| 基于Landsat-5 TM数据的河南省白沙灌区地表温度反演研究 |
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| 引用本文： | 张成才,陈东河,董洪涛.基于Landsat-5 TM数据的河南省白沙灌区地表温度反演研究[J].遥感技术与应用,2013,28(6):964-968. |
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| 作者姓名： | 张成才 陈东河 董洪涛 |
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| 作者单位： | (1.郑州大学水利与环境学院,河南 郑州 450001;2.河南省白沙水库管理局,河南 禹州 461670) |
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| 基金项目： | 河南省创新人才计划项目(10410050003),河南省水利厅科研计划项目“基于遥感技术的白沙灌区土壤墒情监测研究”(GG200912)。 |
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| 摘 要： | 地表温度是土壤水分和植被水分状态的指示计,在干旱遥感监测中有重要作用。应用Landsat-5 TM遥感数据和气象资料,利用归一化植被指数(NDVI)区分地表覆盖类型,采用Van de Griend的经验公式法结合典型地表赋值法计算出地表比辐射率。用单窗算法和单通道算法分别对河南省白沙灌区地表温度进行反演,结果表明:两种方法均能较好地将白沙灌区地表温度分布趋势反映出来,单窗算法的反演精度较高,绝对误差为1.1 ℃,更适宜白沙灌区的地表温度反演,进而可以提高灌区旱情遥感监测精度。
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| 关 键 词： | Landsat TM 白沙灌区 地表温度反演 |
Land Surface Temperature Retrieval based on Landsat-5 TM Data in Baisha Irrigation of Henan province |
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| Zhang Chengcai,Chen Donghe,Dong Hongtao.Land Surface Temperature Retrieval based on Landsat-5 TM Data in Baisha Irrigation of Henan province[J].Remote Sensing Technology and Application,2013,28(6):964-968. |
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| Authors: | Zhang Chengcai Chen Donghe Dong Hongtao |
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| Affiliation: | (1.College of Water Conservancy & Environmental Engineering of Zhengzhou University,Zhengzhou 450001,China;;
2.Henan Baisha Reservoir Administrative Bureau,Yuzhou 461670,China) |
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| Abstract: | Land Surface Temperature(LST) is the indicator of soil moisture and vegetation water status.Using Landsat TM data and meteorological data the land surface temperature of Baisha irrigation was retrieved by mono-window algorithm and single channel algorithm.Normalized Difference Vegetation Index(NDVI) to distinguish between land cover types and calculated the surface emissivity using Van de Griend’s empirical formula and typical surface assignment method.The results show that both the two methods could reflect the land surface temperature distribution trend of Baisha irrigation,and mono-window algorithm gets a higher precision result,the absolute error is 1.1 ℃,it is more suitable for the retrieval of Baisha irrigation land surface temperature,which can improve the accuracy of drought remote sensing monitoring in the Baisha irrigation area. |
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| Keywords: | Landsat TM Baisha irrigation Land surface temperature retrieval |
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