Retrieving Infrared Land Surface Emissivity With AIRS Simulation Data

نویسندگان

  • Xuebao Wu
  • Jun LI
  • Yuanjing Zhu
  • Paul Menzel
  • Wenjian Zhang
چکیده

This report reviews briefly the characteristics of high spectral resolution satellite infrared remote sensing. The paper also describes the use of EOS-Aqua AIRS measurements to characterize the surface properties important for IR thermal emission. Infrared rapid transmittance model is used for the sensitivity study of surface parameters and the atmospheric parameters from lower troposphere. Six standard model atmospheres are utilized to generate the simulated AIRS radiances. An experiment is carried out to retrieve the land surface emissivity with the AIRS simulation data. The MLEV (Minimum Local Emissivity Variance) retrieval method is implemented for this simulation study.

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تاریخ انتشار 2004