Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis
文献类型：SCI/SSCI论文
| 作者 | Chen B. Z. ; Coops N. C. ; Fu D. ; Margolis H. A. ; Amiro B. D. ; Black T. A. ; Arain M. A. ; Barr A. G. ; Bourque C. P. A. ; Flanagan L. B. ; Lafleur P. M. ; Mccaughey J. H. ; Wofsy S. C. |
| 发表日期 | 2012 |
| 关键词 | Fluxnet Footprint climatology Spatial representativeness Eddy-covariance Remote sensing light-use efficiency northern temperate grassland gross primary production boreal deciduous forest net ecosystem exchange land-cover dioxide exchange energy fluxes interannual variability quality assessment |
| 英文摘要 | 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. (C) 2012 Elsevier Inc. All rights reserved. |
| 出处 | Remote Sensing of Environment |
| 卷 | 124 |
| 页 | 742-755 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0034-4257 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/30909]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Chen B. Z.,Coops N. C.,Fu D.,et al. Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis. 2012. |
入库方式： OAI收割
来源：地理科学与资源研究所
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