A machine learning and remote sensing approach for accurate forest sub-compartment level vegetation cover change monitoring.

Front Plant Sci · 2026 · PMC12883800 · PMID 41669381

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highly significantno p-value reported

The findings reveal that texture metrics including ENT, MEAN, and ENE are highly significant, collectively accounting for 85.6% of the cumulative importance.

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