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Journal Article

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

Pablo Fernández-González; Aurora Cuartero; Fernando Broncano; Pablo G. Rodríguez
Earth Science Informatics · Vol. 19, Issue 6 · 2026

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.

Bibliographic Information

JournalEarth Science Informatics
PublisherSpringer
Publication Date2026-06-01
Publication Year2026
Volume19
Issue6
Document TypeJournal Article
Print ISSN1865-0473
eISSN1865-0481
DOI10.1007/s12145-026-02126-6

Access Information

NARA Access Coverage2008-01-01~Current
Journal Homepagehttps://www.springer.com/journal/12145
Publisher PageOpen Publisher Page
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