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

Junbang Wang, Jingwei Dong, Jiyuan Liu, Mei Huang, Guicai Li, Steven Running, W. Smith, Warwick Harris, Nobuko Saigusa, Hiroaki Kondo, Yunfen Liu, Takashi Hirano (+1 others)
2014 Remote Sensing  
Gross primary production (GPP) plays an important role in the net ecosystem exchange of CO 2 between the atmosphere and terrestrial ecosystems. It is particularly important to monitor GPP in Southeast Asia because of increasing rates of tropical forest OPEN ACCESS Remote Sens. 2014, 6 2109 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
more » ... udies (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.
doi:10.3390/rs6032108 fatcat:genqm7lcfnf2bkbhy7pvp5bz7u