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为了克服单个传感器影像在估算森林生物量方面的局限性,采用多传感器遥感影像估算森林生物量成为目前的发展趋势。该研究根据光学遥感数据源比较多的特点,采用Landsat5 TM数据、ALOS AVNIR-2数据和CBERS-02B CCD数据估算东莞市桉树森林生物量,在对比分析单个传感器估算生物量能力的基础上,将3种传感器结合在一起估算东莞市桉树生物量,充分发挥不同光学传感器在光谱分辨率、辐射分辨率、空间分辨率和时间分辨率等方面的优点,避开各自的缺点,提高了估算桉树生物量的精度,其决定系数达到0.65。该研究可为进一步研究大范围的森林生物量估算提供参考。
In order to overcome the limitation of single sensor image in estimating forest biomass, it is the current trend to estimate forest biomass using multi-sensor remote sensing image. Based on the characteristics of optical remote sensing data sources, this study estimated the forest biomass of Eucalyptus in Dongguan City based on Landsat5 TM data, ALOS AVNIR-2 data and CBERS-02B CCD data. Based on the comparative analysis of single sensor estimation of biomass capacity, Three kinds of sensors are combined to estimate the biomass of Eucalyptus in Dongguan City, and give full play to the advantages of different optical sensors in spectral resolution, radiation resolution, spatial resolution and temporal resolution, avoiding their respective shortcomings and improving the estimation of eucalyptus organisms The accuracy of the amount, the coefficient of determination of 0.65. This study can provide a reference for further research on estimating forest biomass in a wide range.