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espanolRESUMEN En el marco de una busqueda continua de innovaciones tecnologicas que permitan a los fruticultores practicar una produccion fruticola mas competitiva y sostenible, el uso de indices de vegetacion derivados de satelites podria ser utilizado como herramienta para apoyar la toma de decisiones por parte de tecnicos y planificadores del territorio. Los objetivos del presente estudio fueron caracterizar las etapas fenologicas de los cerezos (Prunus avium L.) en la region del Maule-Chile utilizando observaciones de campo y evaluar la capacidad de las imagenes satelitales multiespectrales (Landsat ETM +) y los indices vegetativos derivados (NDVI, SAVI), como herramientas para la identificacion remota de las distintas etapas fenologicas en cerezo. La estimacion de las etapas de transicion fenologica en cerezos, estimadas a partir de los datos de Landsat 7 (ETM +), no coinciden con sufiente robustez con las mediciones in situ de fenologia medidas en los diferentes sitios. Los indices de vegetacion (NDVI, SAVI) derivados de Landsat 7 (ETM +), permiten discriminar solo cambios gruesos asociados con un aumento y leugo disminucion del verdor en el follaje, pero no permiten discriminar entre estados cercanos de fenologia en los que la proporcion de follaje es solo ligeramente diferente. En este estudio, el numero de dias acumulados a partir del primero de julio (Hemisferio Sur) tiende a ser un indicador menos variable que los Grado-dia (GDD) para predecir la ocurrencia de diferentes etapas fenologicas en los cerezos. EnglishABSTRACT In the framework of a continuous search for technological innovations that allow fruit growers to practice a more competitive and sustainable fruit production, satellite-derived vegetation indexes could be used as tools to support the decision-making processes of technicians and territory planners. The objectives of the present study were to characterize phenological stages of cherry trees (Prunus avium L.) in the Maule region of Chile using field observations and to evaluate the capacity of multispectral satellite imagery (Landsat ETM+) and the derived vegetative indexes (NDVI, SAVI), as tools for remotely identifying these phenological stages in cherry trees. Phenological transition stages in cherry trees, estimated from Landsat 7 (ETM+) data did not agree with in situ measurements of phenology made at the different sites. Landsat 7 (ETM+) derived vegetation indices (NDVI, SAVI) could discriminate only gross changes associated with an increase and then a decrease of canopy greenness in cherry trees, but could not discriminate between successive phenological states in which the proportion of foliage is only slightly different. The number of days after the first of July (Southern Hemisphere) tended to be a less variable indicator than growing degree-days (GDD) for predicting the occurrence of different phenological stages in cherry trees.

Studying phenological stages of cherry (Prunus avium L.) using field observations and satellite-derived vegetation indexes