A Quantitative Analysis of the Relationship Between Vegetation Indices and Land Surface Temperature Based on Remote Sensing:a Case Study of TM Data for Beijing
MA Wei 1, ZHAO Zhen-mei 1, LIU Xiang 2, YAN Dong-chuan 1
1.Institute of Mineral Resources Research, China Metallurgical Geology Bureau, Beijing 100025, China; 2.Beijing Oriental TITAN Technology Co, Ltd, Beijing 100083, China
Through correcting the Landsat-5 TM image of atmospheric effects and employing the calculation method of mono-window algorithm,the LST in Beijing was calculated by inversion. On such a basis,five vegetation parameters were computed respectively, i.e., Normalized Difference Vegetation Index (NDVI),Ratio Vegetation Index (RVI),Greenness Vegetation Index (GVI),Modified Soil-Adjusted Vegetation Index (MSAVI) and vegetation fraction (fg). Combined with the spatial distribution of LST in Beijing,this paper compared and analyzed the relevance between LST and the five vegetation parameters. Quantitative analysis of vegetation effect on the Urban Heat Island (UHI) was also carried out. The results show that, of the five parameters of vegetation,fg has the strongest negative correlation with LST. The average urban LST is 1.6 K and 5.3 K higher than that of the suburban and outer suburban respectively.
马伟, 赵珍梅, 刘翔, 闫东川. 植被指数与地表温度定量关系遥感分析—以北京市TM数据为例[J]. 国土资源遥感, 2010, 22(4): 108-112.
MA Wei, ZHAO Zhen-Mei, LIU Xiang, YAN Dong-Chuan. A Quantitative Analysis of the Relationship Between Vegetation Indices and Land Surface Temperature Based on Remote Sensing:a Case Study of TM Data for Beijing. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(4): 108-112.
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