MyLiDAR: Improving LiDAR data processing and analysis with a comprehensive open-source QGIS plugin

Light Detection and Ranging (LiDAR) technology has experienced a progressive increase in popularity over the past decade in the field of geoscience, largely due to its widespread use in applications ranging from basic cartography and autonomous navigation systems to fields of expertise such as precision agriculture, environmental management, and road safety, among others. Despite its growing adoption and relevance, there is a lack of free and open-source applications that facilitate LiDAR data management, from processing to visualization and metric data generation. This work proposes a free-to-use suite of tools to complement the functions of current applications involved in the processing and visualization of LiDAR points in order to optimize user workflows. Its implementation consists of a QGIS add-on, given the native functionalities already present in the selected GIS and its open-source nature. Likewise, it will be valuable for testing its functionality on sample point clouds and gathering feedback on its performance.

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Publication Details

Journal
Earth Science Informatics
Published
2026-04-22
DOI
https://doi.org/10.1007/s12145-026-02126-6
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

MyLiDAR: Improving LiDAR data processing and analysis with a comprehensive open-source QGIS plugin

Aurora Cuartero, Pablo G. Rodríguez, Fernando Broncano
Earth Science Informatics
Remote Sensing and LiDAR Applications
article

MyLiDAR: Improving LiDAR data processing and analysis with a comprehensive open-source QGIS plugin

Aurora Cuartero, Pablo G. Rodríguez, Fernando Broncano
article en

Abstract

Light Detection and Ranging (LiDAR) technology has experienced a progressive increase in popularity over the past decade in the field of geoscience, largely due to its widespread use in applications ranging from basic cartography and autonomous navigation systems to fields of expertise such as precision agriculture, environmental management, and road safety, among others. Despite its growing adoption and relevance, there is a lack of free and open-source applications that facilitate LiDAR data management, from processing to visualization and metric data generation. This work proposes a free-to-use suite of tools to complement the functions of current applications involved in the processing and visualization of LiDAR points in order to optimize user workflows. Its implementation consists of a QGIS add-on, given the native functionalities already present in the selected GIS and its open-source nature. Likewise, it will be valuable for testing its functionality on sample point clouds and gathering feedback on its performance.

Earth Science InformaticsVol. 19(6)
Universidad de Extremadura (ES)
Universidad de Extremadura
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Remote Sensing and LiDAR Applications
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