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This paper explored the spatio-temporal patterns of vegetation productivity based on MODIS-NDVI and spatial auto-correlation analysis in the grassland of Inner Mongolia, China during 2011–2013. Two statistics indices, i.e., spatial auto-correlation and semi variance function, were applied in the analysis. The results showed that: (1) at regional scale, the NDVI presented a positive spatial auto-correlation, while at local scope NDVI showed high-high auto-correlation in the eastern part of the study region where the vegetation cover was relatively best. In contrast, NDVI displayed low-low auto-correlation in the western area where the vegetation cover was poor. (2) During 2011 to 2013, the structural factors explained 70 % of the total spatial variations impacting the vegetation cover, and the annual precipitation also played a significant role in the spatial variation of vegetation cover.

Assessment of Spatio-Temporal Vegetation Productivity Pattern Based on MODIS-NDVI and Geo-Correlation Analysis