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This study classifies vegetation dynamics in northeastern Mexico using a 25-year Enhanced Vegetation Index (EVI) time series, revealing persistent productivity gradients that static land cover maps miss. The classification, based on the ISODATA algorithm, resulted in 16 groups with a cross-validated accuracy of 75.1%, highlighting the importance of long-term minimum productivity metrics for ecological understanding. The findings suggest that integrating dynamic vegetation parameters can enhance land managem

Author
xysyleilei
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EN

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