| 张掖绿洲城市热效应的遥感研究 |
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| 引用本文： | 刘三超,张万昌.张掖绿洲城市热效应的遥感研究[J].国土资源遥感,2003,14(4):17-21. |
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| 作者姓名： | 刘三超 张万昌 |
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| 作者单位： | 南京大学国际地球系统科学研究所,南京,210093 |
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| 基金项目： | 国家重点基础研究发展规划项目(2001CB309404)，海外青年学者合作研究基金(40128001)，教育部科学技术重点项目(2001)。 |
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| 摘 要： | 以张掖及周边绿洲为研究区,采用Gilabert大气校正模型对TM图像1～5,7等6个波段进行大气校正。在此基础上,采用基于TM6波段的单窗算法,反演出行星亮度温度和地表真实温度,进一步分析了区域热量分布差异并探讨这一差异形成原因。结果表明:张掖及周边绿洲区存在明显的热量分布差异,热岛现象非常显著,卫星图像反演的地表温度接近实测值,亮度温度和实际温度都与归一化植被指数(NDVI)存在着密切的反相关关系,表明植被在区域热量分布差异中起重要作用,显示出热红外图像与其它波段数据结合,在城市热岛效应及区域生态环境遥感研究方面有很大潜力。
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| 关 键 词： | 单窗算法 亮度温度 地表温度 热岛效应 |
| 文章编号： | 1001-070X(2003)04-0017-05 |
| 收稿时间： | 2003-06-05 |
| 修稿时间： | 2003年6月5日 |
A REMOTE SENSING STUDY OF THE URBAN THERMAL EFFECT ON ZHANGYE AND ITS SURROUNDING OASIS AREA |
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| Institution: | International Institute for Earth System Science, Nanjing University, Nanjing 210093, China |
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| Abstract: | Landsat TMdata have been widely utilized in resource and environment studies. Nevertheless, reports on researches combining thermal infrared band (TM6) with the other TMbands data for investigating various land surface processes remain limited in literature. In this paper, an algorithm was proposed and tested for a target area in Zhangye and its surrounding oasis areas. This study combines the TM6 for deriving planetary brightness temperature (PBT) and land surface temperature (LST) by using mono-window algorithm with the other TMbands data so as to provide several essential parameters required by the mono-window algorithm. In this algorithm, TM1-5 and 7 were atmospherically corrected by means of Gilabert's method to obtain several important parameters, and then PBTand LSTwere calculated by means of mono-window algorithm using TM6 band. The derived LSTcompared with the field observations of several principal land use/cover categories suggests good applicability of the algorithm. Spatial distribution of LSTand PBTwas analyzed with NDVIdistributions in the target area, and the strong negative correlations between LST, PBTand NDVIsuggest that vegetation is a key factor controlling the spatial pattern of land surface heat flux. All this implies a great potential of thermal and optical remote sensing for urban thermal effect and urbanization studies. |
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| Keywords: | Mono-window algorithm Brightness temperature Land surface temperature Urban heat island effect |
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