Abstract

In this paper, the Taklimakan Desert land surface emissivity measured by portable Fourier Transform thermal InfraRed spectroscopy (FTIR) was used to re-estimate Global LAnd Surface Satellite (GLASS) BroadBand Emissivity (BBE) and Moderate Resolution Imaging Spectroradiometer (MODIS) BBE optimal coefficients equations. In addition, the revised BBE equations of both GLASS and MODIS with the optimized coefficients were obtained. Comparing the FTIR and MODIS BBE data with the values retrieved before and after the revised GLASS BBE equation, it was found that the revised GLASS BBE equation is more accurate than the original one. First, according to the error analysis with FTIR data, the value of R2 is increased from 0.4 to 0.9, and the Root Mean Square Error (RMSE) and Bias are reduced by 1 and 3 magnitude orders, respectively. Second, with MODIS BBE data, the value of R2 is increased from 0.6 to 0.9, the RMSE and Bias are reduced by 1 and 2 magnitude orders, respectively. Finally, the Taklimakan Desert BBE was calculated using the revised GLASS BBE equation. The results showed that the BBE values are between 0.890 and 0.920 in the desert center, between 0.920 and 0.950 in the sparse vegetation areas, and between 0.950 and 0.980 in the oasis edges.

Highlights

  • The land surface broadband emissivity (BBE) is a key variable for estimating land surface longwave net radiation, which is a surface radiation budget component and an important parameter in climate, weather, and hydrological models[1,2,3,4,5,6]

  • It can be shown that The fitting result of the Moderate Resolution Imaging Spectroradiometer (MODIS) BroadBand Emissivity (BBE) estimation equation obtained by using Fourier Transform thermal InfraRed spectroscopy (FTIR) data is better than the original, and R2 reaches 0.95

  • The value of MODIS fitted by Eq (1) can be used to verify Global LAnd Surface Satellite (GLASS) BBE

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Summary

Introduction

The land surface broadband emissivity (BBE) is a key variable for estimating land surface longwave net radiation, which is a surface radiation budget component and an important parameter in climate, weather, and hydrological models[1,2,3,4,5,6]. It is the most effective and accurate method to calculate the emissivity based on the obtained spectral data of the broadband surface emissivity. They estimated the broadband land surface emissivity in the Sahara Desert and a cross-check was conducted

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