西南林业大学学报2016，Vol.36Issue(5)：130-137,8.DOI:10.11929/j.issn.2095-1914.2016.05.022
昆明中心城区地表温度反演及与土地覆盖关系分析
The Retrieval of Land Surface Temperature of Kunming Urban Area and its Relationships with Landscape Compositions
摘要
Abstract
Taking the average water content of atmosphere derived from MODIS 3 bands as a parameter, the split-window algorithm was employed on Landsat 8 to retrieve the land surface temperature ( LST) of the central ur-ban area of Kunming City. Then, the landscape compositions were identified by objected-based hierarchical classifi-cation. After selecting controllable-features of landscape composition, stepwise regression fitting was applied to ana-lyze the relationship between LST and these features. The research showed the central parts of Kunming tend to have either high LST or low LST, and the major reason for numerous urban heat islands of Kunming is due to the uneven distribution of vegetation coverage and the high percentage of impervious surface and roads. Regression models indi-cated that the coverage percentage of vegetation, the shape index of vegetation patches, the size of pool, the length of river and the green rate in impervious surface have negative correlations with LST, while the size and perimeter of impervious surface have positive correlations with LST. It was concluded that there are some weak correlations be-tween LST and some features of landscape compositions. Therefore, further research will be meaningful for the con-trol of city thermal environment and the city planning.关键词
Landsat 8/劈窗算法/地表温度/土地覆盖类型/特征Key words
Landsat 8/Split-window algorithm/land surface temperature/land cover type/feature分类
农业科技引用本文复制引用
章皖秋,袁华,岳彩荣,钮子鹏..昆明中心城区地表温度反演及与土地覆盖关系分析[J].西南林业大学学报,2016,36(5):130-137,8.基金项目
云南省教育厅基金一般项目(2014Y333)资助；国家自然科学基金项目(31260156)资助；西南林业大学云南省省级重点学科(林学)资助。 （2014Y333）
