PoplarV1, Main, Exploration, bibRecord, 000B78

A Lightweight Leddar Optical Fusion Scanning System (FSS) for Canopy Foliage Monitoring.

Identifieur interne : 000B78 ( Main/Exploration ); précédent : 000B77; suivant : 000B79

A Lightweight Leddar Optical Fusion Scanning System (FSS) for Canopy Foliage Monitoring.

Auteurs : Zhouxin Xi [Canada] ; Christopher Hopkinson [Canada] ; Stewart B. Rood [Canada] ; Celeste Barnes [Canada] ; Fang Xu [Canada] ; David Pearce [Canada] ; Emily Jones [Canada]

Source :

Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2019.

RBID : pubmed:31547362

Descripteurs français

KwdFr :
- Algorithmes (MeSH), Analyse spatio-temporelle (MeSH), Arbres (MeSH), Calibrage (MeSH), Canada (MeSH), Conception d'appareillage (MeSH), Dispositifs optiques (MeSH), Enregistrement sur magnétoscope (MeSH), Feuilles de plante (MeSH), Populus (MeSH), Robotique (instrumentation), Surveillance de l'environnement (instrumentation), Surveillance de l'environnement (méthodes), Technologie de télédétection (instrumentation), Technologie de télédétection (méthodes).
MESH :
- méthodes : Surveillance de l'environnement, Technologie de télédétection.
- Algorithmes, Analyse spatio-temporelle, Arbres, Calibrage, Canada, Conception d'appareillage, Dispositifs optiques, Enregistrement sur magnétoscope, Feuilles de plante, Populus, Robotique, Surveillance de l'environnement, Technologie de télédétection.
Wicri :
- geographic : Canada.

English descriptors

KwdEn :
- Algorithms (MeSH), Calibration (MeSH), Canada (MeSH), Environmental Monitoring (instrumentation), Environmental Monitoring (methods), Equipment Design (MeSH), Optical Devices (MeSH), Plant Leaves (MeSH), Populus (MeSH), Remote Sensing Technology (instrumentation), Remote Sensing Technology (methods), Robotics (instrumentation), Spatio-Temporal Analysis (MeSH), Trees (MeSH), Video Recording (MeSH).
MESH :
- geographic : Canada.
- instrumentation : Environmental Monitoring, Remote Sensing Technology, Robotics.
- methods : Environmental Monitoring, Remote Sensing Technology.
- Algorithms, Calibration, Equipment Design, Optical Devices, Plant Leaves, Populus, Spatio-Temporal Analysis, Trees, Video Recording.

Abstract

A growing need for sampling environmental spaces in high detail is driving the rapid development of non-destructive three-dimensional (3D) sensing technologies. LiDAR sensors, capable of precise 3D measurement at various scales from indoor to landscape, still lack affordable and portable products for broad-scale and multi-temporal monitoring. This study aims to configure a compact and low-cost 3D fusion scanning system (FSS) with a multi-segment Leddar (light emitting diode detection and ranging, LeddarTech), a monocular camera, and rotational robotics to recover hemispherical, colored point clouds. This includes an entire framework of calibration and fusion algorithms utilizing Leddar depth measurements and image parallax information. The FSS was applied to scan a cottonwood (Populus spp.) stand repeatedly during autumnal leaf drop. Results show that the calibration error based on bundle adjustment is between 1 and 3 pixels. The FSS scans exhibit a similar canopy volume profile to the benchmarking terrestrial laser scans, with an r² between 0.5 and 0.7 in varying stages of leaf cover. The 3D point distribution information from FSS also provides a valuable correction factor for the leaf area index (LAI) estimation. The consistency of corrected LAI measurement demonstrates the practical value of deploying FSS for canopy foliage monitoring.

DOI: 10.3390/s19183943
PubMed: 31547362
PubMed Central: PMC6767693

Affiliations:

Canada

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000695
to stream Main, to step Curation: 000695

Le document en format XML

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<term>Environmental Monitoring (methods)</term>
<term>Equipment Design (MeSH)</term>
<term>Optical Devices (MeSH)</term>
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<term>Populus (MeSH)</term>
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<term>Remote Sensing Technology (methods)</term>
<term>Robotics (instrumentation)</term>
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<term>Video Recording (MeSH)</term>
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<term>Analyse spatio-temporelle (MeSH)</term>
<term>Arbres (MeSH)</term>
<term>Calibrage (MeSH)</term>
<term>Canada (MeSH)</term>
<term>Conception d'appareillage (MeSH)</term>
<term>Dispositifs optiques (MeSH)</term>
<term>Enregistrement sur magnétoscope (MeSH)</term>
<term>Feuilles de plante (MeSH)</term>
<term>Populus (MeSH)</term>
<term>Robotique (instrumentation)</term>
<term>Surveillance de l'environnement (instrumentation)</term>
<term>Surveillance de l'environnement (méthodes)</term>
<term>Technologie de télédétection (instrumentation)</term>
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<front><div type="abstract" xml:lang="en">A growing need for sampling environmental spaces in high detail is driving the rapid development of non-destructive three-dimensional (3D) sensing technologies. LiDAR sensors, capable of precise 3D measurement at various scales from indoor to landscape, still lack affordable and portable products for broad-scale and multi-temporal monitoring. This study aims to configure a compact and low-cost 3D fusion scanning system (FSS) with a multi-segment Leddar (light emitting diode detection and ranging, LeddarTech), a monocular camera, and rotational robotics to recover hemispherical, colored point clouds. This includes an entire framework of calibration and fusion algorithms utilizing Leddar depth measurements and image parallax information. The FSS was applied to scan a cottonwood (<i>Populus</i>
 spp.) stand repeatedly during autumnal leaf drop. Results show that the calibration error based on bundle adjustment is between 1 and 3 pixels. The FSS scans exhibit a similar canopy volume profile to the benchmarking terrestrial laser scans, with an <i>r</i>
<sup>2</sup>
 between 0.5 and 0.7 in varying stages of leaf cover. The 3D point distribution information from FSS also provides a valuable correction factor for the leaf area index (LAI) estimation. The consistency of corrected LAI measurement demonstrates the practical value of deploying FSS for canopy foliage monitoring.</div>
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<ArticleTitle>A Lightweight Leddar Optical Fusion Scanning System (FSS) for Canopy Foliage Monitoring.</ArticleTitle>
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<Abstract><AbstractText>A growing need for sampling environmental spaces in high detail is driving the rapid development of non-destructive three-dimensional (3D) sensing technologies. LiDAR sensors, capable of precise 3D measurement at various scales from indoor to landscape, still lack affordable and portable products for broad-scale and multi-temporal monitoring. This study aims to configure a compact and low-cost 3D fusion scanning system (FSS) with a multi-segment Leddar (light emitting diode detection and ranging, LeddarTech), a monocular camera, and rotational robotics to recover hemispherical, colored point clouds. This includes an entire framework of calibration and fusion algorithms utilizing Leddar depth measurements and image parallax information. The FSS was applied to scan a cottonwood (<i>Populus</i>
 spp.) stand repeatedly during autumnal leaf drop. Results show that the calibration error based on bundle adjustment is between 1 and 3 pixels. The FSS scans exhibit a similar canopy volume profile to the benchmarking terrestrial laser scans, with an <i>r</i>
<sup>2</sup>
 between 0.5 and 0.7 in varying stages of leaf cover. The 3D point distribution information from FSS also provides a valuable correction factor for the leaf area index (LAI) estimation. The consistency of corrected LAI measurement demonstrates the practical value of deploying FSS for canopy foliage monitoring.</AbstractText>
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<Keyword MajorTopicYN="N">leaf area index</Keyword>
<Keyword MajorTopicYN="N">monocular camera</Keyword>
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A Lightweight Leddar Optical Fusion Scanning System (FSS) for Canopy Foliage Monitoring.

A Lightweight Leddar Optical Fusion Scanning System (FSS) for Canopy Foliage Monitoring.

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