Structured pointcloud segmentation for individual mangrove tree modeling
Por:
Silván-Cárdenas J.L., Gallardo-Cruz J.A., Hernández-Huerta L.M.
Publicada:
1 ene 2020
Resumen:
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. © Springer Nature Switzerland AG 2020.
Filiaciones:
Centro de Investigación en Ciencias de Información Geoespacial, A.C., Contoy 137, Lomas de Padierna, Tlalpan, Ciudad de México, 14240, Mexico
Universidad Iberoamericana Ciudad de México, Prol. Paseo de la Reforma 880, Lomas de Santa Fe, Ciudad de México, 01219, Mexico
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