Deep learning, which has exhibited considerable potential and effectiveness in forest
resource assessment, is vital for comprehending and managing forest resources and …

Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

Deriving individual tree crown (ITC) information from light detection and ranging (LiDAR)
data is of great significance to forest resource assessment and smart management. After …

Tree perception is an essential building block toward autonomous forestry operations.
Current developments generally consider input data from lidar sensors to solve forest …

Abstract Terrestrial Laser Scanning (TLS) has been increasingly used in forestry
applications including forest inventory and plant ecology. Tree biophysical properties such …

Accurate assessment of structural parameters is essential to effectively monitor the
mangrove resources. However, the extraction results of mangrove structural parameters are …

Mangrove forests provide valuable ecosystem services to coastal communities across
tropical and subtropical regions. Current anthropogenic stressors threaten these ecosystems …

Terrestrial laser scanning (TLS) is a ground-based approach to rapidly acquire 3D point
clouds via Light Detection and Ranging (LiDAR) technologies. Quantifying tree-scale …

Accurate identification and segmentation of individual tree points are crucial for assessing
forest spatial distribution, understanding tree growth and structure, and managing forest …

Neural networks have been proved to perform well in network intrusion detection. In order to
acquire better features of network traffic, more learning layers are necessarily required …