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This is a Quantitative Study study.

October 3, 2025Remote SensingOpen Access

Spatiotemporal Analysis of Vineyard Dynamics: UAS-Based Monitoring at the Individual Vine Scale

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A strong correlation (R2 = 0.73) was observed between NDRE values and actual vine yield, indicating reliable productivity assessment.
The integration of UAS imagery and 3D point clouds allows for precise vine identification without pre-defined structures, facilitating targeted interventions.
Local Indicators of Spatial Association (LISA) were used to detect spatial clusters and outliers, improving the understanding of vine health across the vineyard.
The workflow enables automatic exclusion of non-vine elements, ensuring accurate assessment of vine vigour throughout critical phenological stages.

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This analysis demonstrates spatial techniques for monitoring vine vigour in vineyards, suggesting improvements in viticultural management.

Ruess et al. (2025) studied this question.

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This analysis demonstrates spatial techniques for monitoring vine vigour in vineyards, suggesting improvements in viticultural management.