As a core component of terrestrial ecosystems, forests play a crucial role in global ecological balance, climate regulation and biodiversity conservation. In this paper, the spatial distribution characteristics and dynamic changes of forest resources in Jiangxi Province were studied through multi-source remote sensing data. The methodology utilizes spatial distribution pattern analysis, Gini coefficient, kernel density estimation method, and buffer analysis method, and combines with the forest productivity remote sensing model (VPM) to analyze the distribution characteristics of forest resources in the province in depth. The results showed that the forest resources in Jiangxi Province showed obvious geographical differences, and the distribution types in different areas ranged from aggregated to stochastic. According to the analysis, the north and west of Gan are randomly distributed, while the central area of Gan is of aggregated type distribution. The dynamic monitoring results showed that the overall forest area in Jiangxi Province showed an increasing trend between 2014 and 2024, but the rate of forest loss was still high, especially in areas with low rainfall. Specifically, arid regions with an average annual rainfall of less than 400 millimeters have a forest loss rate of 43.81%, whereas wet regions have a lower loss rate of 25.43%. These findings provide important data support for rational conservation and utilization of forest resources.
