Abstract
Abstract. Mangroves are salt tolerant trees or shrubs commonly seen in mudflats of intertidal regions of tropical and subtropical coastlines. Recent advances in field spectroscopic techniques enabled the species level discrimination among closely related vegetation types. In this study we have analysed the laboratory spectroscopy data collected from eight species of Rhizophoraceaea family of mangroves. The spectral data ranges between the wavelength of 350 nm and 2500 nm at a very narrow bandwidth of 1 nm. Preprocessing techniques including smoothing were done on the spectra to remove the noise before compiling it to a spectral library. Derivative analysis of the spectra was done and its corresponding first and second derivatives were obtained. Statistical analysis such as parametric and non-parametric tests were implemented on the original processed spectra as well as their respective first and second order derivatives for the identification of significant bands for species discrimination. Results have shown that red edge region (680 nm – 720 nm) and water vapour absorption region around 1150 nm and 1400 nm are optimal as they were consistent in discriminating species in reflectance spectra as well as in its first and second derivative spectra. C. decandra species is found to be discriminable from other species while reflectance and its derivative spectra were used. Non-parametric statistical analysis gave better results than that of parametric statistical analysis especially in SWIR 2 spectral region (1831 nm – 2500 nm).
Highlights
Mangroves represent vegetation ecosystem commonly thriving in silt or clay soil in the intertidal zone of tropical and subtropical coastlines (Tomlinson, 1994)
Species belonging to 20 genera of 16 families were categorised as true mangrove species living in the core zone (Kuenzer et al, 2011) and remaining species were represented as associated species as they found associated with mangroves and often occur in transition zone between mangrove ecosystem and terrestrial ecosystems
In this paper we investigated the spectral discrimination among eight mangrove species of Rhizophoraceae family using their laboratory spectral reflectance data by implementing statistical tools such as parametric and non-parametric tests
Summary
Mangroves represent vegetation ecosystem commonly thriving in silt or clay soil in the intertidal zone of tropical and subtropical coastlines (Tomlinson, 1994). Spectral discrimination had been studied by utilizing field and lab reflectance data of various vegetation types such as agricultural crops (Song et al, 2011), Mediterranean species (Manevski et al, 2011) and coastal vegetation including mangroves (Manjunath et al, 2013; Panigrahy et al, 2012; Schmidt and Skidmore, 2003; Vaiphasa et al, 2005). Some studies were conducted based on the derivative spectral analysis of hyperspectral data such as conifer species identification using in-situ spectral data of range nm to 1050 nm (Gong et al, 1997), optimal band selection for wetland species identification using second derivative spectra (Becker et al, 2005) and identifying plant stress caused Derivative spectral analysis was conducted to obtain their first and second derivatives for the spectral discrimination analysis and to identify the optimal wavelengths which are very consistent in spectral discrimination
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