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Spatiotemporal patterns, sustainability, and primary drivers of NDVI-derived vegetation dynamics (2003–2022) in Nepal

Environmental Monitoring and Assessment(2024)

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Abstract
Understanding the vegetation dynamics and their drivers in Nepal has significant scientific reference value for implementing sustainable ecological policies. This study provides a comprehensive analysis of the spatio-temporal variations in vegetation cover in Nepal from 2003 to 2022 using MODIS NDVI data and explores the effects of climatic factors and anthropogenic activities on vegetation. Mann–Kendall test was used to assess the significant trend in NDVI and was integrated with the Hurst exponent to predict future trends. The driving factors of NDVI dynamics were analyzed using Pearson’s correlation, partial derivative, and residual analysis methods. The results indicate that over the last 20 years, Nepal has experienced an increasing trend in NDVI at 0.0013 year−1, with 80
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Key words
Remote sensing,NDVI,Hurst exponent,Residual trend analysis,Nepal
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