摘要
利用ERDAS及ArcGIS软件,通过影像预处理、影像解译,最终提取城区土地分类信息;由单窗算法,以大气辐射传输方程简化的单波段地表温度反演算法为基础,对武汉市2002年ETM+热红外遥感影像及相关气象资料进行地面亮温反演和不同土地利用类型的热效应定量评价研究。研究中采用了基于归一化差值植被指数和基于地表分类相结合的方法确定地表发射率;地温反演引入了热效应贡献度和区域热单元权重指数,对不同地表类型的热贡献度以及植被覆盖与地表温度的关系进行分析。
By using ERDAS and ArcGIS software,and with image pre-processing and interpretation,this research extracted urban land classification information.Using the algorithm based on mono-window algorithm,one scene thermal infrared remote sensing image ETM + of 2002and related meteorological data in Wuhan,this paper performed quantitative evaluations in the aspect of land brightness temperature inversion and thermal effects of different land use types.In the paper,a combination method which is based on a normalized difference vegetation index and land surface classification was used to determine surface emissivity;and the contribution of the thermal effects and the regional thermal unit weight index were introduced to land temperature inversion.The paper analyzed different surface types of thermal contribution as well as the relations between vegetation cover and surface temperature.
出处
《遥感信息》
CSCD
2013年第5期85-89,共5页
Remote Sensing Information
基金
国家自然科学基金项目(41274036)
中央高校基金中国地质大学优秀青年教师特色学科团队项目(CUG090110)
中央高校基本科研业务费专项资金优秀青年基金(CUGL130258)
关键词
ETM+
单窗算法
地温反演
ETM+
mono-window algorithm
land surface temperature retrieving