Estimating biophysical parameters of individual trees in an urban environment using small footprint discrete-return imaging lidar

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dc.contributor.authorShrestha, Rupeshen
dc.contributor.authorWynne, Randolph H.en
dc.contributor.departmentForest Resources and Environmental Conservationen
dc.coverage.stateOklahomaen
dc.date.accessed2014-04-08en
dc.date.accessioned2015-09-27T23:48:13Zen
dc.date.available2015-09-27T23:48:13Zen
dc.date.issued2012-02-15en
dc.description.abstractQuantification of biophysical parameters of urban trees is important for urban planning, and for assessing carbon sequestration and ecosystem services. Airborne lidar has been used extensively in recent years to estimate biophysical parameters of trees in forested ecosystems. However, similar studies are largely lacking for individual trees in urban landscapes. Prediction models to estimate biophysical parameters such as height, crown area, diameter at breast height, and biomass for over two thousand individual trees were developed using best subsets multiple linear regression for a study area in central Oklahoma, USA using point cloud distributional metrics from an Optech ALTM 2050 lidar system. A high level of accuracy was attained for estimating individual tree height (R2 = 0.89), dbh (R2 = 0.82), crown diameter (R2 = 0.90), and biomass (R2 = 0.67) using lidar-based metrics for pooled data of all tree species. More variance was explained in species-specific estimates of biomass (R2 = 0.68 for Juniperus virginiana to 0.84 for Ulmus parviflora) than in estimates from broadleaf deciduous (R2 = 0.63) and coniferous (R2 = 0.45) taxonomic groups-or the data set analysed as a whole (R2 = 0.67). The metric crown area performed particularly well for most of the species-specific biomass equations, which suggests that tree crowns should be delineated accurately, whether manually or using automatic individual tree detection algorithms, to obtain a good estimation of biomass using lidar-based metrics.en
dc.description.sponsorshipUnited States. National Aeronautics and Space Administration – NNS06AA57Gen
dc.description.sponsorshipNational Institute of Food and Agriculture (U.S.) - NIFA PINEMAP Projecten
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationShrestha, R., & Wynne, R. H. (2012). Estimating Biophysical Parameters of Individual Trees in an Urban Environment Using Small Footprint Discrete-Return Imaging Lidar. Remote Sensing, 4(2), 484-508.en
dc.identifier.doihttps://doi.org/10.3390/rs4020484en
dc.identifier.issn2072-4292en
dc.identifier.urihttp://hdl.handle.net/10919/56649en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectBiomassen
dc.subjectCarbonen
dc.subjectRemote Sensingen
dc.subjectUrban forestryen
dc.subjectAirborne laser scanningen
dc.titleEstimating biophysical parameters of individual trees in an urban environment using small footprint discrete-return imaging lidaren
dc.title.serialRemote Sensingen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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