Abstract Purpose of the Review Many LiDAR remote sensing studies over the past decade
promised data fusion as a potential avenue to increase accuracy, spatial-temporal …

Close-range sensing has yet to attain the status of being a dependable source for in situ
forest information as the conventional field inventory. Each solution has its advantages and …

Information about trees in forest is essential for the assessment of the quantity and the
quality of forest ecosystem services. Recently, Deep Learning (DL) methods were regarded …

Precise positioning is fundamental to the Internet of Things (IoT) that delivers insights into
everything from large-scale business to ordinary smart life. Accurate localization and …

Ground filtering is a fundamental step in airborne LiDAR data processing toward a variety of
applications. However, existing algorithms remain tremendously challenging in complex …

Light Detection and Ranging (LIDAR) is widely acknowledged as a robust tool for monitoring
forest structure, dynamics, and changes. To achieve a high-complete forest structural model …

Terrestrial laser scanning (TLS) technology has been demonstrated to be able to measure
forest structure fast, nondestructively, and with high precision. The registration of point cloud …