Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, Sung-Eun | - |
dc.contributor.author | Kwak, Doo-Ahn | - |
dc.contributor.author | Park, Taejin | - |
dc.contributor.author | Lee, Woo-Kyun | - |
dc.contributor.author | Yoo, Seongjin | - |
dc.date.accessioned | 2021-09-07T06:45:52Z | - |
dc.date.available | 2021-09-07T06:45:52Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2011-11 | - |
dc.identifier.issn | 2072-4292 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/111289 | - |
dc.description.abstract | In this study, individual tree height (TH), crown base height (CBH), crown area (CA) and crown volume (CV), which were considered as essential parameters for individual stem volume and biomass estimation, were estimated by both an airborne laser scanner (ALS) and a terrestrial laser scanner (TLS). These ALS- and TLS-derived tree parameters were compared because TLS has been introduced as an instrument to measure objects more precisely. ALS-estimated TH was extracted from the highest value within a crown boundary delineated with the crown height model (CHM). The ALS-derived CBH of individual trees was estimated by k-means clustering method using the ALS data within the boundary. The ALS-derived CA was calculated simply with the crown boundary, after which CV was computed automatically using the crown geometric volume (CGV). On the other hand, all TLS-derived parameters were detected manually and precisely except the TLS-derived CGV. As a result, the ALS-extracted TH, CA, and CGV values were underestimated whereas CBH was overestimated when compared with the TLS-derived parameters. The coefficients of determination (R-2) from the regression analysis between the ALS and TLS estimations were approximately 0.94, 0.75, 0.69 and 0.58, and root mean square errors (RMSEs) were approximately 0.0184 m, 0.4929 m, 2.3216 m(2) and 13.2087 m(3) for TH, CBH, CA and CGV, respectively. Thereby, the error rate decreased to 0.0089, 0.0727 and 0.0875 for TH, CA and CGV via the combination of ALS and TLS data. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | SMALL-FOOTPRINT LIDAR | - |
dc.subject | STEM VOLUME | - |
dc.subject | TIMBER VOLUME | - |
dc.subject | CANOPY | - |
dc.subject | HEIGHT | - |
dc.subject | BIOMASS | - |
dc.title | Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kwak, Doo-Ahn | - |
dc.contributor.affiliatedAuthor | Lee, Woo-Kyun | - |
dc.identifier.doi | 10.3390/rs3112346 | - |
dc.identifier.scopusid | 2-s2.0-84863012094 | - |
dc.identifier.wosid | 000306754600003 | - |
dc.identifier.bibliographicCitation | REMOTE SENSING, v.3, no.11, pp.2346 - 2363 | - |
dc.relation.isPartOf | REMOTE SENSING | - |
dc.citation.title | REMOTE SENSING | - |
dc.citation.volume | 3 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 2346 | - |
dc.citation.endPage | 2363 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalResearchArea | Geology | - |
dc.relation.journalResearchArea | Remote Sensing | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Geosciences, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Remote Sensing | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
dc.subject.keywordPlus | SMALL-FOOTPRINT LIDAR | - |
dc.subject.keywordPlus | STEM VOLUME | - |
dc.subject.keywordPlus | TIMBER VOLUME | - |
dc.subject.keywordPlus | CANOPY | - |
dc.subject.keywordPlus | HEIGHT | - |
dc.subject.keywordPlus | BIOMASS | - |
dc.subject.keywordAuthor | airborne laser scanner | - |
dc.subject.keywordAuthor | terrestrial laser scanner | - |
dc.subject.keywordAuthor | digital canopy model | - |
dc.subject.keywordAuthor | k-means clustering | - |
dc.subject.keywordAuthor | crown geometric volume | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.