Abstract
Laser-induced fluorescence (LIF) served as an active technology has been widely used in many field, and it is closely related to excitation wavelength (EW). The objective of this investigation is to discuss the performance of different EWs of LIF LiDAR in identifying plant species. In this study, the 355, 460 and 556 nm lasers were utilized to excite the leaf fluorescence and the fluorescence spectra were measured by using the LIF LiDAR system built in the laboratory. Subsequently, the principal component analysis (PCA) with the help of support vector machine (SVM) was utilized to analyse fluorescence spectra. For the three EWs, the overall identification rates of the six plant species were 80 %, 83.3 % and 90 %. Experimental results demonstrated that 556 nm excitation light source is superior to 355 and 460 nm for the classification of the plant species for the same genus in this study. Thus, an appropriate excitation wavelength should be considered when the LIF LiDAR was utilized in the field of remote sensing based on the LIF technology.
Highlights
The diversity of vegetation is very important to the entire ecological system
The fluorescence spectra of eight plant species excited by different excitation wavelength (EW) (355, 460 and 556 nm) were analyzed and found that different EWs will result in different fluorescence spectra shapes
The fluorescence peak at 685 nm is more intensive than that 740 nm when 460 nm laser served as excitation light source, and the fluorescence spectra excited by 556 nm laser display the contrary cases
Summary
The diversity of vegetation is very important to the entire ecological system. In recent decades, a large number of technologies (Gong, et al 2012; Vauhkonen et al 2013), including passive and active remote sensing, have been proposed to monitor vegetation species. The using of the acquired spectral data disenables the accurate classification and identification of plant species or groups This technology was restricted by many other factors, such as weather condition, measurement time etc. LiDAR was proposed in the field of remote sensing (Koukoulas et al 2005) It was not limited by the weather condition and measurement time, and displayed the advantage of high temporal-spatial resolution and non-destructive. Gong et al (2012) proposed multi-wavelength canopy LiDAR (MWCL) containing both the spatial and spectral information for remote sensing of vegetation This technology has been successfully utilized to distinguish the coniferous from broad-leaf forest and can be employed to monitor the nutrient stress of crops
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