摘要陆地表面温度（LST）是考察地表与观测地表能量是否平衡的一个至关重要 的参数，地表温度释放至大气，大气又对地表具有类似于保温的作用。由此可见 LST 在大气与地表间热量交互中起着重要的指示作用。热红外遥感技术的特点在 于,它可以在较短的时间内，大范围的获取地表温度，以及其温度场的空间分布 信息。对比传统的观测方法，它具有更加快捷，观测范围广和信息连续性强等优 点。在阅读和对比当前常用的地表温度反演方法后，本文以江苏省邳州市地区为 研究对象并收集了该地区 2005 年和 2010 年两年的 Landsat-5 数据的热红外数据（第六波段，波长 0.4-12.5μm）对邳州地区的地表温度夏季分布规律进行了研 究，并结合利用覃志豪等人提出的单窗算法反演 LST，得到邳州市地表温度分布 图，并据此分析了邳州地区，地面温度分布模式及相应的城市热岛效应。且探讨 了城市热岛效应与植被覆盖度之间的关系，以期为邳州市城市规划和建设旅游城 市等工作提供参考意义。73819

毕业论文关键词：热红外遥感  地表温度反演  城市热岛效应  单窗算法  邳州

Research of Pizhou City Land Surface Temperature Retrieval and Its spatial characteristics analysis Based on Remote Sensing Images

Abstract Land surface temperature (LST) is one of the most important parameters to investigate the land surface and observation whether it’s energy is balance, The land surface released it’s heat energy to the atmosphere. Conversely, atmosphere can keep the warm for the land surface. Thus we can found LST plays an important instruction function in the heat exchange between atmosphere and land surface. The spatial distribution information and land surface temperature can be obtained by using thermal infrared remote sensing. Also it can achieve surface temperature and temperature field of large scale in a short time.Compared to  the traditional observation method it is more rapid, convenient and achieve large observation range and continuous information etc., After reading and comparing the current commonly used land surface temperature retrieval method, this paper takes Pizhou(a city in Jiangsu province) area as the object of study and get it’s TM6 data from Landsat-5 data set collected in this area in 2005 and 2010year (the sixth wavelength band, 0.4-12.5μm). In this paper, urban land surface temperatures (LST)were retrieved by single-window algorithm which was put forward by Qin Zhi-hao based on the 6th band (thermal infrared band) of Landsat TM remote sensing images in Pizhou. This paper analysis the land surface temperature distribution model and urban heat island effect of the ground in Pizhou area, and explored the relationship between urban heat island effect and the city land vegetation index in order to provide reference for city planning and traveling city construction.

Key  Words:  thermal  infrared  remote  sensing single-window  algorithm land surface temperature retrieve urban heat island effect pizhou

目 录

摘要Ⅰ

Abstract-Ⅱ

目录Ⅲ

1.引言 1

1.1 国内外研究进展 1

1.2 研究内容及技术路线 3

2.研究区与数据源 4

2.1 研究区概况 4

2.2 数据来源与数据预处理 5

3.地表温度的相关基本概念