Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method
文献类型：期刊论文
| 作者 | Fang, HL ; Wei, SS ; Jiang, ChongYa(江冲亚) ; Scipal, K |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2012 |
| 卷号 | 124页码:610-621 |
| 关键词 | Leaf area index (LAI) Triple collocation error model (TCEM) MODIS CYCLOPES GLOBCARBON Uncertainty Validation |
| 通讯作者 | Fang, HL |
| 英文摘要 | Uncertainty information for global leaf area index (LAI) products is important for global modeling studies but usually difficult to systematically obtain at a global scale. Here, we present a new method that cross-validates existing global LAI products and produces consistent uncertainty information. The method is based on a triple collocation error model (TCEM) that assumes errors among LAI products are not correlated. Global monthly absolute and relative uncertainties, in 0.05 degrees spatial resolutions, were generated for MODIS, CYCLOPES, and GLOBCARBON LAI products, with reasonable agreement in terms of spatial patterns and biome types. CYCLOPES shows the lowest absolute and relative uncertainties, followed by GLOBCARBON and MODIS. Grasses, crops, shrubs, and savannas usually have lower uncertainties than forests in association with the relatively larger forest LAI. With their densely vegetated canopies, tropical regions exhibit the highest absolute uncertainties but the lowest relative uncertainties, the latter of which tend to increase with higher latitudes. The estimated uncertainties of CYCLOPES generally meet the quality requirements (+/- 0.5) proposed by the Global Climate Observing System (GCOS), whereas for MODIS and GLOBCARBON only non-forest biome types have met the requirement. Nevertheless, none of the products seems to be within a relative uncertainty requirements of 20%. Further independent validation and comparative studies are expected to provide a fair assessment of uncertainties derived from TCEM. Overall, the proposed TCEM is straightforward and could be automated for the systematic processing of real time remote sensing observations to provide theoretical uncertainty information for a wider range of land products. (C) 2012 Elsevier Inc. All rights reserved |
| 收录类别 | SCI |
| 资助信息 | Hundred Talent Program of the Chinese Academy of Sciences |
| 公开日期 | 2013-09-10 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/27959]  |
| 专题 | 地理科学与资源研究所_研究生部 |
| 推荐引用方式 GB/T 7714 | Fang, HL,Wei, SS,Jiang, ChongYa,et al. Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method[J]. REMOTE SENSING OF ENVIRONMENT,2012,124:610-621. |
| APA | Fang, HL,Wei, SS,Jiang, ChongYa,&Scipal, K.(2012).Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method.REMOTE SENSING OF ENVIRONMENT,124,610-621. |
| MLA | Fang, HL,et al."Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method".REMOTE SENSING OF ENVIRONMENT 124(2012):610-621. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。