G2TT
来源类型Articles
规范类型论文
DOI10.1016/j.jag.2011.10.008
ISSN0303-2434
Comparison of carbon assimilation estimates over tropical forest types in India based on different satellite and climate data products
Pham, T.T.; Garnett, S.T.; Aslin, H.J.
发表日期2011
出处International Journal of Applied Earth Observation and Geoinformation 18: 557-563
出版年2011
语种英语
摘要

Carbon assimilation defined as the overall rate of fixation of carbon through the process of photosynthesis is central to the climate change research. The present study compares the two well-known algorithms in satellite based carbon assimilation estimation, the Vegetation Photosynthesis Model (VPM) and the MOD 17A2 GPP Model, over the tropical forest types in India for a period of two years (September,
2006–August, 2008). The results indicate that the evergreen forest assimilate carbon at a higher rate while the rate is lower for montane grasslands. The comparison between the model results shows that there are large differences between these estimates, and that the spatial resolution of the input datasets plays a larger role than the algorithms of the models. The comparison exercise will be helpful for the refinement
and development of the existing and future GPP models by incorporating the empirical environmental conditions.

主题vegetation ; carbon ; climatic change ; tropical forests
区域India
URLhttps://www.cifor.org/library/3698/
来源智库Center for International Forestry Research (Indonesia)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/91990
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GB/T 7714
Pham, T.T.,Garnett, S.T.,Aslin, H.J.. Comparison of carbon assimilation estimates over tropical forest types in India based on different satellite and climate data products. 2011.
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