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Seasonal changes in camera-based indices from an open canopy black spruce forest in Alaska, and comparison with indices from a closed canopy evergreen coniferous forest in Japan

机译:阿拉斯加开放式冠层黑云杉林的相机指数的季节性变化,与日本封闭冠层常绿针叶林的指数进行比较

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摘要

Evaluation of the carbon, water, and energy balances in evergreen coniferous forests requires accurate in situ and satellite data regarding their spatio-temporal dynamics. Daily digital camera images can be used to determine the relationships among phenology, gross primary productivity (GPP), and meteorological parameters, and to ground-truth satellite observations. In this study, we examine the relationship between seasonal variations in camera-based canopy surface indices and eddy-covariance-based GPP derived from field studies in an Alaskan open canopy black spruce forest and in a Japanese closed canopy cedar forest. The ratio of the green digital number to the total digital number, hue, and GPP showed a bell-shaped seasonal profile at both sites. Canopy surface images for the black spruce forest and cedar forest mainly detected seasonal changes in vegetation on the floor of the forest and in the tree canopy, respectively. In contrast, the seasonal cycles of the ratios of the red and blue digital numbers to the total digital numbers differed between the two sites, possibly due to differences in forest structure and leaf color. These results suggest that forest structural characteristics, such as canopy openness and seasonal forest-floor changes, should be considered during continuous observations of phenology in evergreen coniferous forests.
机译:要评估常绿针叶林中的碳,水和能量平衡,需要有关其时空动态的准确的原位和卫星数据。每日数码相机图像可用于确定物候,总初级生产力(GPP)和气象参数之间的关系,以及与地面真卫星观测的关系。在这项研究中,我们研究了基于相机的冠层表面指数的季节性变化与基于涡流协方差的GPP之间的关系,该GPP来自阿拉斯加开放冠层黑云杉林和日本封闭冠层雪松林的田间研究。绿色数字数字与总数字数字,色相和GPP之比在两个站点上均显示出钟形的季节性变化。黑云杉林和雪松林的冠层表面图像分别主要检测到森林底部和树冠层中植被的季节性变化。相反,两个站点之间红色和蓝色数字数字与总数字数字之比的季节性周期有所不同,这可能是由于森林结构和叶子颜色的差异所致。这些结果表明,在对常绿针叶林进行物候学的连续观察时,应考虑森林结构特征,如树冠开放度和季节性林底变化。

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