Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis

Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis
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使用遥感和足迹分析来表征加拿大碳计划网络中通量塔涡流协方差测量的空间代表性

DOI:
10.1016/j.rse.2012.06.007
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发表时间:
2012-09
影响因子:
13.5
通讯作者:
Baozhang Chen, Nicholas C. Coops, Dongjie Fu et al
Baozhang Chen, Nicholas C. Coops, Dongjie Fu et al
中科院分区:
工程技术1区
文献类型:
--
作者:
Baozhang Chen, Nicholas C. Coops, Dongjie Fu et al

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我们描述了一个务实的方法来评估的空间代表性通量塔测量的基础上足迹气候学建模分析的土地覆盖和遥感植被指数。该方法被应用到加拿大碳计划(CCP),包括草原,湿地,温带和寒带森林横跨东西大陆梯度的12个通量站点。足迹区域内的空间变化进行了评估,通过检查的空间结构的归一化差异植被指数(NDVI)和土地覆盖使用频率分布,变异函数和窗口大小的地统计学分析。结果表明:在大多数样地,CCP塔观测到的目标植被功能类型(优势土地覆盖)的比例高于60%;在90%的年足迹气候学区域内,CCP塔观测到的NDVI在一定程度上呈现各向异性分布;通量足迹区域内的地表异质性在样地间存在差异。总体而言,森林站点比草地和湿地站点具有更大的细尺度空间变异。针叶寒带森林的网站有更大的空间变异性比两个湿地网站和针叶温带森林网站。我们的结论是足迹建模,半变异函数和窗口大小的技术相结合,连同中等空间分辨率的遥感图像数据,是一个务实的方法来评估通量塔测量的空间代表性。
We describe a pragmatic approach for evaluating the spatial representativeness of flux tower measurements based on footprint climatology modeling analyses of land cover and remotely sensed vegetation indices. The approach was applied to the twelve flux sites of the Canadian Carbon Program (CCP) that include grassland, wetland, and temperate and boreal forests across an east–west continental gradient. The spatial variation within the footprint area was evaluated by examining the spatial structure of Normalized Difference Vegetation Index (NDVI) and land cover using geostatistical analyses of frequency distribution, variogram and window size. The results show that at most sites (i) the percentages of the target vegetation functional type (dominant land cover) observed by the CCP towers were higher than 60%; (ii) to some extent, most of the CCP sites presented anisotropically distributed patterns of NDVI in the 90% annual footprint climatology area; and (iii) the land surface heterogeneity within the flux footprint area differed among sites. Overall, the forest sites had larger fine-scale spatial variation than the grassland and wetland sites. The coniferous boreal forest sites had greater spatial variability than the two wetland sites and a coniferous temperate forest site. We conclude that the combination of footprint modeling, semivariogram and window size techniques, together with moderate spatial resolution remotely-sensed image data, is a pragmatic approach for assessing the spatial representativeness of flux tower measurements.
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