• 气候参数空间反馈 •

### U-TAE算法提取城市热岛信息的空间尺度分析

1. 1. 湖南师范大学GIS研究中心资源与环境科学学院,长沙 410081;
2. 南京大学国际地球系统科学研究所,南京 210093
• 收稿日期:2010-09-01 修回日期:2011-01-01 出版日期:2011-09-25 发布日期:2011-09-25
• 通讯作者: 杨波,E-mail: yb@hunnu.edu.cn
• 作者简介:刘宇鹏(1986-),男,硕士,研究方向为热红外遥感应用与系统开发。E-mail: alesenrobin@163.com
• 基金资助:

科技部中德国际科技合作重点项目(2007DFA90500);湖南省自然科学基金项目(10JJ3022)。

### Spatial Scale Analysis of the Methods Using U-TAE Algorithm to Extract the Information of Urban Heat Island

LIU Yupeng1, YANG Bo1, CHEN Chong2

1. 1. GIS Reasearch Center, College of Resources and Environmental Sciences, Hunan Normal University, Changsha 410081, China;
2. International Institute for Earth System Science, Nanjing University, Nanjing 210093, China
• Received:2010-09-01 Revised:2011-01-01 Online:2011-09-25 Published:2011-09-25

Abstract: U-TAE is an algorithm which uses moving windows of different areas to extract the information of UHI and sets each moving window's threshold according to robust estimation method. This algorithm distinguishes non-UHI area and UHI area according to the cumulative times in which pixels have thermal anomalies and determines the intensity of UHI according to the cumulative times with high or low values. It has dynamic threshold and unbiased characteristics. The U-TAE algorithm is used to evaluate its performance in six different scales: 5×5, 11×11, 25×25, 51×51, 101×101 and 201×201. The performance evaluation includes four aspects: area, intensity, space structure of UHI and stability of large-scale UHI. The results show that the best size of the moving window is 11×11. At this size the information of UHI is more complete and effective than at other sizes.