Vegetation coverage patterns in the “mountain–basin” system of arid regions: Driving force contribution, non-stationarity, and threshold effects

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103084 - 103084

Published: Feb. 1, 2025

Language: Английский

Enhancing Forest Structural Parameter Extraction in the Greater Hinggan Mountains: Utilizing Airborne LiDAR and Species-Specific Tree Height–Diameter at Breast Height Models

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 457 - 457

Published: March 4, 2025

Forests, being the largest and most intricate terrestrial ecosystems, play an indispensable role in sustaining ecological balance. To effectively monitor forest productivity, it is imperative to accurately extract structural parameters such as tree height diameter at breast (DBH). Airborne LiDAR technology, which possesses capability penetrate canopies, has demonstrated remarkable efficacy extracting these parameters. However, current research rarely models different species separately, particularly lacking comparative evaluations of height-DBH for diverse species. In this study, we chose sample plots within Bila River basin, nestled Greater Hinggan Mountains Inner Mongolia Autonomous Region, area. Utilizing both airborne field survey data, individual positions heights were extracted based on canopy model (CHM) normalized point cloud (NPC). Six selected fitting validation, tailored dominant plots. The results revealed that CHM-based method achieved a lower RMSE 1.97 m, compared 2.27 m with NPC-based method. Both methods exhibited commendable performance average heights. showed more pronounced deficiency capturing information. precision grid interpolation density emerged pivotal factors influencing accuracy methods. Among six models, multiexponential superior oak ”birch–poplar” trees, R2 values 0.479 0.341, respectively. This study furnishes scientific foundation boreal ecosystems.

Language: Английский

Urban green space vegetation height modeling and intelligent classification based on UAV multi-spectral and oblique high-resolution images

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128785 - 128785

Published: March 1, 2025

Language: Английский