• DocumentCode
    1879255
  • Title

    Calculation of clumping index of mixed pixel and scale analysis

  • Author

    Ma, Qingmiao ; Li, Jing ; Liu, Qiang ; Liu, Qinhuo

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Appl., Beijing, China
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    775
  • Lastpage
    778
  • Abstract
    Clumping index is an important vegetation structure parameter to describe the foliage clumping in canopy quantitatively. It is defined as the ratio of the effective leaf area index to the true leaf area index. In previous studies, it is generally considerate that cluster of canopy and below canopy scale in pure pixel. However, the in-pixel spatial heterogeneity need be taken into account estimating clumping index in mixed pixel, which is different from clumping index of pure pixel. A new method to calculate clumping index of mixed pixel based on fine spatial resolution image is proposed in this paper. The sensitivity analysis has been processed and its results show that the pixel spatial heterogeneity and view zenith angles cannot be ignored for calculating the mixed-pixel clumping index. The method is capable of correcting the scale difference caused by the heterogeneity of the vegetation cover inside the mixed pixel the view zenith angle. The formula presented can estimate clumping index of the mixed pixel more accurately, which is significant for LAI inversion of coarse spatial resolution and the precision accuracy application of carbon cycle model.
  • Keywords
    atmospheric composition; carbon; ecology; geophysical image processing; image resolution; inverse problems; sensitivity analysis; vegetation; vegetation mapping; LAI inversion; canopy; carbon cycle model; coarse spatial resolution; foliage clumping; image spatial resolution; mixed pixel analysis; mixed pixel clumping index; pixel spatial heterogeneity; precision accuracy; scale analysis; sensitivity analysis; true leaf area index; vegetation cover; vegetation structure parameter; view zenith angle; Biological system modeling; Educational institutions; Indexes; Remote sensing; Sensitivity analysis; Spatial resolution; Vegetation mapping; gap frequency; leaf area index; mixture pixel; pixel-scale clumping index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049245
  • Filename
    6049245