Article Details

Abstract

The Normalized Difference Vegetation Index (NDVI) is an important indicator for characterizing the growth status of regional vegetation and changes in the ecological environment. Based on the GEE platform, this paper extracts the long-term annual and monthly long-term NDVI time series data for Guizhou province from 2001 to 2024, and used the BEAST algorithm to perform trend analysis and change-point detection on the annual and monthly NDVI. The research results show that NDVI in Guizhou province has generally exhibited an upward trend over the past 24 years, with an annual increase rate of 0.003, and a significant abrupt change and notable increase occurring around 2013—2014. Moreover, from the monthly data during 2001—2024, the seasonal component did not show significant abrupt changes, while the trend component, showed the largest mutation occurring around April 2013. The intra-annual scale is better able to capture such change-point characteristics. One possible explanation for the abrupt change in the trend component is that although urbanization has reduced vegetation coverage, ecological conservation measures have significantly enhanced it. The research results can provide a scientific basis for the ecological conservation and sustainable development research in Guizhou province.

Keywords

Normalized Difference Vegetation Index; Guizhou province; time-series change; mutation characteristics; BEAST algorithm

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About the authors

Ouyang Bin (1985-), male, Han nationality, from Jianhe, Guizhou, engineer, bachelor's degree, research direction: quality inspection of surveying and mapping products, data processing and application.