The El Niño phenomenon is regarded as a severe weather occurrence due to its capacity to precipitate substantial alterations in meteorological conditions across diverse geographical regions worldwide. In the context of Peru, the phenomenon is marked by an increase in sea surface temperature along the northern coastline, precipitating precipitation and subsequent flooding, which adversely impact various productive sectors, with agriculture being particularly vulnerable. The present study set out to examine changes in agricultural areas during the year following the occurrence of both the 2017 and 2023 El Niño events and a year later in a Chulucanas district on the Peru North Coast. The study employed the sea surface temperature through the El Niño Coastal Index and the Normalized Difference Vegetative Index (NDVI) map distribution as the study variables. The findings of this study indicate that remote sensing technology has the potential to provide a comprehensive overview of the state of vegetation in cropland areas, which could be of significant benefit to individuals and communities directly affected by climatic events, particularly in the Peruvian context.