• DocumentCode
    56071
  • Title

    Analysis of the Proportion of Surface Reflected Radiance in Mid-Infrared Absorption Bands

  • Author

    Bing Zhang ; Yao Liu ; Wenjuan Zhang ; Lianru Gao ; Jun Li ; Jun Wang ; Xia Li

  • Author_Institution
    Key Lab. of Digital Earth Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
  • Volume
    7
  • Issue
    6
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    2639
  • Lastpage
    2646
  • Abstract
    Image simulation of remote sensing systems is important for the development of new instruments and validations of data processing algorithms. In image simulation process, surface scene simulation is a fundamental issue and usually has the first priority. For two mid-infrared absorption bands near 2.7 μm and 4.3 μm, although there are a lot of applications in remote sensing field, relevant research on surface scene simulation is very limited. In these two mid-infrared ranges, surface radiance is a combination of reflected and emitted radiance. However, the radiance is generally reduced because of strong absorption by atmosphere. Therefore, analysis of surface reflected radiance is essential for simulation work. In this paper, we use a radiative transfer model MODTRAN to simulate proportions of surface reflected radiance for common ground materials under various observation conditions. The obtained results show that proportions of studied materials are 0.8%-99.8% in the band of 2.63-2.83 μm and 1.1%-94.8% in the band of 4.2-4.5 μm. The proportions of surface reflected radiance in both absorption bands are affected by surface reflectivity. In addition, in the band of 2.7 μm the proportion of surface reflected radiance is sensitive to solar geometry, water vapor content and surface temperature, whereas it is insensitive in the band of 4.3 μm. Based on these results, we conduct that both reflection and emission are important for surface scene simulations in the 2.7 μm and 4.3 μm absorption bands.
  • Keywords
    geophysical techniques; remote sensing; MODTRAN radiative transfer model; data processing algorithms; mid-infrared absorption bands; remote sensing image simulation; remote sensing systems; surface reflected radiance; surface scene simulation; surface temperature; water vapor content; Absorption; Atmospheric modeling; Materials; Ocean temperature; Remote sensing; Sea surface; Mid-infrared absorption; image simulation; surface reflected radiance;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2013.2272633
  • Filename
    6566197