基于地表相对湿度数据反演地表温度研究

在地表温度反演中,大气透射率是一个关键参数。覃志豪的单窗算法依靠从探空数据中获得大气水分含量来计算大气透射率。因此在缺乏探空数据的情况下,对地表温度的反演就比较困难。目前解决这个问题的方法是利用地表相对湿度来估测大气水分含量。估算的大气水分含量是否能精确地反演地表温度的这类研究还比较少见,此研究利用冀蒙接壤区LandsatTM热红外波段数据和估算的大气水分含量,采用覃志豪的单窗算法反演冀蒙接壤区内的地表温度,并与地表实测数据进行了比较。研究结果表明,反演多伦的地表温度与实测数据相差6.29℃,反演的地表温度精度较高;研究区地表温度除了与NDVI指数相关外,还与土壤、人类活动关系密切。

Study of Land Surface Temperature Inversion Based on Data of Land Relative Humidity

Atmospheric transmission rate,which is estimated by atmosphere water vapor content of sounding data with Qin-mono-window algorithm,is key parameter in land surface temperature inversion.Thus,getting land surface temperature is difficult without content of atmosphere water vapor.So,presently,land relative humidity was used to estimate atmosphere water vapor content to solve this problem.However,it is few research about accuracy estimation of atmosphere water vapor content.In this paper,based on TM6 and estimation of atmosphere water vapor content,land surface temperature was inversed with Qin-mono-window algorithm,and compared with measured data of land surface temperature.The results show that: the land surface temperature inversion result is a bit higher than measured data about 6.92 ℃,the accuracy of former is higher;in contiguous of hebei-innermongolia,the relation among landsurface and soil,human activity is close.