Detection of maximum greenness in maize (Zea mays) using MODIS time series data
DOI:
https://doi.org/10.26423/2qzfg896Keywords:
mean year, NDVI, remote sensing, vegetation dynamicsAbstract
The aim of this research was to detect the moment of maximum greenness of maize in the parish of Colonche, Ecuador, using time series of the Normalized Difference Vegetation Index obtained from the MODIS sensor. Images from the MOD09A1 product corresponding to the period 2001–2023 were processed, applying the Savitzky–Golay filter to reduce noise and preserve the phenological structure. Subsequently, the series were analyzed using the autocorrelation function, the Ljung–Box Q test, and the periodogram, determining the mean year using Buys–Ballot tables. The results showed a well-defined seasonal pattern, with a peak of greenness between March and April, corresponding to the maximum vegetative vigor of the crop (0,64). The method allowed for the accurate identification of the phenological phases of maize, demonstrating the usefulness of NDVI and MODIS data for regional agricultural monitoring.
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