{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T18:14:15Z","timestamp":1770833655546,"version":"3.50.1"},"reference-count":72,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2019,4,14]],"date-time":"2019-04-14T00:00:00Z","timestamp":1555200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2017YFD0600904"],"award-info":[{"award-number":["2017YFD0600904"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31770590"],"award-info":[{"award-number":["31770590"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012246","name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","doi-asserted-by":"publisher","award":["PAPD"],"award-info":[{"award-number":["PAPD"]}],"id":[{"id":"10.13039\/501100012246","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Canopy cover is a key forest structural parameter that is commonly used in forest inventory, sustainable forest management and maintaining ecosystem services. Recently, much attention has been paid to the use of unmanned aerial vehicle (UAV)-based light detection and ranging (LiDAR) due to the flexibility, convenience, and high point density advantages of this method. In this study, we used UAV-based LiDAR data with individual tree segmentation-based method (ITSM), canopy height model-based method (CHMM), and a statistical model method (SMM) with LiDAR metrics to estimate the canopy cover of a pure ginkgo (Ginkgo biloba L.) planted forest in China. First, each individual tree within the plot was segmented using watershed, polynomial fitting, individual tree crown segmentation (ITCS) and point cloud segmentation (PCS) algorithms, and the canopy cover was calculated using the segmented individual tree crown (ITSM). Second, the CHM-based method, which was based on the CHM height threshold, was used to estimate the canopy cover in each plot. Third, the canopy cover was estimated using the multiple linear regression (MLR) model and assessed by leave-one-out cross validation. Finally, the performance of three canopy cover estimation methods was evaluated and compared by the canopy cover from the field data. The results demonstrated that, the PCS algorithm had the highest accuracy (F = 0.83), followed by the ITCS (F = 0.82) and watershed (F = 0.79) algorithms; the polynomial fitting algorithm had the lowest accuracy (F = 0.77). In the sensitivity analysis, the three CHM-based algorithms (i.e., watershed, polynomial fitting and ITCS) had the highest accuracy when the CHM resolution was 0.5 m, and the PCS algorithm had the highest accuracy when the distance threshold was 2 m. In addition, the ITSM had the highest accuracy in estimation of canopy cover (R2 = 0.92, rRMSE = 3.5%), followed by the CHMM (R2 = 0.94, rRMSE = 5.4%), and the SMM had a relative low accuracy (R2 = 0.80, rRMSE = 5.9%).The UAV-based LiDAR data can be effectively used in individual tree crown segmentation and canopy cover estimation at plot-level, and CC estimation methods can provide references for forest inventory, sustainable management and ecosystem assessment.<\/jats:p>","DOI":"10.3390\/rs11080908","type":"journal-article","created":{"date-parts":[[2019,4,15]],"date-time":"2019-04-15T11:15:58Z","timestamp":1555326958000},"page":"908","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":91,"title":["Assessment of Individual Tree Detection and Canopy Cover Estimation using Unmanned Aerial Vehicle based Light Detection and Ranging (UAV-LiDAR) Data in Planted Forests"],"prefix":"10.3390","volume":"11","author":[{"given":"Xiangqian","family":"Wu","sequence":"first","affiliation":[{"name":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5517-277X","authenticated-orcid":false,"given":"Xin","family":"Shen","sequence":"additional","affiliation":[{"name":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5195-0477","authenticated-orcid":false,"given":"Lin","family":"Cao","sequence":"additional","affiliation":[{"name":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"}]},{"given":"Guibin","family":"Wang","sequence":"additional","affiliation":[{"name":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"}]},{"given":"Fuliang","family":"Cao","sequence":"additional","affiliation":[{"name":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"925","DOI":"10.1007\/s10531-008-9380-x","article-title":"Plantation forests and biodiversity: Oxymoron or opportunity?","volume":"17","author":"Brockerhoff","year":"2008","journal-title":"Biodivers. Conserv."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"267","DOI":"10.2307\/2401336","article-title":"A Darwinian Approach to Plant Ecology","volume":"4","author":"Society","year":"1967","journal-title":"J. Appl. Ecol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/S0378-1127(01)00549-7","article-title":"Rationale and methods for conserving biodiversity in plantation forests","volume":"155","author":"Hartley","year":"2002","journal-title":"Ecol. Manag."},{"key":"ref_4","unstructured":"Food and Agriculture Organization of the United Nations (FAO) (2010). Global Forest Resources Assessment 2010, FAO."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Sun, Y., Liang, X., Liang, Z., Welham, C., and Li, W. (2016). Deriving Merchantable Volume in Poplar through a Localized Tapering Function from Non-Destructive Terrestrial Laser Scanning. Forests, 7.","DOI":"10.3390\/f7040087"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1094","DOI":"10.1016\/j.ympev.2008.05.003","article-title":"Phylogeography of a living fossil: Pleistocene glaciations forced Ginkgo biloba L. (Ginkgoaceae) into two refuge areas in China with limited subsequent postglacial expansion","volume":"48","author":"Gong","year":"2008","journal-title":"Mol. Phylogenet. Evol."},{"key":"ref_7","unstructured":"Fuliang, C. (2007). Chinese Ginkgo, China Forestry Publishing House."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1046\/j.1354-1013.2001.00435.x","article-title":"Soil surface CO2 efflux and its spatial and temporal variations in a young ponderosa pine plantation in northern California","volume":"7","author":"Xu","year":"2001","journal-title":"Glob. Chang. Biol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"18555","DOI":"10.1073\/pnas.0703333104","article-title":"Quantifying the biodiversity value of tropical primary, secondary, and plantation forests","volume":"104","author":"Barlow","year":"2007","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/j.agrformet.2014.06.008","article-title":"Canopy closure, LAI and radiation transfer from airborne LiDAR synthetic images","volume":"197","author":"Moeser","year":"2014","journal-title":"Agric. Meteorol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2122","DOI":"10.1109\/TGRS.2011.2172213","article-title":"Foliage clumping index over China\u2019s landmass retrieved from the MODIS BRDF parameters product","volume":"50","author":"Zhu","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_12","unstructured":"Food and Agriculture Organization of the United Nations (FAO) (2005). Forest Resource Assessment, FAO."},{"key":"ref_13","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_14","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1126\/science.1244693","article-title":"High-Resolution Global Maps of 21st-Century Forest Cover Change","volume":"342","author":"Hansen","year":"2013","journal-title":"Science"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.ecss.2013.03.023","article-title":"Change and fragmentation trends of Zhanjiang mangrove forests in southern China using multi-temporal Landsat imagery (1977 e 2010)","volume":"130","author":"Li","year":"2013","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_16","first-page":"60","article-title":"Estimation of canopy attributes in beech forests using true colour digital images from a small fixed-wing UAV","volume":"47","author":"Chianucci","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_17","first-page":"711","article-title":"Spherical densiometers produce biased estimates of forest canopy cover","volume":"23","author":"Cook","year":"1995","journal-title":"Wildl. Soc. Bull."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"577","DOI":"10.14214\/sf.315","article-title":"Estimation of forest canopy cover: A comparison of field measurement techniques","volume":"40","author":"Korhonen","year":"2006","journal-title":"Silva Fenn."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1007\/s10661-009-1022-6","article-title":"Implications of differing input data sources and approaches upon forest carbon stock estimation","volume":"166","author":"Wulder","year":"2010","journal-title":"Environ. Monit. Assess."},{"key":"ref_20","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. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Li, Z., Fan, Z., and Shen, S. (2018). Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China. Sustainability, 10.","DOI":"10.3390\/su10082656"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/S0034-4257(01)00290-5","article-title":"Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data","volume":"80","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/0034-4257(84)90031-2","article-title":"Determining forest canopy characteristics using airborne laser data","volume":"15","author":"Nelson","year":"1984","journal-title":"Remote Sens. Environ."},{"key":"ref_24","first-page":"3452","article-title":"Quantitative inversion for wind injury assessment of rubber trees by using mobile laser scanning","volume":"38","author":"Yun","year":"2018","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Xu, Q., Cao, L., Xue, L., Chen, B., An, F., and Yun, T. (2019). Extraction of Leaf Biophysical Attributes Based on a Computer Graphic-based Algorithm Using Terrestrial Laser Scanning Data. Remote Sens., 11.","DOI":"10.3390\/rs11010015"},{"key":"ref_26","unstructured":"Jie, P. (2015). Early M onitoring of Pine Wilt Disease in Pinus m as- sioniana based on Hyperspectral Data. Plant Dis. Pests, 1\u20135."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"447","DOI":"10.5589\/m09-038","article-title":"A cross-comparison of field, spectral, and lidar estimates of forest canopy cover","volume":"35","author":"Smith","year":"2009","journal-title":"Can. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1109\/36.921414","article-title":"A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners","volume":"39","author":"Kelle","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1016\/j.rse.2012.03.027","article-title":"Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data","volume":"123","author":"Yao","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.rse.2012.01.020","article-title":"3-D mapping of a multi-layered Mediterranean forest using ALS data","volume":"121","author":"Ferraz","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.isprsjprs.2015.01.018","article-title":"A graph-based segmentation algorithm for tree crown extraction using airborne LiDAR data","volume":"104","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"4163","DOI":"10.3390\/rs5094163","article-title":"Delineating individual trees from lidar data: A comparison of vector- and raster-based segmentation approaches","volume":"5","author":"Jakubowski","year":"2013","journal-title":"Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/978-94-017-8663-8_20","article-title":"Estimation of Canopy Cover, Gap Fraction and Leaf Area Index with Airborne Laser Scanning","volume":"Volume 27","author":"Korhonen","year":"2014","journal-title":"Forestry Applications of Airborne Laser Scanning"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"4225","DOI":"10.1109\/JSTARS.2017.2711482","article-title":"Comparison of Canopy Cover Estimations From","volume":"10","author":"Ma","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.isprsjprs.2017.04.018","article-title":"Assessing the performance of aerial image point cloud and spectral metrics in predicting boreal forest canopy cover","volume":"129","author":"Melin","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1109\/LGRS.2010.2079913","article-title":"Mini-UAV-borne LIDAR for fine-scale mapping","volume":"8","author":"Lin","year":"2011","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1519","DOI":"10.3390\/rs4061519","article-title":"Development of a UAV-LiDAR system with application to forest inventory","volume":"4","author":"Wallace","year":"2012","journal-title":"Remote Sens."},{"key":"ref_38","unstructured":"Nagai, M., Witayangkurn, A., Shrestha, A., Chinnachodteeranun, R., Honda, K., and Shibasaki, R. (2009, January 18\u201323). UAV-based sesor web moitorig system. Proceedings of the 30th Asian Conference on Remote Sensing 2009, ACRS 2009, Beijing, China."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/j.isprsjprs.2010.08.002","article-title":"A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements","volume":"65","author":"Jaakkola","year":"2010","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"7619","DOI":"10.1109\/TGRS.2014.2315649","article-title":"Evaluating tree detection and segmentation routines on very high resolution UAV LiDAR ata","volume":"52","author":"Wallace","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Wallace, L., Lucieer, A., Malenovsk\u1ef3, Z., Turner, D., and Vop\u011bnka, P. (2016). Assessment of forest structure using two UAV techniques: A comparison of airborne laser scanning and structure from motion (SfM) point clouds. Forests, 7.","DOI":"10.3390\/f7030062"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.foreco.2006.05.069","article-title":"Comparison of five canopy cover estimation techniques in the western Oregon Cascades","volume":"232","author":"Fiala","year":"2006","journal-title":"For. Ecol. Manag."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1002\/prot.10286","article-title":"Structure validation by C alpha geometry: Phi, psi and C beta deviation","volume":"50","author":"Lovell","year":"2003","journal-title":"Proteins-Struct. Funct. Genet."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/S0034-4257(03)00098-1","article-title":"Modeling airborne laser scanning data for the spatial generation of critical forest parameters in fire behavior modeling","volume":"86","author":"Meier","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1139\/x00-182","article-title":"Laser point-quadrat sampling for estimating foliage-height profiles in broad-leaved forests","volume":"31","author":"Radtke","year":"2001","journal-title":"Can. J. Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1007\/s00468-006-0119-6","article-title":"Estimating canopy structure of Douglas-fir forest stands from discrete-return LiDAR","volume":"21","author":"Coops","year":"2007","journal-title":"Trees Struct. Funct."},{"key":"ref_47","first-page":"113","article-title":"Modelling diameter distributions of Betula alba L. stands in northwest Spain with the two-paramenter Weibull function","volume":"16","author":"Gorgoso","year":"2007","journal-title":"Investig. Agrar. Sist. y Recur. For."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1109\/34.87344","article-title":"Watersheds in digital spaces: An efficient algorithm based on\\nimmersion simulations","volume":"13","author":"Vincent","year":"1991","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"923","DOI":"10.14358\/PERS.72.8.923","article-title":"Isolating Individual Trees in a Savanna Woodland Using Small Footprint Lidar Data","volume":"72","author":"Chen","year":"2006","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1016\/S0098-3004(98)00169-1","article-title":"Image modelling of forest changes associated with acid mine drainage","volume":"25","author":"Walsworth","year":"1999","journal-title":"Comput. Geosci."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/S0034-4257(00)00101-2","article-title":"Local maximum filtering for the extraction of tree locations and basal area from high spatial resolution imagery","volume":"73","author":"Wulder","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1139\/x97-130","article-title":"Automatic estimation of individual tree positions from aerial photos","volume":"27","author":"Dralle","year":"1997","journal-title":"Can. J. Res."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"589","DOI":"10.14358\/PERS.70.5.589","article-title":"Seeing the Trees in the Forest: Using Lidar and Multispectral Data Fusion with Local Filtering and Variable Window Size for Estimating Tree Height","volume":"70","author":"Popescu","year":"2004","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"351","DOI":"10.14358\/PERS.70.3.351","article-title":"Individual Tree-Crown Delineation and Treetop Detection in High-Spatial-Resolution Aerial Imagery","volume":"70","author":"Wang","year":"2004","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/1047-3203(90)90014-M","article-title":"Morphological segmentation","volume":"1","author":"Meyer","year":"1990","journal-title":"J. Vis. Commun. Image Represent."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/j.dam.2004.09.017","article-title":"Watersheds, mosaics, and the emergence paradigm","volume":"147","author":"Najman","year":"2005","journal-title":"Discret. Appl. Math."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/S0168-1699(02)00121-7","article-title":"Estimating plot-level tree heights with lidar: Local filtering with a canopy-height based variable window size","volume":"37","author":"Popescu","year":"2003","journal-title":"Comput. Electron. Agric."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"564","DOI":"10.5589\/m03-027","article-title":"Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass","volume":"29","author":"Popescu","year":"2003","journal-title":"Can. J. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Cao, L., Gao, S., Li, P., Yun, T., Shen, X., and Ruan, H. (2016). Aboveground biomass estimation of individual trees in a coastal planted forest using full-waveform airborne laser scanning data. Remote Sens., 8.","DOI":"10.3390\/rs8090729"},{"key":"ref_60","first-page":"164","article-title":"Estimating Individual Tree Crown Diameter Using Fourth Fegree Polynomial Fitting Method Based on Airborne LiDAR","volume":"30","author":"HUO","year":"2015","journal-title":"J. Northwest For. Univ."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1111\/2041-210X.12575","article-title":"Tree-centric mapping of forest carbon density from airborne laser scanning and hyperspectral data","volume":"7","author":"Dalponte","year":"2016","journal-title":"Methods Ecol. Evol."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"75","DOI":"10.14358\/PERS.78.1.75","article-title":"A New Method for Segmenting Individual Trees from the Lidar Point Cloud","volume":"78","author":"Li","year":"2012","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_63","first-page":"345","article-title":"A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation","volume":"3408","author":"Goutte","year":"2005","journal-title":"Int. J. Radiat. Biol. Relat. Stud. Phys. Chem. Med."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Sokolova, M., Japkowicz, N., and Szpakowicz, S. (2006). Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation. AI 2006: Advances in Artificial Intelligence, Springer.","DOI":"10.1007\/11941439_114"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"3079","DOI":"10.1016\/j.rse.2008.03.004","article-title":"Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser","volume":"112","author":"Gobakken","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1016\/j.rse.2009.12.004","article-title":"Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data","volume":"114","author":"Breidenbach","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_67","first-page":"218","article-title":"Tree Crown Delineation from Digital Elevation Models and high resolution imagery","volume":"36","author":"Mei","year":"2004","journal-title":"Proc. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.agrformet.2014.07.008","article-title":"Airborne Lidar-derived volume metrics for aboveground biomass estimation: A comparative assessment for conifer stands","volume":"198\u2013199","author":"Tao","year":"2014","journal-title":"Agric. Meteorol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.isprsjprs.2014.03.014","article-title":"A bottom-up approach to segment individual deciduous trees using leaf-off lidar point cloud data","volume":"94","author":"Lu","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_70","unstructured":"Gougeon, F.A. (1995, January 13\u201315). A System for Individual Tree Crown Classification of Conifer Stands at High Spatial Reslutions. Proceedings of the 17th Canadian Symposium on Remote Sensing, Saskatoon, SK, Canada."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"357","DOI":"10.14358\/PERS.72.4.357","article-title":"Detection of Individual Tree Crowns in Airborne Lidar Data","volume":"72","author":"Koch","year":"2006","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/j.rse.2007.04.018","article-title":"A LiDAR-derived canopy density model for tree stem and crown mapping in Australian forests","volume":"111","author":"Lee","year":"2007","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/8\/908\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:45:21Z","timestamp":1760186721000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/8\/908"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,14]]},"references-count":72,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2019,4]]}},"alternative-id":["rs11080908"],"URL":"https:\/\/doi.org\/10.3390\/rs11080908","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,14]]}}}