Abstract
Since its emergence in the 1960s, light detection and ranging (LiDAR) has been widely applied in various fields, including forestry and the construction industry, because of its unique advantages over traditional optical measurement. These include high precision, spatial and temporal resolution, and resistance to interference such as clouds, as LiDAR does not rely on solar radiation. With the development of technology, new and upgraded LiDAR hardware is emerging, such as solid-state LiDAR. The availability and accumulation of LiDAR data acquired from different platforms, together with other remote sensing data, pose new challenges for data fusion, processing, and information extraction. However, LiDAR also provides numerous new opportunities in the era of big data. LiDAR applications in forest ecological studies will be promoted with hardware development and the fusion of multisource data in the future.
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