LAI estimation through remotely sensed NDVI following hail defoliation in maize (

Extreme events such as hailstorms are a cause for concern in agriculture, leading to both economic and food supply losses. Traditional damage estimation techniques have recently been called into question since damages have rarely been quantified at the large-field scale. Damage-estimation methods used by field inspectors are complex and sometimes subjective and hardly account for damage spatial variability. In this work, a normalized difference vegetation index (NDVI)-based parametric method was applied using both unmanned aerial vehicles (UAV) and Sentinel-2 sensors to estimate the leaf area index (LAI) of maize ( The online version contains supplementary material available at 10.1007/s11119-023-09993-9.

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Conflict of interestsThe authors declare no conflict of interests.