Estimating wood density is essential for attaining SDG 13’s goal of combating climate change, especially in reducing greenhouse gas emissions and promoting sustainable forest management (SFM). Since biomass is directly related to the amount of carbon stored in trees, accurate estimates of wood density (WD) led to more precise calculations of carbon storage. By understanding the density of different tree species, forest managers can better estimate the total carbon sequestration potential of a forest. This information is vital for forest carbon accounting efforts, which are used to track progress towards climate targets. A Resistograph is a non-destructive device for determining the density of wood, and it provides a reasonably accurate estimate of wood density. This study examined the Resistograph technology by estimating the density of Eucalyptus tree wood using amplitude as the primary variable resistance. Therefore, the predicted WD value from the Resistograph-generated variables was obtained and compared to the actual WD value from tree wood cores. The positive, strong correlations (r = 0.791) between the predicted and core WD with significant differences (p = < 0.05) indicate that the Resistograph is reliable for estimating WD without significant tree destruction.