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2012•Advanced materials researchOpen access

Spatio-Temporal Variation of Vegetation NDVI in China from 2001 to 2011

Qing Hui Lin, Li Ran Sun, Xue Zhi Wang, Liang Lin Hu

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Abstract

In this paper, Moderate-resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) dataset, a global dataset with 1km spatial resolution and one month temporal resolution, was selected as the data source. The spatio-temporal variation of vegetation NDVI in China and the seven regions of China during the period from 2001 to 2011 were studied by using maximum value method, average method and linear regression trend analysis method. Results show that: Over the past 11 years, the change of China Annual NDVI was insignificant. The variation of mean NDVI of different regions was obvious. Trend analysis shows that vegetation NDVI in China had an increasing trend from 2001 to 2011.

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What this paper is about

In this paper, Moderate-resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) dataset, a global dataset with 1km spatial resolution and one month temporal resolution, was selected as the data source. The spatio-temporal variation of vegetation NDVI in China and the seven regions of China during the period from 2001 to 2011 were studied by using maximum value method, average method and linear regression trend analysis method. Results show that: Over the past 11 years, the change of China Annual NDVI was insignificant. The variation of mean NDVI of different regions was obvious. Trend analysis shows that vegetation NDVI in China had an increasing trend from 2001 to 2011.

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Available abstract

In this paper, Moderate-resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) dataset, a global dataset with 1km spatial resolution and one month temporal resolution, was selected as the data source. The spatio-temporal variation of vegetation NDVI in China and the seven regions of China during the period from 2001 to 2011 were studied by using maximum value method, average method and linear regression trend analysis method. Results show that: Over the past 11 years, the change of China Annual NDVI was insignificant. The variation of mean NDVI of different regions was obvious. Trend analysis shows that vegetation NDVI in China had an increasing trend from 2001 to 2011.

Key concepts: Normalized Difference Vegetation Index, Moderate-resolution imaging spectroradiometer, China, Vegetation (pathology), Enhanced vegetation index, Environmental science, Variation (astronomy), Regression analysis

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