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Modelling aboveground biomass using MODIS FPAR/LAI data in alpine grasslands of the Northern Tibetan Plateau

机译:利用MODIS FPAR / LAI数据对青藏高原北部高寒草地地上生物量进行建模

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摘要

Aboveground biomass (AGB) is a vital variable in global carbon cycling and plays important roles in ecosystem structure and function in grasslands. Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 leaf area index (LAI) and fractional photo-synthetically active radiation absorbed by vegetation (FPAR) data were used to model AGB in alpine grasslands in the Northern Tibetan Plateau. MYD15A2H (derived from the Aqua MODIS with a temporal resolution of eight days) FPAR/LAI with lower RMSE values ( 18 gm(-2)) may have higher estimated accuracies than MOD15A2H (derived from the Terra MODIS with a temporal resolution of eight days), MCD15A2H (derived fromthe combination of Terra MODIS and Aqua MODIS with a temporal resolution of eight days) and MCD15A3H (derived from the combination of Terra MODIS and Aqua MODIS with a temporal resolution of four days) FPAR/LAI with higher RMSE values ( 20 g m(-2)). The RMSE values (11.42-13.27 g m(-2)) in the open grazed areas were lower than those (17.46-17.56 g m(-2)) in fenced areas for MYD15A2H. Therefore, the estimated accuracies of AGB may vary among the four MODIS FPAR/LAI products and land use types in alpine grasslands of the Northern Tibetan Plateau.
机译:地上生物量(AGB)是全球碳循环的重要变量,在草原的生态系统结构和功能中起着重要作用。使用中分辨率成像光谱仪(MODIS)收集6叶面积指数(LAI)和植被吸收的部分光合有效辐射(FPAR)数据,对青藏高原北部高寒草原的AGB进行建模。具有较低RMSE值(<18 gm(-2))的MYD15A2H(来自Aqua MODIS,时间分辨率为8天)可能比MOD15A2H(来自Terra MODIS,时间分辨率为8)具有较低的FSE / LAI。天数),MCD15A2H(来自时间分辨率为8天的Terra MODIS和Aqua MODIS的组合)和MCD15A3H(来自时间分辨率为4天的Terra MODIS和Aqua MODIS的组合)FPAR / LAI具有较高的RMSE值(> 20克(-2))。对于MYD15A2H,开放放牧区域的RMSE值(11.42-13.27 g m(-2))低于围栏区域的RMSE值(17.46-17.56 g m(-2))。因此,青藏高原北部高寒草地的四种MODIS FPAR / LAI产品和土地利用类型的估计AGB准确性可能会有所不同。

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  • 来源
    《Remote sensing letters》 |2018年第3期|150-159|共10页
  • 作者

    Wu Jian Shuang; Fu Gang;

  • 作者单位

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Lhasa Plateau Ecosyst Res Stn, Beijing, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Lhasa Plateau Ecosyst Res Stn, Beijing, Peoples R China;

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