Hyperspectral Remote Sensing of Vegetation Using Red Edge Position Techniques | Science Publications

American Journal of Applied Sciences

Mohamad A.R. Salleh¹  Mohamad A.M. Salleh¹  Helmi Z.M. Shafri¹  Azadeh Ghiyamat¹ 

关键词: Hyperspectral;    Linear;    Lagrangian;    chlorophyll;    red edge position;   

DOI  :  10.3844/ajassp.2006.1864.1871

学科分类：自然科学（综合）

来源: Science Publications

【 摘 要 】

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).

【 授权许可】

Unknown