Dynamic Change Of Moso Bamboo Forest Canopy Parameters And Its Retrieval Based On Hyperspectral Remote Sensing

Moso bamboo forest is one of the special kind forests, in subtropical areas of China, which playsimportant role in ecological system balance, global warming, and solid carbon reduction. Also, thePhyllostachys heterocycla var pubescens had the most widely distribution and the largest area amongother bamboo forests on the world. Firstly, this research examined the canopy structure parameters,total chlorophyll content, and reflectance of the leaf of Moso bamboo from the period of bambooshoots fast growing to canopy completely closed. Secondly, dynamic change of the high spectralcharacteristic parameters, vegetation index had been studied and the characteristics of dynamicvariation of the bamboo forest canopy parameters for two phases were analyzed. Lastly, models werebuilt to estimate the LAI (Leaf Area Index), CC (Canopy Closure), TCC (total chlorophyll content),and PAR (Photosynthetic Active Radiation), respectively.Several conclusions were as follow:(1) Relationships between PAR and LAI, CC were more strongly, in posterior leaf developmentthan before and after of the leaf development, which showed that bamboo forest utilized solar energymore efficiently in posterior leaf development. PAR presented in logarithm growth trend before orafter the leaf development. The2005nm,2496nm of the first-order derivative were the two variablesof multivariable linear model for estimating PAR, which had got better accuracy (P<0.001;F=21;R2=0.776) and could be applied for estimating PAR.(2)The total chlorophyll content presented a logarithmic growth trend in the process of growthbamboo shoots with an increase of5.5ug/cm~2. TheH Gand NDVI were the independent variables ofmultivariable linear model which estimated the total chlorophyll content and obtained better effects(P=0.005, F=0.005, R~2=0.59).This model could be used for computing the TCC at leaf scale.(3) LAI appeared a logarithmic growth trend during the process of rapid growth bamboo shoots,for about1.0increment. During the posterior leaf development, LAI and PAR had positive correlativerelationship with correlation coefficient of0.796and0.796.TheSD p,(SD r-SDb)/(SDr+SDb),(SD r-SDy)/(SDr+SDy)and independent variables of stepwise regression model was used to estimate the LAI,which had got better accuracy(R2=0.91,F=132.9,P<0.001) and can be used for calculatingLAI.(4) Canopy Cover appeared in linear progression during the process of rapid growth bambooshoots with an increment about0.6. TheSD bindependent variable of parabolic model can be used forestimating CC. The accuracy of model was very good (F=8.7, P=0.005,R~2=0.53) and can be make useof calculating the CC.