What question did this study set out to answer?

The study aims to analyze NDVI data to assess vegetation dynamics in an irrigated area over time.

Long-term NDVI series analysis in a sylvopastoral irrigated area

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Long-term analysis demonstrates NDVI dynamics in an irrigated district, highlighting irrigation's role in crop productivity.

The study aims to analyze NDVI data to assess vegetation dynamics in an irrigated area over time.
Utilized Landsat images from 1984 to 2017 for NDVI analysis.
Selected images based on low cloud cover (less than 10%).
Compared NDVI data with Sentinel 2A on specific dates.
Analyzed NDVI spatial variability using log-normal distributions.
Conducted linear regression to assess impact of growing season rainfall on NDVI.
NDVI categories were established with 95% and 75% concordance when compared to field data.
The log-normal distribution was accepted in 76% of years starting from 1998.
Irrigation volumes have increased, particularly after 2010, correlating with improved crop productivity.
Significant predictive model found for median NDVI based on irrigation volumes during deficit rainfall years.

Boussetta et al. (2026) studied this question.

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