Abstract: This paper compared the changes of leaf chlorophyll content between roadside trees affected by urban communication environment and corresponding trees growing in a less polluted environment—Jingyue National Forest Park,with the hyperspectral data of leaf samples obtained by using ASD Field NVIR Spectroradiometer.The results showed that urban communication environment had a strong effect on the chlorophyll content of roadside tree leaves,and deciduous tree leaves had more intensive response than conifers tree leaves.The hyperspectral reflectance of roadside tree leaves had a close relation with the chlorophyll content,and the relationship varied with wavelength.At 740～760 nm,the correlation coefficient was >0.72.PSSR (pigment specific simple ratio) index had a close relation with chlorophyll content,and a power regression model was established,with the determination coefficient around 0.82.BP (back propagation) neural network showed a more promising potential for predicting the tree leaf chlorophyll content with hyperspectral reflectance data,and the determination coefficient was >0.97.It was suggested that hyperspectral reflectance data could be used to detect the change of roadside tree leaf chlorophyll content caused by urban communication environment.

Key words: Carbon flux, Correction method, Tropical seasonal rainforest