| Summary: | This study analyzes the glacier retreat of Nevado del Ruíz with 27 images from the Landsat satellite with a monitoring period that begins in 1976 and goes until 2018. The images were processed to discriminate the glacier area using the spectral index NDSI (Normalized Difference Snow Index). The glacier area was extracted using the unsupervised classification by the K-Means classifier. The glacier area obtained from each image was associated with the Oceanic Niño Index (ONI) value corresponding to the date of each image, analyzing the influence of the warm and cold cycles of the ENSO (El Niño - Southern Oscillation) in the glacier area variation. To validate this relationship, a function described by a Fourier series with an R2 of 0.76 was adjusted, the function allowed associating the glacial area variation with the ENSO oscillations. A summation function of Breasts relating the glacier area and time was also adjusted, however, this function was not sufficient to predict a date of thawing of the glacier. The analysis of the results obtained from the time series shows that the glacier is affected in ENSO periods of high temperatures (El Niño), losing a good part of its glacier area and recovering it in colder ENSO periods (La Niña), contradicting the studies define the loss of glacial area with a negative linear function. En este estudio se analiza el retroceso glaciar del nevado del Ruiz con 27 imágenes del satélite Landsat con un periodo de monitoreo que inicia en el año 1976 y va hasta 2018. Las imágenes fueron procesadas para lograr discriminar el área glaciar usando el índice espectral NDSI (normalized difference snow index). El área glaciar fue extraída mediante una clasificación no supervisada por el clasificador K-Means. Al área glaciar obtenida de cada imagen se le asoció el valor de oceanic Niño index (ONI) correspondiente a la fecha de cada imagen, analizando la influencia de los ciclos cálidos y fríos de El Niño-Oscilación del Sur (ENSO, por su sigla en inglés) en la variación de área glaciar. Para ...
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