中文摘要：

从遥感大小获得空间地分布式的空气温度数据的能力是为集中于城市的热岛的许多环境应用的改进，碳排出物，气候变化，等等。这份报纸基于利用在上海学习城市的大气的热岛的效果的 MODIS/Terra 和水数据，中国。在检索 MODIS 陆地表面温度(LST ) 和在本地气象站测量的空气温度之间的关联开始在不同时间、空间的规模被学习。第二，有 250 m 和 1 km 的空间分辨率的空气温度数据从 MODIS LST 数据被估计并且在原处测量了空气温度。结果比在 1 km 分辨率观察证明在年度规模上在在春天和秋天的 250m 分辨率在空气温度和 MODIS LST 之间有稍微更高的关联。尽管热地在不同季节改变的空气温度的分发模式，在上海的城市的热岛(UHI ) 被多重中心的一个分发模式描绘，与是的中央城市的区域主要中心并且布满建筑物在每个区域的区域作为 subcenters。这研究为估计空气温度的分发表明潜力不仅从有在春天的 250 m 分辨率和在上海的秋天的 MODIS LST 的热地，而且为提供，为监视并且学习 UHI 的科学、有效的方法在象上海那样的一个中国大城市完成。

英文摘要：

The capability of obtaining spatially distrib- uted air temperature data from remote sensing measure- ments is an improvement for many environmental applications focused on urban heat island, carbon emis-sions, climate change, etc. This paper is based on the MODIS/Terra and Aqua data utilized to study the effect of the urban atmospheric heat island in Shanghai, China. The correlation between retrieved MODIS land surface tem- perature （LST） and air temperature measured at local weather stations was initially studied at different temporal and spatial scales. Secondly, the air temperature data with spatial resolutions of 250 m and 1 km were estimated from MODIS LST data and in-situ measured air temperature. The results showed that there is a slightly higher correlation between air temperature and MODIS LST at a 250 m resolution in spring and autumn on an annual scale than observed at a I km resolution. Although the distribution pattern of the air temperature thermal field varies in different seasons, the urban heat island （UHI） in Shanghai is characterized by a distribution pattern of multiple centers, with the central urban area as the primary center and the built-up regions in each district as the sub- centers. This study demonstrates the potential not only for estimating the distribution of the air temperature thermal field from MODIS LST with 250 m resolution in spring and autumn in Shanghai, but also for providing scientific and effective methods for monitoring and studying UHI effect in a Chinese mega-city such as Shanghai.