摘要
以南宁市城区为研究区域,利用Landsat-8遥感影像作为数据源,采用反演精度较高的单窗算法对研究区进行了地表温度反演,以及运用支持向量机算法(SVM)对其进行了土地利用类型的分类,最后通过叠置分析,定量分析了城区土地利用类型与地表温度的关系。结果表明:南宁市城区的热岛效应明显;南宁市城区土地利用类型对地表温度的贡献关系为:建设用地与裸地对地表温度的升高贡献相对较大,其次是草地、耕地,而林地和水体对地表温度有明显降温作用,因而在城区适当增加绿化和建造人工湖泊等水体景观是缓解城市热岛效应的重要举措。
This study takes Nanning city as the research area.Landsat-8 remote sensing image is used as the data source and the single-window algorithm with higher inversion accuracy is used to invert the land surface temperature in the study area.The Support Vector Machine algorithm(SVM)is used to classify the land use type.Finally,the relationship between urban land use type and land surface temperature is quantitatively analyzed by superposition analysis.The analysis shows that the heat island effect is obvious in the urban area of Nanning City.The contribution of urban land use types to LST in Nanning City is as follows:construction land and bare land contribute more to the rise of LST,followed by grassland and arable land,while forest land and water have significant cooling effects on LST.Therefore,increasing greening,building artificial lakes and other water landscape in urban areas are important measures to alleviate the urban heat island effects.
作者
黄永霖
许贵林
Huang Yonglin;Xu Guilin(Nanning Normal University,Nanning,Guangxi 530001,China)
出处
《绿色科技》
2021年第14期223-228,共6页
Journal of Green Science and Technology
基金
广西科技重大专项(编号:桂科AA18118025)。
关键词
地表温度
单窗算法
南宁市
land surface temperature
single-window algorithm
Nanning city