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  "Title": "Automatic Processing of Terrestrial-Based Technologies Point\nCloud Data for Forestry Purposes",
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  "Date": "2026-4-19",
  "Authors@R": "c(\nperson(\"Juan Alberto\", \"Molina-Valero\", role = c(\"aut\", \"cph\", \"cre\"),\nemail = \"jamolinavalero@gmail.com\"),\nperson(\"Adela\", \"Martínez-Calvo\", role = c(\"aut\", \"com\")),\nperson(\"Juan Gabriel\", \"Álvarez-González\", role = c(\"aut\", \"ths\")),\nperson(\"Fernando\", \"Montes\", role = \"aut\"),\nperson(\"César\", \"Pérez-Cruzado\", role = c(\"aut\", \"ths\")))",
  "Author": "Juan Alberto Molina-Valero [aut, cph, cre], Adela\nMartínez-Calvo [aut, com], Juan Gabriel Álvarez-González [aut,\nths], Fernando Montes [aut], César Pérez-Cruzado [aut, ths]",
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  "Description": "Process automation of point cloud data derived from\nterrestrial-based technologies such as Terrestrial Laser\nScanner (TLS) or Mobile Laser Scanner. 'FORTLS' enables (i)\ndetection of trees and estimation of tree-level attributes\n(e.g. diameters and heights), (ii) estimation of stand-level\nvariables (e.g. density, basal area, mean and dominant height),\n(iii) computation of metrics related to important forest\nattributes estimated in Forest Inventories at stand-level, and\n(iv) optimization of plot design for combining TLS data and\nfield measured data. Documentation about 'FORTLS' is described\nin Molina-Valero et al. (2022,\n<doi:10.1016/j.envsoft.2022.105337>).",
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        "FORTLS"
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