Operationalizing the Use of TLS in Forest Inventories: The R Package FORTLS

Molina-Valero, Juan Alberto; Martínez Calvo, Adela; Ginzo Villamayor, María José; Novo Pérez, Manuel Antonio; Álvarez-González, J.G.; Montes, Fernando; Pérez-Cruzado, César

Use this link to cite:

http://hdl.handle.net/2183/30821

Operationalizing the Use of TLS in Forest Inventories: The R Package FORTLS

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Molina_Valero_Juan_Alberto_2022_Operationalizing_the_use_of_TLS.pdf (13.11 MB)

Identifiers

URI: http://hdl.handle.net/2183/30821

DOI: 10.1016/j.envsoft.2022.105337

Publication date

2022

Authors

Molina-Valero, Juan Alberto

Martínez Calvo, Adela

Ginzo Villamayor, María José

Novo Pérez, Manuel Antonio

Álvarez-González, J.G.

Montes, Fernando

Pérez-Cruzado, César

Bibliographic citation

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)

Abstract

[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.