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2013 (Vol. 5, Issue: 02)
Article Information:

Validating a Dynamic Global Vegetation Model with Remotely Sensed Vegetation Index

Jiaxin Jin, Xiuying Zhang, Bin Zhou and Xiaodong Ding
Corresponding Author:  Bin Zhou 

Key words:  IBIS, Leaf area index, MODIS LAI, , , ,
Vol. 5 , (02): 132-136
Submitted Accepted Published
September 08, 2012 October 24, 2012 February 15, 2013

The present study aims to evaluate the ability of IBIS model to capture the difference in vegetation characteristics among six major biomes in the Northeast China Transect and to calibrate the simulated LAI by IBIS, using the product of MODIS LAI (Leaf Area Index). The results showed that IBIS simulated a little lower growing season LAI over temperate evergreen conifer forest and boreal evergreen forest, while it overestimated LAI relative to MODIS in non-growing season. IBIS performed poorly on LAI over savanna, grassland and shrub land, compared with MODIS and it nearly simulated higher LAI throughout the year. Based on regression analysis, the simulating LAI by IBIS (Integrated Biosphere Simulator) presented a significant linear correlation with that from MODIS over temperate evergreen conifer forest in spring and winter, boreal evergreen forest throughout the year and grassland from summer to early autumn. Therefore, it was help to adjust the model parameters over these plant functional types to calibrate the estimated LAI in a large spatial scale.
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  Cite this Reference:
Jiaxin Jin, Xiuying Zhang, Bin Zhou and Xiaodong Ding, 2013. Validating a Dynamic Global Vegetation Model with Remotely Sensed Vegetation Index.  Advance Journal of Food Science and Technology, 5(02): 132-136.
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ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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