Hyperspectral Estimation of Chlorophyll Content in Phyllostachys edulis Leaves with Considering Bamboo Age
[Objective]Phyllostachys edulis is a plant with significant economic benefits and carbon sequestration capabilities,the application of hyperspectral remote sensing in vegetation research makes it possible to estimate chlorophyll content,studying it is of great significance.[Method]This paper selects samples of Ph.edulis leaves from three different age groups,each comprising five plants,to measure chlorophyll content and hyperspectral characteristics parameters.A spectrometer is used to correlate the spectral properties of Ph.edulis leaves with their chlorophyll content.Linear and exponential models related to chlorophyll content are developed to link hyperspectral parameter data such as green peak reflectance,maximum first-order derivative within the red edge,normalized value of green peak and red valley reflectance,and the ratio of the sum of first-order derivatives within the red edge to those within the blue edge.The stability and predictive power of these models are also tested.[Result]The optimalspectral estimation model for chlorophyll in Ph.edulis leaves across all ages is the ratio of the sum of the first-order derivatives within the red edge (SDr)to that within the blue edge (SDb).This exponential function model is:y=1 .8239 exp (2.9336 ×x),correlation coefficient is R=0.543.[Conclusion]Hyperspectral inversion enables accurate,rapid,and non-destructive monitoring of chlorophyll content in Ph.edulis,which can provide theoretical basis for remote sensing monitoring,health assessment,and scientific management of bamboo forests.
万方数据
维普
