Operationalizing the Use of TLS in Forest Inventories: The R Package FORTLS
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Operationalizing the Use of TLS in Forest Inventories: The R Package FORTLSAutor(es)
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2022Cita bibliográfica
Juan Alberto Molina-Valero, Adela Martínez-Calvo, María José Ginzo Villamayor, Manuel Antonio Novo Pérez, Juan Gabriel Álvarez-González, Fernando Montes, César Pérez-Cruzado, Operationalizing the use of TLS in forest inventories: The R package FORTLS,
Environmental Modelling & Software, Volume 150, 2022, 105337, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2022.105337.
(https://www.sciencedirect.com/science/article/pii/S1364815222000433)
Resumen
[Abstract] 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.
Palabras clave
Forest monitoring
Forest stands parameters
LiDAR
Precision forestry
Remote sensing
Terrestrial-based-technologies
Forest stands parameters
LiDAR
Precision forestry
Remote sensing
Terrestrial-based-technologies
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