About: Structured Pointcloud Segmentation for Individual Mangrove Tree Modeling

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Structured Pointcloud Segmentation for Individual Mangrove Tree Modeling
Creator	Gallardo-Cruz, José Hernández-Huerta, Laura Silván-Cárdenas, José
Source	PMC
abstract	Tree structure parameters of mangrove forests are hard to measure in the field and therefore inventories of this type of forests are impossible to keep up to date. In this article, we tested a structured pointcloud segmentation method for extracting individual mangrove trees. Structure parameters of individual trees were estimated from the segmented pointcloud and its 3d geometry was generated using revolution surfaces. Estimated parameters were then assessed at both plot and tree levels using field data. It was observed that the number of segments in each test plot agreed well with the number of trees observed in the field. Nonetheless, the estimated parameters exhibited mixed accuracy with top height being the most accurate.
has issue date	2020-04-29(xsd:dateTime)
bibo:doi	10.1007/978-3-030-49076-8_17
has license	no-cc
sha1sum (hex)	1692222fe3647d9d133a4629bd3b162871a8183a
schema:url	https://doi.org/10.1007/978-3-030-49076-8_17
resource representing a document's title	Structured Pointcloud Segmentation for Individual Mangrove Tree Modeling
has PubMed Central identifier	PMC7297589
schema:publication	Pattern Recognition
resource representing a document's body	covid:1692222fe3647d9d133a4629bd3b162871a8183a#body_text
is schema:about of	named entity 'segmentation' named entity 'Structured' named entity 'FORESTS' named entity 'PARAMETERS' named entity 'DATA' named entity 'ACCURATE' named entity 'IN THE FIELD' named entity 'TESTED' named entity 'NUMBER OF' covid:arg/1692222fe3647d9d133a4629bd3b162871a8183a named entity 'hard' named entity 'forests' named entity 'trees' named entity 'tested' named entity 'segments' named entity 'plot' named entity 'type' named entity 'number' named entity 'trees' named entity 'mangrove' named entity 'mangrove' named entity 'Individual' named entity 'mangrove trees' named entity 'Tree structure' named entity 'connected components' named entity 'isosurfaces' named entity 'GPS' named entity 'connectivity matrix' named entity 'connectivity matrix' named entity 'radial symmetry' named entity 'red mangrove' named entity 'mangrove' named entity 'deforestation' named entity 'connectivity matrix' named entity 'RMSE' named entity 'sparsity' named entity 'mangrove' named entity 'azimuth' named entity 'raster-based' named entity 'connectivity matrix' named entity 'threatened species' named entity 'blue Carbon' named entity 'mangrove' named entity 'LiDAR' named entity 'RMSE' named entity 'mangrove' named entity 'connectivity matrix' named entity 'scatterplot' named entity 'inclination' named entity 'standard deviations' named entity 'parameter estimation' named entity 'Pantanos de Centla' named entity 'Delaunay tessellation' named entity 'tree-like structure' named entity 'mangrove' named entity 'LiDAR' named entity 'mangrove' named entity 'middle point' named entity 'connected component' named entity 'mangrove forest' named entity 'sampling' named entity 'directed graph' named entity 'multivariate Gaussian distribution' named entity 'ellipse' named entity 'mangrove' named entity 'DBH' named entity 'DBH' named entity 'tree crown' named entity 'radial basis functions' named entity 'tree crown' named entity 'root mean squared error' named entity 'tropical forest' named entity 'scatterplot' named entity 'mangrove' named entity 'connectivity matrix' named entity 'Mexican state' named entity 'lagoon' named entity 'forest inventories' named entity 'pixels' named entity 'LiDAR' named entity 'LiDAR'

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