气候变化领域集成服务门户(CCPortal): lidR: An R package for analysis of Airborne Laser Scanning (ALS) data

CCPortal

DOI	10.1016/j.rse.2020.112061
	lidR: An R package for analysis of Airborne Laser Scanning (ALS) data
	Roussel J.-R.; Auty D.; Coops N.C.; Tompalski P.; Goodbody T.R.H.; Meador A.S.; Bourdon J.-F.; de Boissieu F.; Achim A.
发表日期	2020
ISSN	00344257
卷号	251
英文摘要	Airborne laser scanning (ALS) is a remote sensing technology known for its applicability in natural resources management. By quantifying the three-dimensional structure of vegetation and underlying terrain using laser technology, ALS has been used extensively for enhancing geospatial knowledge in the fields of forestry and ecology. Structural descriptions of vegetation provide a means of estimating a range of ecologically pertinent attributes, such as height, volume, and above-ground biomass. The efficient processing of large, often technically complex datasets requires dedicated algorithms and software. The continued promise of ALS as a tool for improving ecological understanding is often dependent on user-created tools, methods, and approaches. Due to the proliferation of ALS among academic, governmental, and private-sector communities, paired with requirements to address a growing demand for open and accessible data, the ALS community is recognising the importance of free and open-source software (FOSS) and the importance of user-defined workflows. Herein, we describe the philosophy behind the development of the lidR package. Implemented in the R environment with a C/C++ backend, lidR is free, open-source and cross-platform software created to enable simple and creative processing workflows for forestry and ecology communities using ALS data. We review current algorithms used by the research community, and in doing so raise awareness of current successes and challenges associated with parameterisation and common implementation approaches. Through a detailed description of the package, we address the key considerations and the design philosophy that enables users to implement user-defined tools. We also discuss algorithm choices that make the package representative of the ‘state-of-the-art’ and we highlight some internal limitations through examples of processing time discrepancies. We conclude that the development of applications like lidR are of fundamental importance for developing transparent, flexible and open ALS tools to ensure not only reproducible workflows, but also to offer researchers the creative space required for the progress and development of the discipline. © 2020 The Author(s)
英文关键词	Airborne laser scanning (ALS); Forestry; LiDAR; lidR; R; Software
语种	英语
scopus关键词	C++ (programming language); Ecology; Forestry; Large dataset; Laser applications; Life support systems (spacecraft); Natural resources management; Open systems; Remote sensing; Timber; Vegetation; Airborne Laser scanning; Cross-platform software; Free and open source softwares; Implementation approach; Remote sensing technology; Research communities; Structural descriptions; Three-dimensional structure; Open source software; algorithm; data processing; forest ecosystem; laser method; parameterization; philosophy; remote sensing; satellite data; software
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179100
作者单位	Centre de recherche sur les matériaux renouvelables, Département des sciences du bois et de la forêt, Université Laval, Québec, QC G1V 0A6, Canada; School of Forestry, Northern Arizona University, United States; Faculty of Forestry, University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada; Direction des inventaires forestiers, Ministère des Forêts, de la Faune et des Parcs du QuébecQC G1H 6R1, Canada; UMR TETIS, INRAE, AgroParisTech, CIRAD, CNRS, Université Montpellier, Montpellier, France
推荐引用方式 GB/T 7714	Roussel J.-R.,Auty D.,Coops N.C.,et al. lidR: An R package for analysis of Airborne Laser Scanning (ALS) data[J],2020,251.
APA	Roussel J.-R..,Auty D..,Coops N.C..,Tompalski P..,Goodbody T.R.H..,...&Achim A..(2020).lidR: An R package for analysis of Airborne Laser Scanning (ALS) data.Remote Sensing of Environment,251.
MLA	Roussel J.-R.,et al."lidR: An R package for analysis of Airborne Laser Scanning (ALS) data".Remote Sensing of Environment 251(2020).