• DocumentCode
    576609
  • Title

    An improved method for the retrieval of surface reflectance from EOS/MODIS data

  • Author

    Guang, Jie ; Xue, Yong ; Yang, Leiku ; Li, Yingjie

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5053
  • Lastpage
    5056
  • Abstract
    Surface reflectance retrieval is an important step in the data processing chain for the extraction of quantitative information in many applications areas. The aim of this paper is to develop a new method for retrieving surface reflectance and aerosol optical depth simultaneously over both dark vegetated surfaces and bright land surfaces. After applying this new model to the Moderate Resolution Imaging Spectroradiometer (MODIS) data in the Heihe River Basin of China, aerosol optical depth and surface reflectance values of these regions are calculated. The retrieved surface reflectance from MODIS is consistent with measured reflectance from Analytical Spectral Device (ASD) Field Spec spectral radiometer, and the root mean square error (RMSE) are; Band 1 (0.66μm): 0.027; Band 3 (0.47μm): 0.015; Band 4 (0.55μm): 0.017. The R-squared (R2) value reveals a good agreement between MOD09 and retrieved surface reflectance at band 1. The RMSE of the reflectance value differences are quite small; Band 1: 0.031; Band 3: 0.026; Band 4: 0.029.
  • Keywords
    aerosols; atmospheric optics; atmospheric techniques; radiative transfer; radiometry; remote sensing; vegetation; ASD field spec spectral radiometer; China; EOS-MODIS data; Heihe river basin; Moderate Resolution Imaging Spectroradiometer; R-squared value; aerosol optical depth; analytical spectral device; bright land surfaces; dark vegetated surfaces; quantitative information extraction; radiative transfer; root mean square error; surface reflectance retrieval; surface reflectance values; Adaptive optics; Aerosols; Land surface; MODIS; Mathematical model; Reflectivity; Remote sensing; BRDF; MODIS; land; simultaneous; surface reflectance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352475
  • Filename
    6352475