中文摘要：

在ENVI和GIS支持下,提出了基于Landsat 8遥感影像的地温反演劈窗算法,提取兰州市中心城区地表温度。利用FNEA和混合光谱分解法确定了兰州市中心城区的城市热岛中心、不透水面和植被盖度,分析了城市热岛空间分布格局以及地表温度与下垫面之间的关系。结果显示：基于Landsat 8数据地温反演的劈窗算法是可行的。兰州中心城区的高温区分布较集中,地表温度与植被呈较强的负相关,与不透水面呈不显著的正相关,与其他非光合物质呈正相关。

英文摘要：

As the rapid urbanization in recent years,it has resulted in serious environmental problems such as urban heat island,air pollution,ecological imbalance and so on. It is of great theoretical and practical significance to study the evolution and influencing factors of urban thermal environment for alleviating the ecological and environmental problems. In recent fifty years,urbanization of Lanzhou City,Gansu Province,China is in a accelerating period. Compared to the plain city,Lanzhou＇s artificial and natural factors bring about the prominent and particular heat island effects. So it is necessary to probe the temporal-spatial characteristics and formation mechanisms of ther- mal environment in Lanzhou. The eighth generation of Landsat series,Landsat Data Continuity Mission（LDCM）sat- ellite,was launched in February 2013 with two sensor payloads,an Operational Land Imager（OLI）,and a Thermal Infrared Sensor（TIRS）.One of the biggest advantages of Landsat 8 is the separate TIRS thermal infrared sensor,the thermal infrared spectrum has split in two,set up two thermal infrared bands,which makes the split window algorithm can be used for atmospheric correction and surface temperature inversion of higher precision. Accordingly,with the aim at the trait of Landsat8 data,this paper explored the split-window algorithm suitable for Landsat8 data,especially for the wave feature of Landsat8. This paper selected its inversion parameters and raised the inversion method for earth surface＇s real temperature based on Landsat8,with Lanzhou＇s central area as an example to extract earth surface＇s real temperature and to obtain the distribution pattern of the thermal field on the support of ENVI and GIS. By utilizing the Fractal Net Evolution Approach（FNEA）segmentation element of thermal field,Gi index of spa- tial clustering to extract heat island center and scope,Spectral Mixture Analysis to extract the vegetation coverage and impervious surface information,the paper explored the relative relationship between th