Boreal forests in the Russian Far East experience a rapid change of forest fire in the past decades with larger patch-size and higher intensity. These forested areas are expected to be disturbed more severely in upcoming years as a result of climate change. This paper presents an analysis of forest fire vulnerability and the area that need to be better monitoring. The distribution model was employed using the forest type and disturbance classification data(1988-1999, 1999-2010, 2010-2017) produced from eCognition9.2 along with environmental factor data from TNTmips 2018. The mapping models show vulnerability of boreal forests and predict which forest types would experience more damage from forest fire events. The models show that human infrastructure plays an important role in forest vulnerability to fire around Zeya State Nature Reserve. The forested area in which has more frequent and severed fire along with other disturbances will most likely be the most vulnerable area. The forest inside nature reserve found to have less significant impact from forest fire in the past decades while the forest outside nature reserve and in the buffer zone seem to be more vulnerable and negatively affected by the frequent forest fire events.