Development and Testing of a UAV Laser Scanner and Multispectral Camera System for Eco-Geomorphic Applications

While Uncrewed Aerial Vehicle (UAV) systems and camera sensors are routinely deployed in conjunction with Structure from Motion (SfM) techniques to derive 3D models of fluvial systems, in the presence of vegetation these techniques are subject to large errors. This is because of the high structural...

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Autores principales:	Christopher Tomsett, Julian Leyland
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Uncrewed Aerial Vehicle (UAV) UAV laser scanning (UAV-LS) multispectral Structure from Motion (SfM) point cloud eco-hydraulic Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/8c2fe00898f74c5fbf7c9a2550c1e628
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spelling	oai:doaj.org-article:8c2fe00898f74c5fbf7c9a2550c1e6282021-11-25T18:58:45ZDevelopment and Testing of a UAV Laser Scanner and Multispectral Camera System for Eco-Geomorphic Applications10.3390/s212277191424-8220https://doaj.org/article/8c2fe00898f74c5fbf7c9a2550c1e6282021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7719https://doaj.org/toc/1424-8220While Uncrewed Aerial Vehicle (UAV) systems and camera sensors are routinely deployed in conjunction with Structure from Motion (SfM) techniques to derive 3D models of fluvial systems, in the presence of vegetation these techniques are subject to large errors. This is because of the high structural complexity of vegetation and inability of processing techniques to identify bare earth points in vegetated areas. Furthermore, for eco-geomorphic applications where characterization of the vegetation is an important aim when collecting fluvial survey data, the issues are compounded, and an alternative survey method is required. Laser Scanning techniques have been shown to be a suitable technique for discretizing both bare earth and vegetation, owing to the high spatial density of collected data and the ability of some systems to deliver dual (e.g., first and last) returns. Herein we detail the development and testing of a UAV mounted LiDAR and Multispectral camera system and processing workflow, with application to a specific river field location and reference to eco-hydraulic research generally. We show that the system and data processing workflow has the ability to detect bare earth, vegetation structure and NDVI type outputs which are superior to SfM outputs alone, and which are shown to be more accurate and repeatable, with a level of detection of under 0.1 m. These characteristics of the developed sensor package and workflows offer great potential for future eco-geomorphic research.Christopher TomsettJulian LeylandMDPI AGarticleUncrewed Aerial Vehicle (UAV)UAV laser scanning (UAV-LS)multispectralStructure from Motion (SfM)point cloudeco-hydraulicChemical technologyTP1-1185ENSensors, Vol 21, Iss 7719, p 7719 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Uncrewed Aerial Vehicle (UAV) UAV laser scanning (UAV-LS) multispectral Structure from Motion (SfM) point cloud eco-hydraulic Chemical technology TP1-1185
spellingShingle	Uncrewed Aerial Vehicle (UAV) UAV laser scanning (UAV-LS) multispectral Structure from Motion (SfM) point cloud eco-hydraulic Chemical technology TP1-1185 Christopher Tomsett Julian Leyland Development and Testing of a UAV Laser Scanner and Multispectral Camera System for Eco-Geomorphic Applications
description	While Uncrewed Aerial Vehicle (UAV) systems and camera sensors are routinely deployed in conjunction with Structure from Motion (SfM) techniques to derive 3D models of fluvial systems, in the presence of vegetation these techniques are subject to large errors. This is because of the high structural complexity of vegetation and inability of processing techniques to identify bare earth points in vegetated areas. Furthermore, for eco-geomorphic applications where characterization of the vegetation is an important aim when collecting fluvial survey data, the issues are compounded, and an alternative survey method is required. Laser Scanning techniques have been shown to be a suitable technique for discretizing both bare earth and vegetation, owing to the high spatial density of collected data and the ability of some systems to deliver dual (e.g., first and last) returns. Herein we detail the development and testing of a UAV mounted LiDAR and Multispectral camera system and processing workflow, with application to a specific river field location and reference to eco-hydraulic research generally. We show that the system and data processing workflow has the ability to detect bare earth, vegetation structure and NDVI type outputs which are superior to SfM outputs alone, and which are shown to be more accurate and repeatable, with a level of detection of under 0.1 m. These characteristics of the developed sensor package and workflows offer great potential for future eco-geomorphic research.
format	article
author	Christopher Tomsett Julian Leyland
author_facet	Christopher Tomsett Julian Leyland
author_sort	Christopher Tomsett
title	Development and Testing of a UAV Laser Scanner and Multispectral Camera System for Eco-Geomorphic Applications
title_short	Development and Testing of a UAV Laser Scanner and Multispectral Camera System for Eco-Geomorphic Applications
title_full	Development and Testing of a UAV Laser Scanner and Multispectral Camera System for Eco-Geomorphic Applications
title_fullStr	Development and Testing of a UAV Laser Scanner and Multispectral Camera System for Eco-Geomorphic Applications
title_full_unstemmed	Development and Testing of a UAV Laser Scanner and Multispectral Camera System for Eco-Geomorphic Applications
title_sort	development and testing of a uav laser scanner and multispectral camera system for eco-geomorphic applications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8c2fe00898f74c5fbf7c9a2550c1e628
work_keys_str_mv	AT christophertomsett developmentandtestingofauavlaserscannerandmultispectralcamerasystemforecogeomorphicapplications AT julianleyland developmentandtestingofauavlaserscannerandmultispectralcamerasystemforecogeomorphicapplications
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Development and Testing of a UAV Laser Scanner and Multispectral Camera System for Eco-Geomorphic Applications

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