期刊论文详细信息
Remote Sensing
RPV Model Parameters Based on Hyperspectral Bidirectional Reflectance Measurements of Fagus sylvatica L. Leaves
Dimitrios Biliouris1  Dimitry van der Zande1  Willem W. Verstraeten1  Jan Stuckens1  Bart Muys3  Philip Dutré2 
[1] Department of Biosystems, Katholieke Universiteit Leuven, M3-BIORES, Willem de Croylaan 34, BE-3001 Leuven, Belgium;Department of Computer Sciences, Katholieke Universiteit Leuven, Celestijnenlaan 200A, BE-3001 Leuven, Belgium;Department of Earth and Environmental Sciences, Katholieke Universiteit Leuven, Celestijnenlaan 200 E, BE-3001 Leuven, Belgium
关键词: BRF-measurement;    goniometer;    spectroradiometer;    Fagus sylvatica L.;    leaves;    Rahman-Pinty-Verstraete reflectance model;   
DOI  :  10.3390/rs1020092
来源: mdpi
PDF
【 摘 要 】

The bidirectional reflectance parametric and semi-empirical Rahman-Pinty-Verstraete (RPV) model was inverted based on Bidirectional Reflectance Factor (BRF) measurements of 60 Fagus sylvatica L. leaves in the optical domain between 400 nm and 2,500 nm. This was accomplished using data retrieved from the Compact Laboratory Spectro-Goniometer (CLabSpeG) with an azimuth and zenith angular step of 30 and 15 degrees, respectively. Wavelength depended RPV parameters describing the leaf reflectance shape (rho0), the curve convexity (k) and the dominant forward scattering (Θ) were derived using the RPVinversion-2 software (Joint Research Centre) package with Correlation Coefficient values between modelled and measured data varying between 0.71 and 0.99 for all wavelengths, azimuth and zenith positions. The RPV model parameters were compared with a set of leaves not participating in the inversion procedure and presented Correlation Coefficient values ranging between 0.64 and 0.94 suggesting that RPV could be also used for simulating single canopy elements such as leaves.

【 授权许可】

CC BY   
© 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.

【 预 览 】
附件列表
Files Size Format View
RO202003190056829ZK.pdf 388KB PDF download
  文献评价指标  
  下载次数:9次 浏览次数:61次