Quality Control of Outsourced LiDAR Data Acquired with a UAV: A Case Study

Over the last few decades, we witnessed a revolution in acquiring very high resolution and accurate geo-information. One of the reasons was the advances in photonics and LiDAR, which had a remarkable impact in applications requiring information with high accuracy and/or elevated completeness, such a...

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Main Authors: Luísa Gomes Pereira, Paulo Fernandez, Sandra Mourato, Jorge Matos, Cedric Mayer, Fábio Marques
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/13/3/419
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author Luísa Gomes Pereira
Paulo Fernandez
Sandra Mourato
Jorge Matos
Cedric Mayer
Fábio Marques
author_facet Luísa Gomes Pereira
Paulo Fernandez
Sandra Mourato
Jorge Matos
Cedric Mayer
Fábio Marques
author_sort Luísa Gomes Pereira
collection DOAJ
description Over the last few decades, we witnessed a revolution in acquiring very high resolution and accurate geo-information. One of the reasons was the advances in photonics and LiDAR, which had a remarkable impact in applications requiring information with high accuracy and/or elevated completeness, such as flood modelling, forestry, construction, and mining. Also, miniaturization within electronics played an important role as it allowed smaller and lighter aerial cameras and LiDAR systems to be carried by unmanned aerial vehicles (UAV). While the use of aerial imagery acquired with UAV is becoming a standard procedure in geo-information extraction for several applications, the use of LiDAR for this purpose is still in its infancy. In several countries, companies have started to commercialize products derived from LiDAR data acquired using a UAV but not always with the necessary expertise and experience. The LIDAR-derived products’ price has become very attractive, but their quality must meet the contracted specifications. Few studies have reported on the quality of outsourced LiDAR data acquired with UAV and the problems that need to be handled during production. There can be significant differences between the planning and execution of a commercial project and a research field campaign, particularly concerning the size of the surveyed area, the volume of the acquired data, and the strip processing. This work addresses the quality control of LiDAR UAV data through outsourcing to develop a modelling-based flood forecast and alert system. The contracted company used the Phoenix Scout-16 from Phoenix LiDAR Systems, carrying a Velodyne VLP-16 and mounted on a DJI Matrice 600 PRO Hexacopter for an area of 560 ha along a flood-prone area of the Águeda River in Central Portugal.
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spelling doaj.art-6693bb1baa9c4cabbf7a8d437a7f90a32023-12-03T14:43:06ZengMDPI AGRemote Sensing2072-42922021-01-0113341910.3390/rs13030419Quality Control of Outsourced LiDAR Data Acquired with a UAV: A Case StudyLuísa Gomes Pereira0Paulo Fernandez1Sandra Mourato2Jorge Matos3Cedric Mayer4Fábio Marques5Águeda School of Technology and Management, Aveiro University, 3754-909 Águeda, PortugalPolytechnic Institute of Castelo Branco, 6001-909 Castelo Branco, PortugalMED—Mediterranean Institute for Agriculture, Environment and Development, Évora University, 7006-554 Évora, PortugalÁgueda School of Technology and Management, Aveiro University, 3754-909 Águeda, PortugalÁgueda School of Technology and Management, Aveiro University, 3754-909 Águeda, PortugalÁgueda School of Technology and Management, Aveiro University, 3754-909 Águeda, PortugalOver the last few decades, we witnessed a revolution in acquiring very high resolution and accurate geo-information. One of the reasons was the advances in photonics and LiDAR, which had a remarkable impact in applications requiring information with high accuracy and/or elevated completeness, such as flood modelling, forestry, construction, and mining. Also, miniaturization within electronics played an important role as it allowed smaller and lighter aerial cameras and LiDAR systems to be carried by unmanned aerial vehicles (UAV). While the use of aerial imagery acquired with UAV is becoming a standard procedure in geo-information extraction for several applications, the use of LiDAR for this purpose is still in its infancy. In several countries, companies have started to commercialize products derived from LiDAR data acquired using a UAV but not always with the necessary expertise and experience. The LIDAR-derived products’ price has become very attractive, but their quality must meet the contracted specifications. Few studies have reported on the quality of outsourced LiDAR data acquired with UAV and the problems that need to be handled during production. There can be significant differences between the planning and execution of a commercial project and a research field campaign, particularly concerning the size of the surveyed area, the volume of the acquired data, and the strip processing. This work addresses the quality control of LiDAR UAV data through outsourcing to develop a modelling-based flood forecast and alert system. The contracted company used the Phoenix Scout-16 from Phoenix LiDAR Systems, carrying a Velodyne VLP-16 and mounted on a DJI Matrice 600 PRO Hexacopter for an area of 560 ha along a flood-prone area of the Águeda River in Central Portugal.https://www.mdpi.com/2072-4292/13/3/419UAVLiDARquality control
spellingShingle Luísa Gomes Pereira
Paulo Fernandez
Sandra Mourato
Jorge Matos
Cedric Mayer
Fábio Marques
Quality Control of Outsourced LiDAR Data Acquired with a UAV: A Case Study
Remote Sensing
UAV
LiDAR
quality control
title Quality Control of Outsourced LiDAR Data Acquired with a UAV: A Case Study
title_full Quality Control of Outsourced LiDAR Data Acquired with a UAV: A Case Study
title_fullStr Quality Control of Outsourced LiDAR Data Acquired with a UAV: A Case Study
title_full_unstemmed Quality Control of Outsourced LiDAR Data Acquired with a UAV: A Case Study
title_short Quality Control of Outsourced LiDAR Data Acquired with a UAV: A Case Study
title_sort quality control of outsourced lidar data acquired with a uav a case study
topic UAV
LiDAR
quality control
url https://www.mdpi.com/2072-4292/13/3/419
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