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中国沙漠 ›› 2017, Vol. 37 ›› Issue (3): 523-529.DOI: 10.7522/j.issn.1000-694X.2015.00270

• 天气与气候 • 上一篇    下一篇

基于FTIR和MODIS数据估算新疆沙漠宽波段地表比辐射率

李火青1,2, 吴新萍4, 买买提艾力·买买提依明5, 霍文5, 杨兴华5, 杨帆5, 何清5, 刘永强1,2,3   

  1. 1. 新疆大学 资源与环境科学学院, 新疆 乌鲁木齐 830046;
    2. 新疆大学 智慧城市与环境建模重点实验室, 新疆 乌鲁木齐 830046;
    3. 绿洲生态教育部重点实验室, 新疆 乌鲁木齐 830046;
    4. 且末县塔中气象站, 新疆 且末 841900;
    5. 中国气象局乌鲁木齐沙漠气象研究所, 新疆 乌鲁木齐 830002
  • 收稿日期:2015-09-06 修回日期:2015-11-30 出版日期:2017-05-20 发布日期:2017-05-20
  • 通讯作者: 刘永强(E-mail:lyqxju@163.com)
  • 作者简介:李火青(1990-)男,湖北十堰人,硕士研究生,研究方向为陆面过程参数化与模拟。E-mail:Atomlhq@163.com
  • 基金资助:
    国家自然科学基金项目(41265002,41175140);国家公益性行业(气象)科研专项(GYHY201306066)

Estimating the Surface Broadband Emissivity of Deserts in Xinjiangbase on MODIS and FTIR Data

Li Huoqing1,2, Wu Xinping4, Ali Mamtimin5, Huo Wen5, Yang Xinghua5, Yang Fan5, He Qing5, Liu Yongqiang1,2,3   

  1. 1. College of Resources and Environmental Sciences, Xinjiang University, Urumqi 830046, China;
    2. Key Laboratory of City Intellectualizing and Environment Modeling, Xinjiang University, Urumqi 830046, China;
    3. Ministry of Education Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China;
    4. Tazhong Weather Station of Qarqan, Qarqan 841900, Xinjiang, China;
    5. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
  • Received:2015-09-06 Revised:2015-11-30 Online:2017-05-20 Published:2017-05-20

摘要: 基于FTIR和MODIS数据,建立了新疆沙漠宽波段(8~13.5 μm)地表比辐射率的最优估算模型。首先,利用傅立叶变换热红外光谱仪观测的塔克拉玛干沙漠地表比辐射率光谱数据,结合同期MODIS温度/比辐射率产品MOD11A1的29、31和32波段比辐射率值和MOD09A1的第7波段反射率值,建立宽波段地表比辐射率估算模型,并分别采用观测数据和光谱库数据验证了模型的精度,估算结果的均方根误差分别为0.0041和0.0081。其次,选择最优估算模型,利用MODIS数据,估算了新疆4个沙漠的宽波段地表比辐射率,得到了沙漠地表比辐射率的空间分布特征。结果表明:塔克拉玛干沙漠和库鲁克库姆沙漠气候干燥稳定,地表比辐射率分布较为均匀,范围为0.850~0.915;古尔班通古特沙漠受到植被和地表水分的影响,比辐射率空间分布不均匀,范围为0.890~0.915;库木塔格沙漠的地表比辐射率分布与其羽状地表类似,范围为0.860~0.910。

关键词: 宽波段比辐射率, MODIS, FTIR, 光谱库, 沙漠, 新疆

Abstract: We proposed an optimal model to estimate the surface broadband emissivity of deserts in Xinjiang for the spectral domains 8-13.5 μm by the FTIR and MODIS data. Firstly, using the broadband emissivity spectral data measured by Fourier Transform Infrared spectrometer (FTIR) over Taklimakan Desert, and the MODIS data during same period in three thermal infrared channels 29 (8.4-8.7 μm), 31 (10.78-11.28 μm) and 32 (11.77-12.27 μm) and one near-infrared channel 7 (2.105-2.155 μm), an empirical regression equation to convert these spectral emissivity and reflectance to broadband emissivity was developed. The accuracy of the equation was verified by the observed FTIR data and the MODIS spectral library data, and the root mean square errors (RMSE) were 0.0041 and 0.0081, respectively. Secondly, the optimal equation was applied to build a distribution map of emissivity of four deserts in Xinjiang based on MODIS data. The emissivity in the Taklimakan Desert and Culukekum Desert is in the range of 0.850-0.915. Because there is dry and stable climate, the broadband emissivity is fairly well-distributed in the deserts. The emissivity in the Gurbantonggut Desert is in the range of 0.890-0.915. Because the land surface is influenced by vegetation and surface water, so its emissivity spatial distribution is not uniform. The emissivity in the Kumtagh Desert is in the range of 0.860-0.910, and its distribution is similar to its plume surface.

Key words: broadband emissivity, MODIS, FTIR, spectral library, desert, Xinjiang

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