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Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/handle/10553/137996
DC FieldValueLanguage
dc.contributor.authorJavier Marcelloen
dc.contributor.authorMaria Spínolaen
dc.contributor.authorDionisio Rodríguez-Esparragónen
dc.date.accessioned2025-05-09T19:30:19Z-
dc.date.available2025-05-09T19:30:19Z-
dc.date.issued2024en
dc.identifierhttps://doi.org/10.5281/zenodo.14051046-
dc.identifieroai:zenodo.org:14051046-
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/137996-
dc.description<p>The purpose of this benchmark dataset is primarily to allow the assessment of individual tree segmentation algorithms on LiDAR data. The high density ULS point cloud data were captured by the Zenmuse L1 sensor on a DJI Matrice 300RTK over a coniferous plot on La Palma (Canary Islands, Spain). The dataset comprises the CHM and the normalized 3D cloud, as well as the fully annotated data to serve as a benchmark for segmentation.</p> <p>The publication associated with this database is:</p> <p>Marcello, J.; Spínola, M.; Albors, L.; Marqués, F.; Rodríguez-Esparragón, D.; Eugenio, F. Performance of Individual Tree Segmentation Algorithms in Forest Ecosystems Using UAV LiDAR Data. <em>Drones</em> <strong>2024</strong>, <em>8</em>, 772. https://doi.org/10.3390/drones8120772</p>-
dc.publisherZenodo-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightsCreative Commons Attribution 4.0 International-
dc.rightshttps://creativecommons.org/licenses/by/4.0/legalcode-
dc.subject.otherLiDAR, ULS, Tree Segmentationen
dc.titleLiDAR Segmentation Benchmark Dataset: La Palma-
dc.typeinfo:eu-repo/semantics/other-
item.grantfulltextnone-
item.fulltextSin texto completo-
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