{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T22:57:59Z","timestamp":1762642679859,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T00:00:00Z","timestamp":1646006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42101456"],"award-info":[{"award-number":["42101456"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Canopy cover is an important indicator and commonly used in forest management applications. Unmanned-Aerial-Vehicle (UAV)\u2014Borne Laser Scanning (ULS) has drawn increasing attention as a new alternative source for forest field inventory due to its spatial resolution comparable to that of Terrestrial Laser Scanning (TLS). In this study, the performance of plot canopy cover estimations from ULS and TLS is investigated. The experiment was conducted in 16 plots from two Pinus massoniana forests with different stand conditions in Guangxi, China. Both the Canopy Height Model (CHM)-based and Individual Tree Delineation (ITD)-based methods were used to estimate the canopy cover. The influence of CHM pixel sizes on the estimations was also analyzed. Our results demonstrated that the accuracies of ULS (R2: 0.992\u20130.996, RMSE: 0.591\u20130.820%) were better than those of TLS (R2: 0.541\u20130.846, RMSE: 3.642\u20136.297%) when compared against the reference. The average difference between the ULS and TLS estimations was 6.91%, and the disagreement increased as the forest complexity increased. The reasonable CHM pixel sizes for the canopy cover estimations were 0.07\u20131.2 m for ULS and 0.07\u20131.5 m for TLS. This study can provide useful information for the selection of data sources and estimation methods in plot canopy cover mapping.<\/jats:p>","DOI":"10.3390\/rs14051188","type":"journal-article","created":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T20:11:57Z","timestamp":1646079117000},"page":"1188","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A Comparison of the Performances of Unmanned-Aerial-Vehicle (UAV) and Terrestrial Laser Scanning for Forest Plot Canopy Cover Estimation in Pinus massoniana Forests"],"prefix":"10.3390","volume":"14","author":[{"given":"Wenxia","family":"Dai","sequence":"first","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7392-3709","authenticated-orcid":false,"given":"Qingfeng","family":"Guan","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China"}]},{"given":"Shangshu","family":"Cai","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}]},{"given":"Rundong","family":"Liu","sequence":"additional","affiliation":[{"name":"Guangxi Zhuang Autonomous Region Institute of Natural Resources Remote Sensing, Nanning 530219, China"}]},{"given":"Ruibo","family":"Chen","sequence":"additional","affiliation":[{"name":"Guangxi Zhuang Autonomous Region Institute of Natural Resources Remote Sensing, Nanning 530219, China"}]},{"given":"Qing","family":"Liu","sequence":"additional","affiliation":[{"name":"Guangxi Zhuang Autonomous Region Institute of Natural Resources Remote Sensing, Nanning 530219, China"}]},{"given":"Chao","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Geophysics and Geomatics, China University of Geosciences (Wuhan), Wuhan 430074, China"}]},{"given":"Zhen","family":"Dong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1093\/forestry\/72.1.59","article-title":"Assessing forest canopies and understorey illumination: Canopy closure, canopy cover and other measures","volume":"72","author":"Jennings","year":"1999","journal-title":"Forestry"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1016\/j.rse.2010.12.011","article-title":"Airborne discrete-return LIDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index","volume":"115","author":"Korhonen","year":"2011","journal-title":"Remote Sens. 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