Tree Specie

Tree species research focuses on developing efficient and accurate methods for identifying and classifying tree species, primarily using remote sensing data (aerial imagery, LiDAR) and advanced computational techniques. Current research emphasizes deep learning models, including convolutional neural networks (CNNs) and vision transformers, along with tree-based algorithms like boosted trees and random forests, to analyze high-resolution imagery and point cloud data for species identification and mapping at scale. These advancements have significant implications for forestry management, biodiversity monitoring, and sustainable resource utilization, enabling more precise assessments of forest health, composition, and carbon sequestration.