摘要
文中以泰安市为研究区域,选取2018年5月Landsat 8 OLI/TIRS影像为数据源,采用最大似然分类法得到泰安市土地利用分类图,同时采用单窗算法反演地表温度得到地表温度图,从小尺度城市内部分析土地利用类型与地表温度之间的相互关系。得出土地利用类型与地表温度关系,可表示为:居民地及工矿用地>裸地>耕地>林地及草地>水体。居民地及工矿用地对地表温度的升高贡献最大,而水体和林地对地表降温有明显效果,能有效缓解热岛效应等城市气候问题,并为泰安市城市规划和未来建设提出合理建议。
In this paper,taking Taian City as the research area,selecting Landsat 8 OLI/TIRS image as data source in May 2018,and the maximum likelihood classification method was used to obtain the land use classification map of Taian City,and the surface temperature map was obtained by using the single-window algorithm to inversion the surface temperature map.The relationship between land use type and surface temperature could be expressed as:residential land and industrial and mining land>Naked>Cultivated land>Woodlands and grasslands>Water bodies.Residents and industrial and mining land had the greatest contribution to the rise of surface temperature,while water bodies and woodlands had the significant effect on surface cooling,which could effectively alleviate urban climate problems such as the heat island effect providing the reasonable suggestions for urban planning and future construction in Taian City.
作者
齐广慧
唐凯
赵传华
Qi Guanghui;Tang Kai;Zhao Chuanhua(College of Information Science and Engineering,Shandong Agriculture University,Taian 271018,China;College of Resources and Environment,Shandong Agricultural University,Taian 271018,China)
出处
《矿山测量》
2020年第1期1-5,11,共6页
Mine Surveying
基金
山东农业大学信息学院青年教师科研骨干培养计划项目(xxxy201705)。
关键词
最大似然法
地表温度
单窗算法
热岛效应
maximum likelihood method
surface temperature
single window algorithm
Hot Island Effect
