This study presents an integrated multi-platform LiDAR methodology for the dendrological inventory and heritage tree identification in the historical park of the Teleki-Kemény Castle estate in Jucu de Sus, Cluj County, Romania. Two complementary acquisition systems were deployed: a DJI Matrice 350 RTK equipped with the Zenmuse L2 scanner for airborne laser scanning (ALS) across the full 6.18 ha study area, and a CHCNav RS10 SLAM handheld system (hereafter referred to as the TLS acquisition component, processed via the TLS Forest module in LiDAR360) for ground-level acquisition in six representative sample plots (~500 m² each). All data were corrected through Post-Processed Kinematic (PPK) using a CHCNav I93 fixed GNSS base station and referenced in the Stereo70 coordinate system (EPSG:3844). Processing was performed in LiDAR360 v6.0 (GreenValley International). After geometric alignment and a six-class point cloud classification combining progressive TIN filtering, Cloth Simulation Filter (CSF), Deep Learning-assisted segmentation, and manual refinement, a total of 1,890 individual trees and shrubs were identified across the site. Six representative sample plots were processed using the TLS Forest segmentation algorithm (LiDAR360), yielding individual-level dendrometric measurements — total height (H), trunk diameter at 1.3 m (DBH), and crown diameter (Dc) — for 351 individuals. Thirty remarkable trees were georeferenced within the sample plots, and 37 additional heritage-candidate trees were mapped at site level, totalling 67 heritage candidates. The most structurally significant individual recorded attained H = 24.6 m, DBH = 94.1 cm, and Dc = 17.7 m. Complementary floristic analysis (three Braun-Blanquet relevés, 100 m² each) identified the vegetation as belonging to the association Symphyto officinalis–Anthriscetum sylvestris Passarge 1975, with Fraxinus excelsior and Acer campestre as dominant arboreal species. The integrated ALS–TLS workflow proved effective for precise digital inventory at the individual tree level, supporting conservation planning, structural risk assessment, and long-term monitoring of a historically significant urban park.
