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Characterization of aboveground biomass in an unmanaged boreal forest using Landsat temporal segmentation metrics

机译:利用Landsat时间分割指标表征未经管理的北方森林地上生物量

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Canada is dominated by forested ecosystems which are subject to various inventory and management practices, with more northern boreal forests subject to neither. Our objectives were to measure the capacity of temporal trajectory metrics for estimating selected forest attributes in a northern Canadian boreal forest context using Landsat imagery and investigate the importance of different types of temporal trajectory metrics. Results indicated that Wetness was the best Tasseled Cap (TC) component for above-ground biomass estimation (R~2 = 50%, RMSE% =56%), and the combination of simple and complex metrics from all TC components produced the highest R~2 (62%) and lowest RMSE% (49%). Using a similar combination of variables, other forest attributes were estimated equally reliably with lower RMSE% values. The most important temporal trajectory metrics were simple and described TC component values at each point of change in the temporal trajectory, however the most important variables overall were environmental variables.
机译:加拿大以森林生态系统为主,森林生态系统受各种清单和管理规范的约束,而北方的北方森林则不受任何限制。我们的目标是使用Landsat影像测量时间轨迹指标用于估计加拿大北部寒带森林环境中选定森林属性的能力,并研究不同类型的时间轨迹指标的重要性。结果表明,对于地上生物量估计,湿度是最好的流苏帽(TC)组件(R〜2 = 50%,RMSE%= 56%),并且来自所有TC组件的简单和复杂指标的组合产生了最高的R 〜2(62%)和最低RMSE%(49%)。使用类似的变量组合,可以以较低的RMSE%值同样可靠地估计其他森林属性。最重要的时间轨迹度量很简单,并描述了时间轨迹中每个变化点的TC分量值,但是总体上最重要的变量是环境变量。

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