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April 25, 2026Spatial Data Science Research and Technology

NDVI-Based Monitoring of Hayfields Use

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Authors

VPViktoriia PavlovaASAndrey Shpakov

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Overview

Randomized trial assesses NDVI effectiveness in monitoring hayfields, suggesting combined methods improve accuracy.

Key Points

  • The aim is to evaluate the efficacy of NDVI in monitoring hayfield usage through remote sensing data.
  • Selected remote sensing data for 2024 using MODIS spectroradiometer at two test sites 12 km apart.
  • Created land masks and generated datasets reflecting NDVI dynamics using Python and QGIS.
  • Utilized data on agricultural operations for harvesting hay to analyze NDVI changes.
  • Concluded NDVI alone is insufficient for determining hayfield status from remote sensing data.
  • Combining NDVI with land assignment information enhances monitoring effectiveness.
  • Data shows the potential for improved analysis in areas with low cloud cover.

Cite This Study

Pavlova et al. (2025) studied this question.

synapsesocial.com/papers/69ec5b8a88ba6daa22dad01ahttps://doi.org/10.30533/scidata-2025-16-05
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Also Consider

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  1. 1Integrating NDVI and Multisensor Data with Digital Agriculture Tools for Crop Monitoring in Southern Brazil2026
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  5. 5Multi-Year Cropland Mapping Based on Remote Sensing Data: A Case Study for the Khabarovsk Territory, Russia2024 · 2 citations