地表温度(LST)是研究区域地表能量平衡和资源环境变化的重要参数之一,它是地球系统科学中不可缺少的组成部分。城市热环境和植被覆盖状况相关性研究,对城市绿地规划和缓解城市热岛效应具有较好的指导意义。研究选择1993年8月25日株洲地区的陆地卫星TM影像,利用单窗算法对LandsatTM热红外波段反演地表温度获得较高的精度。通过提取归一化植被指数(NDVI),用统计方法对株洲市反演的温度和NDVI进行回归分析,得出温度与植被水平呈明显负相关,地表温度(LST)高的区域对应NDVI一般都较小,反之亦然。在此基础上运用城市热场变异指数对株洲地区城市热岛效应进行定量化分析,结果表明城市热场变异指数能够明显地反映出城市热岛现象。
Land Surface Temperature (LST) is one of the important parameters in the study of surface energy balance and regional resources changes, It is an indispensable component of the Earth System Science, the re- search of Relationship between Urban heat environment and vegetation coverage has great significance in guiding urban green space planning and mitigation of urban heat island effect. Landsat TM images was chosen in Zhuzhou on August 25,1993, and by calculating model of mono - window algorithm, the DN values of band 6 was converted to pixel temperature, which represents the distributing of land surface temperature (LST). It is shows that the result of Land surface temperature retrieval is satisfactory for validation. Regression analyses based on statistical methods were conducted to interpret the relationships between NDVI generated from fused image of bands 3&4. The models prove a significant inverse correlation between temperature and vegetation level. Urban thermal field variance index was Used to quantitatively descript the urban heat island effect in Zhuzhou. The results showed that the urban thermal field variance index can obviously reflect the urban heat island phenomenon.