Characterization and intercomparison of global moderate resolution leaf area index (LAI) products: Analysis of climatologies and theoretical uncertainties

Characterization and intercomparison of global moderate resolution leaf area index (LAI) products: Analysis of climatologies and theoretical uncertainties
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全球中分辨率叶面积指数 (LAI) 产品的表征和比较:气候学和理论不确定性分析

DOI:
10.1002/jgrg.20051
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发表时间:
2013-06-01
影响因子:
3.7
通讯作者:
Zhu, Zaichun
Zhu, Zaichun
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Fang, Hongliang;Jiang, Chongya;Zhu, Zaichun

文献摘要

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叶面积指数(LAI)是地表和气候建模研究的关键变量。全球存在多种 LAI 产品,了解这些产品的性能及其不确定性非常重要。 2003 年至 2010 年期间,以 0.01 度的空间分辨率和每月的时间步长对五种主要的全球 LAI 产品 MODIS、GEOV1、GLASS、GLOBMAP 和 JRC-TIP 进行了比较。 Land-SAF 每日产品被用作区域参考,以评估其他全球产品在非洲的表现。针对不同生物群落类型导出了跨传感器 LAI 转换方程。通过研究 MODIS、GEOV1 和 JRC-TIP 附带的产品定量质量指标 (QQIs) 来评估产品不确定性。 MODIS、GEOV1、GLASS 和 GLOBMAP 总体上是一致的,并且产品之间表现出很强的线性关系(R-2>0.74),典型偏差为
Leaf area index (LAI) is a critical variable for land surface and climate modeling studies. Several global LAI products exist, and it is important to know how these products perform and what their uncertainties are. Five major global LAI productsMODIS, GEOV1, GLASS, GLOBMAP, and JRC-TIPwere compared between 2003 and 2010 at a 0.01 degrees spatial resolution and with a monthly time step. The daily Land-SAF product was used as a regional reference in order to evaluate the performance of other global products in Africa. Cross-sensor LAI conversion equations were derived for different biome types. Product uncertainties were assessed by looking into the product quantitative quality indicators (QQIs) attached to MODIS, GEOV1, and JRC-TIP. MODIS, GEOV1, GLASS, and GLOBMAP are generally consistent and show strong linear relationships between the products (R-2>0.74), with typical deviations of