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Comparison of Gross Primary Productivity Derived from GIMMS NDVI3g, GIMMS, and MODIS in Southeast Asia

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Title: Comparison of Gross Primary Productivity Derived from GIMMS NDVI3g, GIMMS, and MODIS in Southeast Asia
Authors: Wang, Junbang Browse this author
Dong, Jingwei Browse this author
Liu, Jiyuan Browse this author
Huang, Mei Browse this author
Li, Guicai Browse this author
Running, Steven W. Browse this author
Smith, W. Kolby Browse this author
Harris, Warwick Browse this author
Saigusa, Nobuko Browse this author
Kondo, Hiroaki Browse this author
Liu, Yunfen Browse this author
Hirano, Takashi Browse this author
Xiao, Xiangming Browse this author
Keywords: MOD17A2
Southeast Asia
Gross Primary Productivity (GPP)
Issue Date: Mar-2014
Publisher: MDPI
Journal Title: Remote Sensing
Volume: 6
Issue: 3
Start Page: 2108
End Page: 2133
Publisher DOI: 10.3390/rs6032108
Abstract: Gross primary production (GPP) plays an important role in the net ecosystem exchange of CO2 between the atmosphere and terrestrial ecosystems. It is particularly important to monitor GPP in Southeast Asia because of increasing rates of tropical forest degradation and deforestation in the region in recent decades. The newly available, improved, third generation Normalized Difference Vegetation Index (NDVI3g) from the Global Inventory Modelling and Mapping Studies (GIMMS) group provides a long temporal dataset, from July 1981 to December 2011, for terrestrial carbon cycle and climate response research. However, GIMMS NDVI3g-based GPP estimates are not yet available. We applied the GLOPEM-CEVSA model, which integrates an ecosystem process model and a production efficiency model, to estimate GPP in Southeast Asia based on three independent results of the fraction of photosynthetically active radiation absorbed by vegetation (FPAR) from GIMMS NDVI3g (GPP(NDVI3g)), GIMMS NDVI1g (GPP(NDVI1g)), and the Moderate Resolution Imaging Spectroradiometer (MODIS) MOD15A2 FPAR product (GPP(MOD15)). The GPP results were validated using ground data from eddy flux towers located in different forest biomes, and comparisons were made among the three GPPs as well as the MOD17A2 GPP products (GPP(MOD17)). Based on validation with flux tower derived GPP estimates the results show that GPP(NDVI3g) is more accurate than GPP(NDVI1g) and is comparable in accuracy with GPP(MOD15). In addition, GPP(NDVI3g) and GPP(MOD15) have good spatial-temporal consistency. Our results indicate that GIMMS NDVI3g is an effective dataset for regional GPP simulation in Southeast Asia, capable of accurately tracking the variation and trends in long-term terrestrial ecosystem GPP dynamics.
Type: article
Appears in Collections:農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 平野 高司

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