云南省思茅区思茅松蓄积量与植被指数关系研究

摘要

以普洱市思茅区2005年森林资源规划设计调查 (二类调查) 数据为基础,基于Landsat TM遥感影像,开展对普洱市思茅区思茅松蓄积量与各类植被指数的定量研究.结果表明:当郁闭度为29%~40%时,蓄积量与环境植被指数EVI的拟合效果最好,相关性最强,拟合优度指数R2=0.42;郁闭度为40%~70%时,蓄积量与归一化植被指数NDVI的拟合优度最好,相关性最强,拟合优度指数R2=0.561;郁闭度大于70%时,蓄积量与RVI的拟合优度最好,相关性最强,拟合优度指数R2=0.568.坡向对蓄积量与植被指数的关系条件要求不严格,在估测蓄积量的时候可以忽略坡向的影响权重.就蓄积量与植被指数拟合模型的效果来看,三次多项式拟合模型效果最佳,较适用于蓄积量与植被指数关系的定量研究.%Based on the data of the second class investigation of the 2005 Planning and Desining of Forest Resources in Simao District, Puer City and the Landsat TM RS Image, this study carries out the quantitative research of the stocking volume of Pinus Khasys and all kinds of vegetation index in Simao District, Puer City.The results of the research have shown that the stocking volume and the invironmental vegetation index yield the best fitting effects with the strongest correlation of R2=0.42 when the crown density is 29%-40%;the stocking volume and the normalized differential vegetation index (NDVI) yield the best fitting effects with the strongest correlation of R2=0.561 when the crown density is 40%-70%;the stocking volume and the RVI yield the best fitting effects with the strongest correlation of R2=0.568 when the crown density is above 70%.The relationship between the aspect and the stocking volume as well as the vegetation index is not strict, and the influential weightings of the aspect can be ignored when estimating the stocking volume.From the perspective of the effects of the fitting model on the stocking volume and vegetation index, the cubic polynomial fitting model yields the best effects, and it is suitable for the quantitative research of the relation between the stocking volume and the vegetation index.