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ID:32297572
大小:9.63 MB
页数:81页
时间:2019-02-02
《基于星载大光斑lidar数据反演森林冠层高度与应用的的研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、摘要5)利用GIS软件提取空间分辨率为30m的森林冠层高度和森林地上生物量数据,结果表明:研究区的森林平均冠层高度估测值为18.7m。77个检验样地的森林平均冠层高度估测值为19.2m,预估精度为90.14%。剔除农阳、建筑用地、公路、河流等非林业用地,研究区的森林平均冠层高度估测值为23.1m。研究区森林平均地上生物量估测值为91.017t/ha,去除非林业用地后的森林平均地上生物量估测值为104.561t/ha,研究区森林地上生物量总量为5,747,996t。以上研究结果可为ICESat—GLAS波形数据处理和基于大光斑激光雷达波形数据对林分平均
2、冠层高度和生物量的估测应用研究提供方法基础。关键词ICESat-GLAS;平均冠层高度;反演;小波变换;激光雷达‘AbStract=目_____目E
3、目E_l_l
4、目=g目===审鼍_III=j皇目目自自j}!目=目_目墨_-EE!g===目晕自目E=!=目目-E目目E==目目AbstractLiDAR(LightDetectionandRanging)isoneoftheresearchfocusesonremotesensing,Earthobservation,forestryinvestigationinrecentyears,andfore
5、stsurveyandmappinginChinaandabroadhaveawiderangeofapplications.Therecentstudiesconcentrateontheestimationofforestcanopyheightandforestrybiomass.Therefore,thepapertakeJilinprovince’SWangqingForestryBureauasthestudyarea,whereislocatedinthelowmountainintheChangbaiMountains.Thefirs
6、tchapterreviewsofthestatusandtrendsonLiDARtechnologyapplicationsinforestryathomeandabroad,andanalysisofitsresearchproblems,maincontentsandexpectedobjectivesinthisstudy;Then,thepaperhasanalysisofICESat—GLAS(theIce,Cloud,andlandElevation—GeoscienceLaserAltimeterSystem)returnwavef
7、ormspreprocessingandextractionparametermethod,andalsostudiesonfactors(plotslope,etc.)thateffectonforestcanopyheightestimation.Finally,toverifytherelationshipbetweenICESat-GLASreturnwaveformparametersandthemeanforestcanopyheightandforestabovegroundbiomass,theresearchcombineswith
8、fieldsurveydatatoconstructthemeanforestcanopyheightandforestabovegroundbiomassretrievalmodelbasedonICESat。GLASreturnwavefotinparameters.Meanwhile,theresearchalsousestheGISspatialanalysistechniquestomakefurtherimprovementonthepredictedaccuracyonforestmeancanopyheightandabovegrou
9、ndbiomass.Themainresultsareasfollows:11RespectivelyusingWaveletTransformmethodandGaussianFiltertoobtaintheICESat.GLASreturnwaveformsdenoising,thepaperextractsthedenoisedreturnwaveformparametersforestimationoftheforestmeancanopyheightandforestbiomass.Itsresultsshowthatcomparedwi
10、ththeGaussianFilter,WaveletTransformmakestheRootMeanSq
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