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July 26, 2026PlantsOpen Access

Sentinel-2 and Unmanned Aerial Vehicle (UAV) Imagery for Irrigation Scheduling in Fodder Maize: A Comparative Remote Sensing Approach

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Authors

NLNuria Aide López-HernándezVRVíctor Manuel Rodríguez-MorenoRGRicardo Israel Ramírez Gottfried

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Overview

Randomized trial compares satellite and UAV imagery for irrigation scheduling in forage maize, highlighting trade-offs in efficiency and yield.

Key Points

  • This research aims to evaluate and compare the effectiveness of satellite- and UAV-derived NDVI models in estimating crop water requirements for irrigation scheduling in forage maize.
  • Kc–NDVI models developed during the 2023 growing season and validated in 2024.
  • Field tests conducted on two maize hybrids (N83N5, Matador) under three irrigation strategies: conventional, satellite-based, and UAV-based.
  • Calibration accuracy of NDVI models assessed, revealing strong correlations with actual water requirements.
  • UAV-derived model showed higher calibration accuracy (R2 = 0.9414) compared to the satellite model (R2 = 0.8278).
  • UAV-based irrigation reduced water use by 23–30%, but led to decreased crop growth and forage yield.
  • Satellite-based scheduling achieved the highest forage yield (59.8 t ha−1) while improving forage quality.

Cite This Study

López-Hernández et al. (2026) studied this question.

synapsesocial.com/papers/6a65a7e0d3aea3239cd7874chttps://doi.org/10.3390/plants15152265
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