Testing the accuracy and characteristics of data acquired using DJI Zenmuse L1 and L2 lidar systems and photogrammetric data acquired using DJI Zenmuse P1 in a quarry environment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F25%3A00386750" target="_blank" >RIV/68407700:21110/25:00386750 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1080/22797254.2025.2595361" target="_blank" >https://doi.org/10.1080/22797254.2025.2595361</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/22797254.2025.2595361" target="_blank" >10.1080/22797254.2025.2595361</a>

Result language

angličtina

Original language name

Testing the accuracy and characteristics of data acquired using DJI Zenmuse L1 and L2 lidar systems and photogrammetric data acquired using DJI Zenmuse P1 in a quarry environment

Original language description

The present study aimed to compare the performance of the DJI Zenmuse L2 lidar scanner for unmanned aerial vehicles (UAV) with that of the previous generation of the same system (DJI Zenmuse L1) and a cloud derived by photogrammetry (DJI Zenmuse P1) in a quarry area. A reference cloud was acquired using a terrestrial laser scanner Leica P40. The results show a major improvement in the L2 accuracy compared with the older L1 scanner, particularly where the overall accuracy after smoothing (RMSES = 0.03 m for L2, compared to 0.05 m for L1) and noise (RMSENOISE of 0.026 and 0.045 m for L2 and L1) are concerned. Color displacement, however, remained practically identical between L1 and L2, reaching a maximum of almost 0.35 m. The accuracy of the photogrammetric point cloud was still somewhat better than the new generation L2 scanner (RMSEO = 0.017 m); however, where practical applicability is concerned, the accuracy provided by the new generation lidar scanner is sufficient for a vast majority of applications and considering other advantages of lidar over photo-grammetry, the new generation scanning technology has the potential to replace photogrammetry in the acquisition of point clouds using UAV in the foreseeable future.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10500 - Earth and related environmental sciences

Project

<a href="/en/project/EH23_020%2F0008487" target="_blank" >EH23_020/0008487: Innovative methods of materials diagnostics and monitoring of engineering infrastructure to increase its durability and service time (INODIN)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

European Journal of Remote Sensing

ISSN

2279-7254

e-ISSN

2279-7254

Volume of the periodical

58

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

16

Pages from-to

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UT code for WoS article

001634143300001

EID of the result in the Scopus database

2-s2.0-105024192163