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Validation of MODIS and CYCLOPES LAI products using global field measurement data

机译:使用全球现场测量数据验证MODIS和CYCLOPES LAI产品

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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 LAI 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 LAIs 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.
机译:本文的目的是使用基于文献综述和主要验证活动而创建的全球LAI田间测量数据库,对全球MODIS和CYCLOPES叶面积指数(LAI)产品进行定量验证。 MODIS LAI产品套件,包含Terra Collection 4(C4),Terra Collection 5(C5)和Terra。 +。分析了Aqua组合的C5,并特别注意了质量控制(QC)信息。对CYCLOPES V3.1 LAI产品进行了类似的状态图(SM)层分析。总体而言,MODIS LAI在所有版本中均得到了持续改进。用主算法(QC <64)检索的MODIS C5数据和CYCLOPES数据显示出相似的不确定性范围(1.0-1.2)。最佳MODIS C5(QC = 0)和CYCLOPES(SM = 0)估计的不确定度约为0.9-1.1。最佳MODIS C5和CYCLOPES之间的总体平均差在±0.10之内。从最佳的MCD15 C5数据(RMSE = 0.80)获得了木质生物群系的最高对应性。结果表明,当前LAI产品的不确定性(约±1.0)仍不能满足GCOS的精度要求(±0.5)。尽管存在局限性,但建议用户使用主要算法(QC <64)和CYCLOPES检索的MODIS C5。这项研究表明,有必要分别探索与真实和有效LAI相关的不确定性,并揭示了参考质量评估信息的重要性。进一步的研究需要更多的野外测量,这些研究应集中于采样不足的生物群落类型和区域。

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