星载激光雷达足印点质量对获取森林冠层高度的影响

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中图分类号：S771.8 文献标志码：A 文章编号：1673-923X（2026）03-0197-11

Abstract：【Objective】Tocompare the impactofspaceborneLiDAR footprintqualityunder diferentscreeningconditionsonforest canopyheightextractionprovidingaferenceforteprecisetimatioofforesttructuralparametersusingspaceboeLDAdata. 【Method】Theresearch wasconductedintheHarvardForest，WorcesterCounty，Massachusets，USA.GEDIparameterscluding qualityfagegadefsiiityolaetiondfullareedflngdsodels werebuiltunderdiferentconditions toestablshcanopyheightmodels.Byanalyzingthevariationsinmodelaccuracyunderdieent qualityflteringconditions，theoptimalscreningmethodforspaceboreLiDARfootprintshotswasdetermined.【Result】l）Under single-criterionflringtheegradationfagieldedthebestpformance.Compaedtoteufltereddataquaityflteringproed the accuracy of forest canopy height retrieval，reducing theRMSE by 6.97% ；2）Multi-criteria combination filtering further enhanced theauracytialatioomprsingthaitygegadtionfagsiiityoretiogledr beam-reduced the RMSE by 20.48% compared to the unfiltered data; 3） Some combined conditions （e.g.，solar elevation angle with qualityfg）esdiedcydtitotllioseeay;4）optlo mainly occurred in areas with canopy heights between 18m and 36 m;5） The combination of quality flag，degradation flag，and sensitivity outperformed the optimalcombination inregional interpolation mapping，reducing the RMSE by 4.25% compared to the bestcombination.【Conclusion】Fooprintqualityflteringimprovestheestimationaccuracyofforestcanopyheight，andcombied flteringethodsaremorebeneficialtansingleflterigmethodsinobtaininghgualitydata.However，thescreeningstrategied atsingle-pointaccuracyduringthemodelingphaseisnotoptimalforregional-scalespatialmappingtasks.Byselectingapoprate fltering conditios，moreacurateforesttucturalparameterscanbebaedrovidingrelabletechicalsupportforfestsouce monitoring and management.

Keywords： forest canopy height; footprints; quality filtering;GEDI; random forest model

森林冠层高度是表征森林垂直结构的关键参数，持续、大规模地监测森林高度能够为分析森林退化、量化森林恢复及估算碳排放量等提供关键数据支持[1]。（剩余12663字）