基于劈窗算法的重庆市地表温度反演及其应用研究  

Research on Surface Temperature Inversion and its Application in Chongqing Based on Split Window Algorithm

作　　者：王涛 宋苗 侯秋月 WANG Tao;SONG Miao;HOU Qiuyue(College of Water Conservancy and Hydropower Engineering,Gansu Agricultural University,Lanzhou 730070,China)

机构地区：[1]甘肃农业大学水利水电工程学院,甘肃兰州730070

出　　处：《现代信息科技》2024年第15期93-98,共6页Modern Information Technology

基　　金：甘肃教育厅高等学校创新基金项目(2022A-061);甘肃农业大学学生科研训练计划项目(202307031);甘肃省大学生创新训练项目(202410733001)。

摘　　要：为探究重庆市地表温度的反演,采用MODIS数据结合劈窗算法进行研究,通过对地理特征、城市布局和气候状况进行分析,揭示了重庆市独特的热环境表现。研究结果表明:重庆市城区六月温度整体呈现西北高温、东南低温的趋势,以中心城区为起点辐射分布;地表温度空间分布格局与建筑指数呈正相关,而与归一化植被指数呈负相关;地形落差成为周遭环境温度的主控因素。In order to explore the inversion of surface temperature in Chongqing,this paper uses MODIS data and combines with split window algorithm to research.It reveals the unique thermal environment performance of Chongqing by analyzing geographical features,urban layout,and climate conditions.The research results indicate that the overall temperature in the urban area of Chongqing in June shows the trend of high temperature in the northwest and low temperature in the southeast,radiating from the central urban area.The spatial distribution pattern of surface temperature is positively correlated with its building index,while negatively correlated with the normalized vegetation index.The terrain drop is the main controlling factor affecting the surrounding environmental temperature.

关 键 词：地表温度反演 MODIS KALMAN滤波器 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]