| 基于Landsat-8 TIRS的大气参数快速估算方法 |
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| 引用本文： | 高文升,张雨泽,房世峰,杨锋杰,吴骅.基于Landsat-8 TIRS的大气参数快速估算方法[J].地球信息科学,2017,19(1):110-116. |
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| 作者姓名： | 高文升 张雨泽 房世峰 杨锋杰 吴骅 |
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| 作者单位： | 1. 山东科技大学,青岛 2665902. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 1001013. 中国科学院大学,北京 100049 |
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| 基金项目： | 国家自然科学基金面上项目（41471297、41571352）;国家自然科学基金重点项目（41231170） |
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| 摘 要： | Landsat-8卫星设计有2个热红外波段,但由于第11波段存在定标问题,无法用于定量研究,所以基于Landsat-8的地表温度反演算法目前仍以单通道为主。单通道算法反演地表温度需先已知地表比辐射率并完成大气校正的工作。在大气校正方面,现有的算法主要以传统方法为主,即通过大气辐射传输模型或经验-半经验公式的方式获取大气参数。但是,传统的经验-半经验的方法并不建立在物理机制上,其自身存在一定局限性;而大气辐射传输模型的方法虽然精度更高,但执行效率较低,不适用于业务化的产品生产。本文针对现有大气估算方法的不足,提出了一种基于Landsat-8单通道地表温度反演的大气参数快速估算方法。在水汽范围0~6 g/cm2内,大气参数快速估算方法的精度与MODTRAN精度相当,大气透过率RMSE为0.003;大气上行辐亮度RMSE为0.0004;大气下行辐亮度RMSE为0.0004。相较于传统的大气参数估算方法,本文提出的大气参数快速估算方法,不仅可以脱离大气辐射传输模型使用,而且具有与其相当的估算精度,执行效率更高,适用性更广。
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| 关 键 词： | 大气参数 热红外遥感 地表温度反演 Landsat-8 TIRS |
| 收稿时间： | 2016-04-05 |
A Fast Estimation Method of Atmospheric Parameters for Landsat-8 TIRS Data |
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| GAO Wensheng,ZHANG Yuze,FANG Shifeng,YANG Fengjie,WU Hua.A Fast Estimation Method of Atmospheric Parameters for Landsat-8 TIRS Data[J].Geo-information Science,2017,19(1):110-116. |
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| Authors: | GAO Wensheng ZHANG Yuze FANG Shifeng YANG Fengjie WU Hua |
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| Institution: | 1. Shandong University of Science and Technology, Qingdao 266590, China2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China3. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | Landsat-8 satellite was designed to have two thermal infrared bands, TIRS band 10 and band 11. But USGS (United States Geological Survey) pointed out that some calibration errors would be found with the band 11. It is recommended to use only the TIRS band 10 in quantitative research rather than using two channels. When using a single channel algorithm in retrieving land surface temperature (LST), we must priorly have the surface emissivity and have the atmospheric correction processed. The traditional methods used in the atmospheric correction depend on the empirical relationships or atmospheric radiative transfer model. However, both of the two methods have deficiencies, for example, as the empirical method depends highly on the training data, it is incapable under certain conditions. On the other hand, the method that based on the atmospheric radiative transfer model has to run the designated codes each time, which is not an appropriate choice for producing LST. In this paper, we propose a new atmospheric correction model applied to the single channel method with Landsat-8 TIRS band 10 data. The results show that the RMSE (Root Mean Squared Error) of the total transmission is 0.003, the RMSE of the upwelling radiance is 0.0004 and the RMSE of the downwelling radiance is 0.0004. Compare with the traditional methods, the proposed model bases on the physical mechanism of atmospheric radiative transfer model and has a higher accuracy. Moreover, the proposed model could also be used without the help of any atmospheric radiative transfer model. That is, this model will have a better prospect of application. |
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| Keywords: | atmospheric parameters thermal infrared land surface temperature Landsat-8TIRS |
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