This articles deals with the progress of the results of the investigations that Cenipalma has carried out with the aim of establishing predictive behavioral spatial - temporal models of phenomena related to the management of vegetation sanitation such as the harm caused by defoliators or the presence of the Bud Rot complex (BR) through the digital processing of images obtained by remote satellite sensors. The study was carried out in the plantations of the Central Palm Zone located in the area of Puerto Wilches. The algorithm developed crosses the information obtained from the MODIS (Moderate Resolution Imaging Spectroradiometer) sensors product MOD09A1 (Land Surface Reflectance) with the information from the recorded histories of the defoliator insect attack in 2007, classifying zones that differentiate in frequency of defoliator attacks. In order to characterize the patterns of the spectral curve the values of the spectral wavelengths associated with obtaining vegetation indices were identified and their temporal series were analyzed, which allows the identification of defoliation events and the interpretation of results in terms of defoliation levels. This current work proposes a methodology for the monitoring of this sanitary problem in an oil palm plantation on a regional level. Thus, crossing the phenological state of the crop with the information in the near infrared spectrum clears the way for identifying the different phases in the crop's development. In this way, the laboratory work projects the studies in the intermediate and far infrared spectrum with a greater multi-spectral resolution, which complements the signature at the scale of each oil palm.