| Summary: | The effects that fires have on forest ecosystems are variable, depending on various factors, including the severity of the fire. Which, in turn, affects your recovery. However, evaluating fire-affected areas directly in the field involves high investment of resources that, along with time, are generally limited. However, for the planning of management and restoration strategies it is necessary to have knowledge of the impact of fire. For this, remote sensors are a practical tool for the evaluation of large areas, or inaccessible areas, impacted by forest fires. Whose use is increasing, following different evaluation perspectives, such as the infrared spectrum, the detection of vegetation, ash location, etc. So to know which is the best alternative in the study of forest fires, it is necessary to know the full range of possibilities and thus be able to choose the most convenient one. Due to this, in this work a review is made of different evaluation proposals of areas impacted by forest fires through remote sensors. Which are mainly defined in a series of spectral indices, based on which, directly or indirectly, it is intended not only to locate and size forest fires, but, in some cases, to determine the level of severity. Thus, in this document the main proposals are grouped, based on their objectives for detecting impacted areas: vegetation, soil, water, burned area and radar. Los efectos que tienen los incendios en los ecosistemas forestales son variables, dependiendo de diversos factores entre los cuales se encuentra la severidad del fuego. Lo cual, a su vez, repercute en su recuperación. Sin embargo, evaluar áreas afectadas por fuego directamente en campo implica alta inversión de recursos que, junto con el tiempo, son generalmente limitados. No obstante, para la planeación de las estrategias de manejo y de restauración es necesario tener conocimiento del impacto del fuego. Para esto, los sensores remotos son una herramienta práctica para la evaluación de grandes áreas, o áreas inaccesibles, impactadas por ...
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