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城市森林是增加城市碳吸收的积极因素之一,为全球碳循环作出了重要贡献.本文基于Quickbird高分辨率遥感影像,以浙江省义乌市环城路以内区域为研究区,将市区的森林分为公园森林、防护森林、单位附属森林和其他森林4种类型.以实地样地调查碳储量为因变量,利用逐步线性回归的分析方法从遥感影像中的波段灰度值、植被指数、纹理信息等50个因子中选取自变量因子,最终建立不同森林类型的遥感碳储量估算模型.结果表明:研究区4种森林类型的模型精度都在70%左右.公园森林、防护森林、单位附属森林和其他森林的碳储量分别为3623.80、5245.78、5284.84、5343.65 t.该区域碳密度主要集中在25~35 t·hm-2.在今后的城市森林规划中,可通过提高绿化率以及乔木与低矮灌木的套种来进一步加强城市森林碳吸收的功能.
Urban forest is one of the positive factors to increase carbon absorption in the city and makes an important contribution to the global carbon cycle.Based on the Quickbird high resolution remote sensing image and taking the area within the ring road of Yiwu City in Zhejiang Province as the research area, Divided into four types of park forest, protection forest, afforestation forest and other forest types.According to the field sample survey of carbon storage as the dependent variable, using the stepwise linear regression analysis method from the remote sensing image gray value, vegetation index, texture Information and other 50 factors selected from the independent variables, the final establishment of different forest types of remote sensing carbon reserves estimation model.The results show that: the study area 4 types of forest models are about 70% accuracy.Parks, protective forests, afforestation forests And other forests are 3623.80,5245.78,5284.84,5343.65 t respectively.The carbon density in this area mainly concentrates at 25-35 t · hm-2. In the future urban forest planning, by increasing the greening rate and the ratio of tree to low Intercropping of dwarf shrubs further enhances the function of urban forest carbon uptake.