检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:刘岚[1] 李成范[1] 尹京苑[1] 赵俊娟[1]
机构地区:[1]上海大学计算机工程与科学学院,上海200444
出 处:《红外技术》2016年第1期53-58,共6页Infrared Technology
基 金:国家自然科学基金项目(41404024;41172303);上海市科技发展基金项目(14231202600);上海高校青年教师培养资助计划项目(2014-2016)
摘 要:利用1995~2012年的Landsat TM/ETM和MODIS热红外卫星数据,从时间、空间和城市热岛效应比率等方面对上海地区进行城市热环境进行了研究。结果表明,在时间序列上,一方面,上海地区地表亮温在季节上夏季最强,春季次之,秋冬季节较弱;另一方面,上海地区城市热环境主体逐渐从次中温区向中温区转化,城市地表亮温在总体上有升高的趋势。在空间分布上,在1995~2000年上海地区地表亮温格局主要是由中心城区决定,随着浦东、松江、闵行、嘉定等新城区的兴起,在2000年以后,逐渐形成以中心城区为主,多个中心建成区为辅的城市热环境分布格局。Landsat TM/ETM and MODIS thermal infrared satellite data during 1995-2012 were used to investigate Shanghai area's urban thermal environment from time, space and urban heat island effect ratio (UHIER) aspects. The results show that: in the time series, on the one hand, the land brightness temperature of Shanghai area is the strongest, followed by spring, and then autumn and winter. On the other hand, the main body of Shanghai area's urban thermal environment has transformed from secondary-medium temperature area to medium temperature area, and urban land brightness temperature has a trend of increasing in general. In the spatial distribution, urban land brightness temperature structure is mainly dominated by urban area in 1995-2000, and the landscape pattem of land brightness temperature that one center of urban area primarily and supplemented by the multicenter built-up area is gradually formed since the rapid development of built-up area of Pudong new district, Songjiang district, Minhang district, and Jiading district in 2000.
分 类 号:TN219[电子电信—物理电子学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.16.111.78