Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Estimation of Forest LAI in Close Canopy Situation Using Optical Remote Sensing Data

  • Lee, Kyu-Sung (Inha University, Dept. of Geoinformatic Engineering) ;
  • Kim, Sun-Hwa (Inha University, Dept. of Geoinformatic Engineering) ;
  • Park, Ji-Hoon (Inha University, Dept. of Geoinformatic Engineering) ;
  • Kim, Tae-Geun (Inha University, Dept. of Geoinformatic Engineering) ;
  • Park, Yun-Il (Inha University, Dept. of Geoinformatic Engineering) ;
  • Woo, Chung-Sik (Inha University, Dept. of Geoinformatic Engineering)
  • Published : 2006.10.31
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Abstract

Although there have been several attempts to estimate forest LAI using optical remote sensor data, there are still not enough evidences whether the NDVI is effective to estimate forest LAI, particularly in fully closed canopy situation. In this study, we have conducted a simple correlation analysis between LAI and spectral reflectance at two different settings: 1) laboratory spectral measurements on the multiple-layers of leaf samples and 2) Landsat ETM+ reflectance in the close canopy forest stands with fieldmeasured LAI. In both cases, the correlation coefficients between LAI and spectral reflectance were higher in short-wave infrared (SWIR) and visible wavelength regions. Although the near-IR reflectance showed positive correlations with LAI, the correlations strength is weaker than in SWIR and visible region. The higher correlations were found with the spectral reflectance data measured on the simulated vegetation samples than with the ETM+ reflectance on the actual forests. In addition, there was no significant correlation between the forest.LAI and NDVI, in particular when the LAI values were larger than three. The SWIR reflectance may be important factor to improve the potential of optical remote sensor data to estimate forest LAI in close canopy situation.

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References

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