基于FTIR野外实测的沙漠下垫面地表发射率数据集

Land surface emissivity dataset of desert underlying surface in arid area based on FTIR measurement

地表发射率是陆面过程模型模拟长波辐射和地表温度的重要参数。为解决现有地表发射率在干旱区沙漠下垫面实测数据较少的问题,利用变换热红外光谱仪FTIR观测波长8~14μm的热红外大气窗口的地表辐射光谱,再经冷热黑体和漫反射金板校正后,计算该波长范围的地表发射率光谱,将地表发射率光谱区间离散化后积分获得地表发射率值,从而建立地表发射率数据集。结果表明,该数据集中10个观测点南北贯穿塔克拉玛干沙漠且分布均匀(沙漠周边的过渡带和绿洲与沙漠腹地均有分布),该数据集可为卫星遥感资料反演干旱区地表发射率和地表温度,为探究陆面过程参数化方案在干旱区适用性等方向提供良好的数据支撑。

Land Surface Emissivity(LSE)is the most important parameter in Land Surface Models to simulate the long wave radiation and Land Surface Temperature(LST).In order to solve the problem of lack measured data on the underlying surface of desert.Fourier transform thermal infrared spectrometer(FTIR)to observe the surface radiation spectrum of the wavelength in 8~14μm thermal infra⁃red atmospheric window was used.after cold and hot blackbody correction and the diffuse reflection gold board,we calculated emissivi⁃ty spectrum of the wavelength range,by Using discretization algorithm to convert the surface emissivity spectral data into the surface emissivity values to establish the land surface emissivity dataset.Results showed that the 10 Observation points are evenly distributed across the Taklimakan desert(The distribution of observation points along oasis and oasis-desert Ecotone and central Taklimakan des⁃ert),In arid region,the dataset can provide good verification data for retrieving LSE and LST from satellite data and support for the ap⁃plication of the bare soil in the land surface process.