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September 10, 2025Scientific ReportsOpen Access

Refining grapevine vegetation status by utilizing grassland and remote sensing data

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Authors

TZTibor ZsigmondEötvös Loránd UniversityZBZsófia BakacsiInstitute for Soil SciencesÁHÁgota HorelInstitute for Soil Sciences

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Overview

Observational analysis correlates vegetation indices in vineyards and grasslands, suggesting enhanced NDVI accuracy.

Key Points

  • Grapevine vegetation indices were refined using grassland remote sensing data and machine learning techniques.
  • Significant differences in vegetation indices were noted between grassland and vineyard sites, correlating with soil chemistry.
  • Normalized Difference Vegetation Index showed moderate correlation with field measurements, emphasizing remote sensing’s value.
  • Random forest models using grassland data predicted grapevine vegetation indices more accurately than basic models.

Cite This Study

Zsigmond et al. (2025) studied this question.

synapsesocial.com/papers/68c1d5fe54b1d3bfb60f9234https://doi.org/10.1038/s41598-025-16967-6
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