Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data
Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data
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根据全球陆地和地表卫星数据估算全球植被生产力
DOI：
10.3390/rs10020327
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发表时间：
2018
期刊：
影响因子：
5
通讯作者：
Wang Juanmin
中科院分区：
文献类型：
--
作者：
Yu Tao;Sun Rui;Xiao Zhiqiang;Zhang Qiang;Liu Gang;Cui Tianxiang;Wang Juanmin
准确估算植被生产力对于陆地生态系统、碳循环和气候变化研究具有重要意义。中分辨率成像光谱仪产品（MOD 17）包含了8天的总初级生产力（GPP）和年净初级生产力（NPP），这些产品被认为是监测全球植被生产力的第一个业务数据集。然而，云污染的MODIS叶面积指数（LAI）和光合有效辐射（FPAR）的分数反演可能会引入一些相当大的误差，MODIS的GPP和NPP产品。本文首先利用全球陆地卫星（GLASS）的LAI和FPAR产品估算了全球8天GPP和8天NPP。利用FLUXNET GPP数据和BigFoot NPP数据对GPP和NPP估算值进行了验证，并与MODIS GPP和NPP产品进行了比较。与MODIS GPP相比，时间序列表明，我们研究中估计的GLASS GPP在时间上更连续，空间上更完整，轨迹更平滑。与FLUXNET GPP和BigFoot NPP的验证，我们表明，估计的GLASS GPP和NPP达到更高的精度为大多数植被类型。
Accurately estimating vegetation productivity is important in research on terrestrial ecosystems, carbon cycles and climate change. Eight-day gross primary production (GPP) and annual net primary production (NPP) are contained in MODerate Resolution Imaging Spectroradiometer (MODIS) products (MOD17), which are considered the first operational datasets for monitoring global vegetation productivity. However, the cloud-contaminated MODIS leaf area index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) retrievals may introduce some considerable errors to MODIS GPP and NPP products. In this paper, global eight-day GPP and eight-day NPP were first estimated based on Global LAnd Surface Satellite (GLASS) LAI and FPAR products. Then, GPP and NPP estimates were validated by FLUXNET GPP data and BigFoot NPP data and were compared with MODIS GPP and NPP products. Compared with MODIS GPP, a time series showed that estimated GLASS GPP in our study was more temporally continuous and spatially complete with smoother trajectories. Validated with FLUXNET GPP and BigFoot NPP, we demonstrated that estimated GLASS GPP and NPP achieved higher precision for most vegetation types.