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This invention proposes an interactive tree height development trend prediction method and system at the single-tree scale, relating to the fields of remote sensing information processing and forest resource monitoring. Addressing the problems of existing technologies, such as time-consuming and labor-intensive forest surveys, difficulties in large-scale implementation in areas with significant topographic relief, limited transportation, or scattered tree distribution, and challenges in meeting the needs for refined and continuous monitoring, this invention provides a technical solution at the single-tree scale. It integrates tree species information, age inversion results, and growth models, allowing users to predict the tree height development trend of target trees through spatial interaction. This enables refined analysis and dynamic management of the tree growth process. It effectively avoids the averaging problem associated with traditional plot-scale models and significantly improves the scientific rigor and accuracy of single-tree resource management and forestry management decisions.