Research Article Open Access

Hyperspectral Remote Sensing of Vegetation Using Red Edge Position Techniques

Helmi Zulhaidi Mohd Shafri1, Mohamad Amran Mohd Salleh1 and Azadeh Ghiyamat2
  • 1 , Afganistan
  • 2 ,
American Journal of Applied Sciences
Volume 3 No. 6, 2006, 1864-1871

DOI: https://doi.org/10.3844/ajassp.2006.1864.1871

Submitted On: 22 April 2006
Published On: 17 June 2006

How to Cite: Shafri, H. Z. M., Salleh, M. A. M. & Ghiyamat, A. (2006). Hyperspectral Remote Sensing of Vegetation Using Red Edge Position Techniques. American Journal of Applied Sciences, 3(6), 1864-1871. https://doi.org/10.3844/ajassp.2006.1864.1871

Abstract

Two red edge position (REP) techniques, Linear and Lagrangian, were applied on hyperspectral data acquired from the HyMap sensor for a forested area in Thetford Forest, UK. Red edge positions of different vegetation covers were extracted with the two approaches from the hyperspectral data. Based on the estimated REPs, the Linear and Lagrangian interpolation methods were compared with ground reference image to analyse different vegetation types and ages. Experimental results of both interpolation techniques indicate that the wavelength and reflectance of REP for younger plants (higher chlorophyll content) shift towards longer wavelength and of higher reflectance in comparison with older plants (lower chlorophyll content).

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Keywords

  • Hyperspectral
  • Linear
  • Lagrangian
  • chlorophyll
  • red edge position