Terrestrial Laser Scanning (TLS): state-of-the-art and applications in forest plantations
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Abstract
In forest inventories, obtaining accurate data from forest plantations is important for estimating the production of these areas. In this context, remote sensing plays a relevant role in forest inventory activities. TLS uses LiDAR technology to collect field data and facilitate rapid acquisition of this information. Therefore, this study aimed to conduct a literature review on the use of TLS technology in forest plantations over the last 10 years (2012–2022). In the bibliographic survey conducted during this period, 19 scientific publications published in 9 journals were selected. The year with the highest number of publications was 2022 (42.10%). In total, 12 different TLS sensors were identified among the analyzed studies, with the RIEGL VZ-400 being the most frequently used. In general, the studies addressed topics related to 3D point cloud registration, extraction of dendrometric metrics, and application of TLS in forest environments. The results indicated that the adoption of multiple scanning positions contributes to mitigating the effects of occlusion caused by tree density and understory vegetation, resulting in higher tree detection rates and more reliable estimates of DBH and tree height.
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