• DocumentCode
    1755285
  • Title

    A Method for Retrieving Land Surface Reflectance Using MODIS Data

  • Author

    Jie Guang ; Yong Xue ; Leiku Yang ; LinLu Mei ; Xingwei He

  • Author_Institution
    Key Lab. of Digital Earth Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
  • Volume
    6
  • Issue
    3
  • fYear
    2013
  • fDate
    41426
  • Firstpage
    1564
  • Lastpage
    1570
  • Abstract
    Surface reflectance retrieval is an important step in the data processing chain for the extraction of quantitative information in many applications. The aim of this paper is to develop a method for retrieving surface reflectance and aerosol optical depth simultaneously over both dark vegetated surfaces and bright land surfaces. After applying this method 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, with R-squared (R2) greater than 0.84 and root mean square error (RMSE) of 0.027 at band 1 (0.66 μm), 0.015 at band 3 (0.47 μm), and 0.017 at band 4 (0.55 μm). The R2 of MOD09 with ASD measured surface reflectance is around 0.60, and RMSE are 0.049 at band 1, 0.024 at band 3, and 0.036 at band 4 .
  • Keywords
    aerosols; atmospheric optics; atmospheric techniques; ASD Field Spec spectral radiometer; China; Heihe river basin; MODIS data; Moderate Resolution Imaging Spectroradiometer; aerosol optical depth; analytical spectral device; bright land surfaces; dark vegetated surfaces; data processing chain; land surface reflectance; quantitative information extraction; root mean square error; surface reflectance retrieval; BRDF; MODIS; Surface reflectance; land; simultaneous;
  • 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.2013.2259145
  • Filename
    6524010