中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Validation of MODIS and CYCLOPES LAI products using global field measurement data

文献类型:SCI/SSCI论文

作者Fang H. L. ; Wei S. S. ; Liang S. L.
发表日期2012
关键词Leaf Area Index (LAI) MODIS CYCLOPES SPOT/VEGETATION Validation Uncertainty leaf-area index photosynthetically active radiation boreal aspen forest in-situ hemispherical photography satellite data absorbed par misr data vegetation canopy
英文摘要The objective of this paper is to quantitatively validate the global MODIS and CYCLOPES leaf area index (LAI) products using a global LAI field measurement database created on the basis of a literature review and major validation campaigns. The MODIS LAI product suite, containing the Terra Collection 4 (C4), Terra Collection 5 (C5) and Terra + Aqua combined C5, was analyzed, with considerable attention paid to the quality control (QC) information. The CYCLOPES V3.1 LAI product was similarly analyzed with regard to the status map (SM) layer. In general, the MODIS LAI has improved consistently over all releases. MODIS C5 data retrieved with the main algorithm (QC<64) and CYCLOPES data showed a similar range of uncertainties (1.0-1.2). Uncertainties for the best MODIS C5 (QC= 0) and CYCLOPES (SM =0) estimates were around 0.9-1.1. The overall mean differences between the best MODIS C5 and CYCLOPES were within +/- 0.10. The highest correspondence was obtained for woody biomes from the best MCD15 C5 data (RMSE = 0.80). Results indicate that the uncertainties in current LA! products (around +/- 1.0) are still unable to meet the accuracy requirement of GCOS (+/- 0.5). Although there are limitations, we recommend MODIS C5 retrieved with the main algorithm (QC<64) and CYCLOPES for the user community. This study demonstrates the necessity of exploring uncertainties related to the true and effective LA's separately, and reveals the importance of referring to the quality assessment information. More field measurements are required for further studies, which should focus on under-sampled biome types and areas. (C) 2011 Elsevier Inc. All rights reserved.
出处Remote Sensing of Environment
119
43-54
收录类别SCI
ISSN号0034-4257
源URL[http://ir.igsnrr.ac.cn/handle/311030/26942]  
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
Fang H. L.,Wei S. S.,Liang S. L.. Validation of MODIS and CYCLOPES LAI products using global field measurement data. 2012.

入库方式: OAI收割

来源:地理科学与资源研究所

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