Please use this identifier to cite or link to this item: https://doi.org/10.5194/isprs-archives-XLII-4-W10-105-2018
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dc.titleIntegration of tree database derived from satellite imagery and LiDAR point cloud data
dc.contributor.authorLiew, S.C.
dc.contributor.authorHuang, X.
dc.contributor.authorLin, E.S.
dc.contributor.authorShi, C.
dc.contributor.authorYee, A.T.K.
dc.contributor.authorTandon, A.
dc.contributor.editorAgugiaro, G.
dc.contributor.editorStoter, J.
dc.contributor.editorLabetski, A.
dc.contributor.editorKoeva, M.
dc.contributor.editorArroyo, Ohori, K.
dc.date.accessioned2021-12-06T04:30:16Z
dc.date.available2021-12-06T04:30:16Z
dc.date.issued2018
dc.identifier.citationLiew, S.C., Huang, X., Lin, E.S., Shi, C., Yee, A.T.K., Tandon, A. (2018). Integration of tree database derived from satellite imagery and LiDAR point cloud data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 42 (4/W10) : 105-111. ScholarBank@NUS Repository. https://doi.org/10.5194/isprs-archives-XLII-4-W10-105-2018
dc.identifier.issn1682-1750
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/209655
dc.description.abstract3D tree database provides essential information of tree species abundance, spatial distribution and tree height for forest mapping, sustainable urban planning and 3D city modelling. Fusion of passive optical satellite imagery and active Lidar data can potentially be exploited for operational forest inventory. However, such fusion requires very high geometric accuracy for both data sets. This paper proposes an approach for 3D tree information extracted from passive and active data integrating into existing tree database by effectively using geometric information of satellite camera model and laser scanner scanning geometry. The paper also presents the individual methods for tree crown identification and delineation from satellite images and lidar point cloud data respectively, the geometric correction of tree position from tree top to tree base. The ground truth accuracy assessment for the tree extracted is also present. © Authors 2018. CC BY 4.0 License.
dc.publisherInternational Society for Photogrammetry and Remote Sensing
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2018
dc.subjectCamera Model
dc.subjectCanopy Height Model
dc.subjectLidar Point Cloud
dc.subjectTree Crown Identification and Delineation
dc.typeConference Paper
dc.contributor.departmentCTR FOR REM IMAGING,SENSING & PROCESSING
dc.description.doi10.5194/isprs-archives-XLII-4-W10-105-2018
dc.description.sourcetitleInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.description.volume42
dc.description.issue4/W10
dc.description.page105-111
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