摘要
绿色空间格局和热环境是与城市居民活动息息相关的重要元素,绿色空间格局通过植被覆盖的程度和形态影响城市宜居环境,而热环境则以地表温度的形式表现出来。本文利用Landsat 8 OLI_TIRS卫星遥感影像资料,通过反演法得到长沙市核心城区植被覆盖情况和地表温度数据,初步分析了长沙市植被覆盖度和地表温度的空间分布特征:长沙河东地区主要为密集的建筑用地,植被覆盖度显著低于多山多水的河西地区;地表温度河西显著低于河东,临水区域温度是低温中心区,而地表温度最高值却位于研究区域最东——芙蓉区东部。同时植被覆盖度与地表温度之间的显著性系数为0.00、相关性R值0.167,呈极显著负相关,可见城市的宜居温度与植被覆盖度之间关系密切,为建设更加优化的城市环境提供了数据支撑和理论依据。
Green space and thermal environment are vital elements related to the activities of urban residents.Green space affects the urban livable environment by the extent and form of vegetation coverage,while the thermal environment is greatly expressed by the land surface temperature(LST).Using Landsat 8 OLI_TIRS satellite remote sensing images as the data input,in this work,we obtained the vegetation cover condition and LST data of the central urban area in Changsha by using the inversion method.Out preliminary results from the special distribution characteristics analysis between vegetation coverage and LST in Changsha show that the vegetation coverage in eastern Changsha region occupied with dense man-made buildings is remarkably lower than that in the western region covered by a great deal of hills and water body.We also found that the LST of the western Changsha region is significantly lower than that in the east.The regions close to water are the center of low temperature.The maximum of LST,however,is located in the east border of our studied area-the east Furong District.Meanwhile,the significance coefficient of 0.00 and the correlation coefficient of 0.167 between vegetation coverage and LST indicate that these two elements are significantly correlated.Our present study demonstrates that vegetation coverage is strongly correlated with urban livable temperature,and this work could provide convincing data support and theoretical basis for the construction of better city environments.
作者
莫慧
肖通
赵悦
朱秋语
李子贻
李月琦
杨文
周亮
MO Hui;XIAO Tong;ZHAO Yue;ZHU Qiu-yu;LI Zi-yi;LI Yue-qi;YANG Wen;ZHOU Liang(College of Resources and Environmental Sciences,Hunan Normal University,Changsha,410081;Hunan Key Laboratory of Geospatial Big Data Mining and Application,Hunan Normal University,Changsha,410081;College of Urban and Environmental Science,Central China Normal University,Wuhan,430079)
出处
《湖南师范大学自然科学学报》
CAS
北大核心
2019年第6期18-22,共5页
Journal of Natural Science of Hunan Normal University
基金
资源环境湖南省创新创业教育中心资助项目(201813)
湖南省自然科学基金资助项目(2019JJ40188)
湖南省教育厅重点项目(16A129)
湖南省教育厅优秀青年项目(18B029)
关键词
绿色空间
地表温度
长沙市
相关性
green space
land surface temperature
Changsha
correlation
