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

Wang, Junbang; Dong, Jingwei; Liu, Jiyuan; Huang, Mei; Li, Guicai; Running, Steven W.; Smith, W. Kolby; Harris, Warwick; Saigusa, Nobuko; Kondo, Hiroaki; Liu, Yunfen; Hirano, Takashi; Xiao, Xiangming

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

Wang, Junbang; Dong, Jingwei; Liu, Jiyuan et al.

Remote Sensing, 2014, 6(3), 2108-2133

Permalink : https://hdl.handle.net/2115/56365

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アクセス権	open access
URI	https://hdl.handle.net/2115/56365
タイトル	Comparison of Gross Primary Productivity Derived from GIMMS NDVI3g, GIMMS, and MODIS in Southeast Asia
著者	Wang, Junbang ; Dong, Jingwei ; Liu, Jiyuan ; Huang, Mei ; Li, Guicai ; Running, Steven W. ; Smith, W. Kolby ; Harris, Warwick ; Saigusa, Nobuko ; Kondo, Hiroaki ; Liu, Yunfen ; Hirano, Takashi ; Xiao, Xiangming
著者名 Wang, Junbang
著者名 Dong, Jingwei
著者名 Liu, Jiyuan
著者名 Huang, Mei
著者名 Li, Guicai
著者名 Running, Steven W.
著者名 Smith, W. Kolby
著者名 Harris, Warwick
著者名 Saigusa, Nobuko
著者名 Kondo, Hiroaki
著者名 Liu, Yunfen
著者名 Hirano, Takashi
著者名 Xiao, Xiangming
言語	英語
キーワード	MOD17A2
	Southeast Asia
	GLOPEM-CEVSA
	Gross Primary Productivity (GPP)
	MOD15A2
	GIMMS NDVI1g
	GIMMS NDVI3g
発行日	2014-03
出版者	MDPI
収録物名	Remote Sensing
巻(号)	6(3)
ページ	2108-2133
抄録	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.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
権利情報	http://www.nonlinear-processes-in-geophysics.net/general_information/license_and_copyright.html
権利情報	Creative Commons Attribution 3.0 Unported
PISSN	2072-4292
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.3390/rs6032108