Comparison of Gross Primary Productivity Derived from GIMMS NDVI3g, GIMMS, and MODIS in Southeast Asia
文献类型：SCI/SSCI论文
| 作者 | Huang M. |
| 发表日期 | 2014 |
| 关键词 | MOD17A2 Southeast Asia GLOPEM-CEVSA Gross Primary Productivity (GPP) MOD15A2 GIMMS NDVI1g GIMMS NDVI3g net primary productivity light-use efficiency leaf-area index photosynthetically active radiation evergreen needleleaf forest time-series interannual variability ecosystem productivity temporal validation terrestrial gross |
| 英文摘要 | 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. |
| 出处 | Remote Sensing |
| 卷 | 6 |
| 期 | 3 |
| 页 | 2108-2133 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 2072-4292 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/29566]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Huang M.. Comparison of Gross Primary Productivity Derived from GIMMS NDVI3g, GIMMS, and MODIS in Southeast Asia. 2014. |
入库方式： OAI收割
来源：地理科学与资源研究所
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