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     Advance Journal of Food Science and Technology


Validating a Dynamic Global Vegetation Model with Remotely Sensed Vegetation Index

1Jiaxin Jin, 1Xiuying Zhang, 2Bin Zhou and 2Xiaodong Ding
1International Department for Earth System Science, Nanjing University, Hankou Road 22, Nanjing, 210093, China
2Department of Remote Sensing and Earth Sciences, College of Science, Hangzhou Normal University, Hangzhou, 310029, China
Advance Journal of Food Science and Technology  2013  2:132-136
http://dx.doi.org/10.19026/ajfst.5.3232  |  © The Author(s) 2013
Received: September 08, 2012  |  Accepted: October 24, 2012  |  Published: February 15, 2013

Abstract

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.

Keywords:

IBIS, Leaf area index, MODIS LAI,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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