Molina Valero, Juan AlbertoMartínez Calvo, AdelaGinzo Villamayor, María JoséNovo Pérez, Manuel AntonioÁlvarez González, Juan GabrielMontes, FernandoPérez Cruzado, César2022-03-072022-03-072022Environmental Modelling & Software 150 (2022) 105337http://hdl.handle.net/10347/27624Terrestrial Laser Scanning (TLS) devices show great potential for application in Forest Inventories (FIs) as they are capable of registering high resolution point clouds rapidly and automatically. Nevertheless, operational use of TLS for FI purposes has been hampered by the absence of algorithms for processing the acquired data, particularly in the single-scan mode, as occlusions result in loss of information. The R package FORTLS has been developed to overcome this obstacle, as it automates the processing of single-scan TLS point cloud data for forestry purposes and includes several features that deal with occlusions. FORTLS makes use of the main advantage of the single-scan scenario in FI, thus improving the efficiency of data acquisition and post-processing. All of these features of the FORTLS package are potentially valuable for the operational use of TLS in FIs, in combination with inference techniques derived from model-based and model-assisted approacheseng© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)Atribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Forest monitoringForest stands parametersLiDARPrecision forestryRemote sensingTerrestrial-based-technologiesjournal article10.1016/j.envsoft.2022.1053371364-8152open access