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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 | | GLOPEM-CEVSA | | Gross Primary Productivity (GPP) | | MOD15A2 | | GIMMS NDVI1g | | GIMMS NDVI3g |
| 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. |
| Rights: | http://www.nonlinear-processes-in-geophysics.net/general_information/license_and_copyright.html | | http://creativecommons.org/licenses/by/3.0/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/56365 |
| 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)
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Submitter: 平野 高司
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