基于树梢聚类算法的防护林单木树高估测

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中图分类号：TP183；TP751 文献标志码：A

Abstract：Treehightisanimportantcharacteristicofforeststandructureinshelterbelts，nditsaccuratemeasurementelpsto clearlyrflettegrowthconditionofteshelterbeltTheshelerbeltinNortnXinjiangarecharacterizedydiversetreespecies regularcrownshapes，overlappingcrowns，anddensevegetation.Traditionalmethodsoftreeheightestimation，whichareprimarily manualsamplingsurveys，suferfromlowprecisionandeficiency.Thisstudyproposesanovelalgorithmbasedonmachine-cadLiDARdataforclusteringtre crows.Thealgorithmfirstemploysasliding windowtechniquetoextracttreetopsandcrowns，thenuses clusteringtouatelydetectsingletepositiosubseuntlytperfsascondusteingarondteetecedsingleitionstoobtainacloudofsingletreepointsandextractsthehighestpointastheestimatedtreeheight.Thismethodnotonlyenhances theprecisionoftreeheightestimationbutalsoeliminatesthecumbersomefieldsurveywork．Theresearchfidingsindicatethathealgorithm can efectively adapt to the selected research area’s stand structure and terrain environment，achieving over 60 % accuracy in single tree detection across three research areas.For the detected trees，it can reach an accuracy of over 8 8 % when compared with field surveydataforestimatingtreeheight.Thisstudyprovidesvaluablereferencesandgudanceformachine-carredLiDARinforeststand structure explorationand treeheight estimation.

Keywords：airborne LiDAR;euclidean clustering algorithm;tree height estimation;shelterbelt

防护林是具有一定树种组成和结构功能的生态防护体系，是干旱沙区人工绿洲的生态屏障，在防治风沙灾害、改善区域小气候、保障人民正常生产生活等方面具有重要作用[1]。（剩余15049字）