RT Journal Article
T1 Operationalizing the use of TLS in forest inventories: the R package FORTLS
A1 Molina Valero, Juan Alberto
A1 Martínez Calvo, Adela
A1 Ginzo Villamayor, María José
A1 Novo Pérez, Manuel Antonio
A1 Álvarez González, Juan Gabriel
A1 Montes, Fernando
A1 Pérez Cruzado, César
K1 Forest monitoring
K1 Forest stands parameters
K1 LiDAR
K1 Precision forestry
K1 Remote sensing
K1 Terrestrial-based-technologies
AB Terrestrial 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 approaches
PB Elsevier
YR 2022
FD 2022
LK http://hdl.handle.net/10347/27624
UL http://hdl.handle.net/10347/27624
LA eng
NO Environmental Modelling & Software 150 (2022) 105337
NO This work was supported by the Spanish Ministry of Science and Innovation [AGL2016-76769-C2-2-R; PID2020-119204RB-C22] and Galician Regional Government [2020-CP031; ED431F 2020/02]; JAMV was supported by the Spanish Ministry of Science, Innovation and Universities through the FPU program [FPU16/03057]; AMC was supported by Galician Regional Government within the framework of the agreement “Development of the Galician continuous forest inventory” [2020-CP031]; CPC was supported by the Spanish Ministry of Science and Innovation [RYC2018-024939-I]
DS Minerva
RD 30 abr 2026