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Vegetation dynamics inside Mediterranean vineyards: A dataset for tracking changes using unmanned aerial vehicles
Martin Faucher1, Guilhem Brunel2, Anice Cheraiet2
1ABSys, Univ. Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.
Data in Brief
|March 20, 2026
Summary
Service crops in vineyards offer ecosystem services but compete with grapevines. This study uses drone data to analyze management strategies, providing insights for sustainable viticulture and optimizing service crop integration.
Area of Science:
- Agricultural Science
- Ecology
- Remote Sensing
Background:
- Service crops in viticulture provide ecosystem services but can compete with grapevines for resources.
- Understanding the impact of service crop management on grapevines and soil is crucial for sustainable agriculture.
- Limited research exists on the trade-offs between ecosystem services and grapevine performance under different management strategies.
Purpose of the Study:
- To investigate the effects of service crop management strategies on soil resources and grapevine performance in Mediterranean vineyards.
- To collect and process data using Unmanned Aerial Vehicle (UAV) technology for detailed vineyard monitoring.
- To provide a comprehensive dataset for evaluating classification algorithms and exploring vegetation-related relationships.
Main Methods:
- Field sampling for inter-row vegetation biomass estimation using quadrats.
- Regular UAV flights over two Mediterranean vineyards for over four years, capturing RGB and multispectral imagery.
- Structure from Motion (SfM) photogrammetry to generate high-resolution spatial vectors, raster layers, and dense point clouds.
Main Results:
- Processed data includes vineyard characteristics like elevation, vegetation indices, reflectance, and canopy height at 5 cm resolution.
- Measurements of vegetation dry biomass, and specific dry biomass and leaf area for selected service crops were recorded.
- The dataset enables calibration/evaluation of algorithms for discriminating vines from inter-row vegetation.
Conclusions:
- The generated dataset offers valuable resources for viticulture research, particularly in understanding service crop impacts.
- It supports the development of advanced remote sensing techniques for precision agriculture in vineyards.
- Further analysis can explore correlations between vegetation indices and field-measured biomass for optimized vineyard management.
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