Estimation of Global Net Primary Productivity from 1981 to 2018 with Remote Sensing Data

The long time series vegetation productivity products are of great significance to the research of increasing CO 2 and global changes. In this paper, global net primary productivity (NPP) in 1981-2018 was firstly estimated with Global LAnd Surface Satellite (GLASS) data, ERA-Interim meteorological d...

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Published inIGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium pp. 4331 - 4334
Main Authors Sun, Rui, Wang, Juanmin, Xiao, Zhiqiang, Zhu, Anran, Wang, Mengjia, Yu, Tao
Format Conference Proceeding
LanguageEnglish
Published IEEE 26.09.2020
Subjects
Biological system modeling
carbon cycle
climate change
Data models
Forestry
GLASS
net primary productivity
Productivity
Remote sensing
Vegetation mapping
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Summary:The long time series vegetation productivity products are of great significance to the research of increasing CO 2 and global changes. In this paper, global net primary productivity (NPP) in 1981-2018 was firstly estimated with Global LAnd Surface Satellite (GLASS) data, ERA-Interim meteorological data and the other variables by using the improved Multi-source data Synergized Quantitative (MuSyQ) NPP algorithm. The average global NPP is 61.0 PgC/yr in 1981-2018, which is in great agreement with the other similar products. The global NPP has shown a significant increase trend, with an annual growth rate of 0.10 PgC/yr over the past 38 years. NPP in the northern hemisphere and southern hemisphere account for 62.0% and 38.0% of the global respectively, both show an increasing trend. The overall increasing trends in NPP are also consistent among most of the biomes.
ISSN:2153-7003
DOI:10.1109/IGARSS39084.2020.9323555