长株潭城市群植被碳贮量与碳密度遥感估算

Remote Sensing Estimation of Vegetation Carbon Storage and Density of Changsha-Zhuzhou-Xiangtan Urban Agglomeration

以长株潭城市群为研究区域,综合运用RS与GIS技术,利用2009年IRS-P6多光谱遥感影像计算植被指数,结合2009年森林资源清查样地计算得到碳储量数据,建立植被指数与植被碳密度估算模型,估算长株潭植被碳贮量与碳密度。结果表明,回归模型拟合效果较好,复相关系数达0.758。估算得到长株潭地区植被总碳贮量为49.69 Tg(1Tg=10^(12)g),平均碳密度为17.67 t/hm^2。长株潭植被碳密度呈现由中心城区向周边逐步增加的特征,离中心城区越远,碳密度越高,最高的区域为炎陵县27.89 t/hm2,最低的区域为长沙市芙蓉区2.24 t/hm^2。

This paper took Changsha-Zhuzhou-Xiangtan urban agglomeration as research area, using the normalized difference vegetation index （NDVI） calculated by IRS-P6 multispectral remote sensing images in 2009, and carbon storage data calculated by forest inventory plots, the regression equation to estimate vegetation car- bon storage and density of Changsha-Zhuzhou-Xiangtan urban agglomeration was established. The results showed that the regression equation had a good fitting effect, the complex correlativity coefficient of the equation was 0. 758. The total vegetation carbon storage was 49.69 Tg （1Tg = 10^12g）, the average vegetation carbon density was 17. 67 t/hm2. The vegetation carbon density showed the trend of gradually increasing from the city center to the surrounding, the carbon density was getting higher with getting farther away from the city center, , the average vegetation carbon density in Yanling county was the highest （27.89 t/hm2） , the average vegeta- tion carbon density in Furong district was the lowest （2. 24 t,/hm2）.