Forest Environment

Forest environment research focuses on understanding and monitoring forest ecosystems using diverse data sources, including satellite imagery (multispectral, hyperspectral, SAR), LiDAR, and ground-based measurements. Current research emphasizes the development and application of advanced machine learning models, such as deep learning architectures (U-Net, transformers, CNNs) and ensemble methods (random forests, LightGBM), for tasks like biomass estimation, canopy height mapping, tree species classification, and forest change detection. These advancements are crucial for improving forest management practices, carbon accounting, biodiversity conservation, and addressing the challenges of climate change.