, water, and underlying surface. The heat island was given
priority to with medium heat island in 2011 and the heat island was given priority to with strong heat island in
2014 in Dongguan. The heat island, compared with 2011, was decline in 2014. |
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| Keywords: | RS GIS Heat Island effect Dynamic change Dongguan |
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