摘要
基于被动微波辐射传输方程,结合DeJeu建立的透过率与微波极化差异指数的通用关系式,以及Smiths建立的地表温度与大气总可降水量的经验关系,构建了一套基于AMSR-E影像的地表温度半经验反演模型,该模型无需借助其他辅助数据,便可从AMSR-E6.9GHz和10.7GHz两个波段的亮度温度模拟得到地表温度变量。对2009年我国地表温度进行实例模拟和验证,结果显示,该地表温度模型的平均反演精度达到2.54℃(R2=0.79),是一种简单有效的被动微波遥感地表温度模拟方法。
This paper develops a semi-empirical model for retrieving land surface temperature （Ts ） using AMSR-E data based on the passive microwave radiative transfer equation, in combination with the relation between vegetation depth and MPDI, and that between precipitable water content and land surface temperature. With this model, Ts can be easily simulated from the brightness temperatures of AMSR-E 6.9GHz band and 10.7GHz band without any ancillary data. The Ts mapping and validation results of China in 2009 prove that the average Ts retrieval accuracy reaches about 2.51℃ （R2=0.79）. It can be considered that the model is a simple and also effective algorithm to retrieve Ts with passive microwave remote sensing data.
出处
《热带地理》
北大核心
2013年第3期250-255,共6页
Tropical Geography
基金
中国气象局/河南省农业气象保障与应用技术重点开放实验室开放研究基金课题(编号:AMF201111)
广东省科技计划项目(编号:2011B020313001)
关键词
被动微波遥感
AMSR-E
地表温度
半经验模型
亮度温度
Passive microwave remote sensing
AMSR-E
Land surface temperature
Semi-empirical model
Brightness Temperatures
