Dudeni, NDebba, Pravesh2009-09-212009-09-212009-08Dudeni, N and Debba, P. 2009. Evaluation of discrimination measures to characterize spectrally similar leaves of African Savannah trees. 57th Biennial Session of the International Statistical Institute, Durban, South Africa, 16-22 August, 2009. pp 1-5http://hdl.handle.net/10204/361157th Biennial Session of the International Statistical Institute, Durban, South Africa, 16-22 August, 2009Deterministic and stochastic measures of spectral similarity are essential for determining both the geometric characteristics of spectra and variability, respectively. Deterministic measures such as Spectral Angle Mapper (SAM) are useful in establishing similarities between spectra and are also functional in identification of vegetation types. The stochastic spectral similarity measures such as spectral information divergence (SID) describe the spectral prosperities essential for discriminating between the species observed through remote sensing technologies, by modeling spectra as probability distributions. These methods have been extensively utilized in geological studies and are now becoming very useful in vegetation spectroscopy. Little information is, however, available on the performance of these methods. The main objective of this study is to examine the statistical measures essential in distinguishing between the seven major savannah trees located in the largest game reserve (the Kruger National Park) situated in South Africa, at leaf level. The leaf measurements were obtained through the Analytical Spectral Radiometer (ASD) spectrometer of a hyperspectral sensor. The study also assesses the statistical significance of variations (the within and between spectral variations) in leaf spectra with respect to discriminating between these major tree species.enHyperspectralAfrican Savannah treesStepwise discriminant analysisSDASpectral angle mapperSAMSpectral information divergenceSIDRelative spectral discriminatory probabilityRSDPBAnalytical spectral radiometerEvaluation of discrimination measures to characterize spectrally similar leaves of African Savannah treesConference PresentationDudeni, N., & Debba, P. (2009). Evaluation of discrimination measures to characterize spectrally similar leaves of African Savannah trees. http://hdl.handle.net/10204/3611Dudeni, N, and Pravesh Debba. "Evaluation of discrimination measures to characterize spectrally similar leaves of African Savannah trees." (2009): http://hdl.handle.net/10204/3611Dudeni N, Debba P, Evaluation of discrimination measures to characterize spectrally similar leaves of African Savannah trees; 2009. http://hdl.handle.net/10204/3611 .TY - Conference Presentation AU - Dudeni, N AU - Debba, Pravesh AB - Deterministic and stochastic measures of spectral similarity are essential for determining both the geometric characteristics of spectra and variability, respectively. Deterministic measures such as Spectral Angle Mapper (SAM) are useful in establishing similarities between spectra and are also functional in identification of vegetation types. The stochastic spectral similarity measures such as spectral information divergence (SID) describe the spectral prosperities essential for discriminating between the species observed through remote sensing technologies, by modeling spectra as probability distributions. These methods have been extensively utilized in geological studies and are now becoming very useful in vegetation spectroscopy. Little information is, however, available on the performance of these methods. The main objective of this study is to examine the statistical measures essential in distinguishing between the seven major savannah trees located in the largest game reserve (the Kruger National Park) situated in South Africa, at leaf level. The leaf measurements were obtained through the Analytical Spectral Radiometer (ASD) spectrometer of a hyperspectral sensor. The study also assesses the statistical significance of variations (the within and between spectral variations) in leaf spectra with respect to discriminating between these major tree species. DA - 2009-08 DB - ResearchSpace DP - CSIR KW - Hyperspectral KW - African Savannah trees KW - Stepwise discriminant analysis KW - SDA KW - Spectral angle mapper KW - SAM KW - Spectral information divergence KW - SID KW - Relative spectral discriminatory probability KW - RSDPB KW - Analytical spectral radiometer LK - https://researchspace.csir.co.za PY - 2009 T1 - Evaluation of discrimination measures to characterize spectrally similar leaves of African Savannah trees TI - Evaluation of discrimination measures to characterize spectrally similar leaves of African Savannah trees UR - http://hdl.handle.net/10204/3611 ER -