大气科学学报2012，Vol.35Issue(2)：140-147,8.
减化比值植被指数在城市热环境研究中的应用
Application of reduced simple ratio in urban thermal environment research
摘要
Abstract
Based on the ETM＋image,the land surface temperature（LST）,reduced simple ratio（RSR） and normalized difference vegetation index（NDVI） of Nanjing are retrieved after effective atmospheric correction by ATCOR2 nested in ERDAS IMAGINE 9.1.In comparison of ETM＋LST with ASTER LST and observed values,it shows that good consistency exists both at single station and in spatial distribution.Regression and contrastive analysis are conducted for explaining relationships between LST and the two vegetation indexes.Results show that the LST associating with thick vegetation is much lower than that with sparse vegetation or bare lands,when water bodies are without consideration.Fitting models prove a significant negative linear correlation between LST and NDVI,while LST and RSR are more obviously correlated with power function.When RSR is below 3.2,LST decreases rapidly with the vegetation coverage increasing.However,it tends to be unchangeable when RSR exceeds 3.2.Cooling effect of vegetation is at ＂saturation＂,and only RSR can reveal the interesting phenomenon.Compared to the ratio vegetation index（RVI）,the linear ratio of near infrared and red is suggested as the main reason for different behavior of the two vegetation indexes applied in urban thermal environment.Other factors may include better sensitivity to moisture and canopy closure information detected by near infrared.Urban thermal environment research in six cities of China demonstrates that cooling effect of vegetation is limited by underlying surface patterns.Compared to NDVI,RSR is not only better for indicating the relationship between LST and vegetation coverage,but more effective for indicating thermal environment on city scale.关键词
减化比值植被指数/归一化植被指数/城市热环境/地表温度Key words
reduced simple ratio/normalized difference vegetation index/urban thermal environment/land surface temperature分类
天文与地球科学引用本文复制引用
王伟,申双和,赵小艳,杨沈斌..减化比值植被指数在城市热环境研究中的应用[J].大气科学学报,2012,35(2):140-147,8.基金项目
科技部公益性行业（气象）科研专项（GYHY（QX）200906023） （）
中国气象局气候变化专项 （）
江苏高校优势学科建设工程资助项目（PAPD）致谢：加拿大多伦多大学陈镜明院士提供RSR有关文献信息,江苏省农业科学院农业资源与环境研究所农业遥感项目组提供ETM＋影像,南京师范大学地理科学学院提供影像大气校正方法,审稿专家提出了宝贵意见,谨致谢忱. （）
