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

doi:10.14088/j.cnki.issn0439-8114.2021.24.044

Abstract

Abstract: 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 8~14 μm thermal infrared atmospheric window was used. after cold and hot blackbody correction and the diffuse reflection gold board, we calculated emissivity 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 desert）, In arid region, the dataset can provide good verification data for retrieving LSE and LST from satellite data and support for the application of the bare soil in the land surface process.

Key words: Taklimaka desert, land surface emissivity, land surface temperature, FTIR, dataset

CLC Number:

P404

LIU Kai-lu, WANG Yuan-hong, Ali Mamtimin, YANG Fan, LIU Yong-qiang. Land surface emissivity dataset of desert underlying surface in arid area based on FTIR measurement[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(24): 197-202.

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