| Téléchargement | - Voir la version finale : UAV-based 3D point clouds of freshwater fish habitats, Xingu River Basin, Brazil (PDF, 5.9 Mio)
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| DOI | Trouver le DOI : https://doi.org/10.3390/data4010009 |
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| Auteur | Rechercher : Kalacska, Margaret; Rechercher : Lucanus, Oliver; Rechercher : Sousa, Leandro; Rechercher : Vieira, Thiago; Rechercher : Arroyo-Mora, Juan1 |
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| Affiliation | - Conseil national de recherches Canada. Aérospatiale
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| Format | Texte, Article |
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| Sujet | structure from motion; Iriri rapids; Jatoba river; Culuene rapids; Retroculus island; unmanned aerial vehicle; freshwater fish; habitat complexity |
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| Résumé | Dense 3D point clouds were generated from Structure-from-Motion Multiview Stereo (SFM-MVS) photogrammetry for five representative freshwater fish habitats in the Xingu river basin, Brazil. The models were constructed from Unmanned Aerial Vehicle (UAV) photographs collected in 2016 and 2017. The Xingu River is one of the primary tributaries of the Amazon River. It is known for its exceptionally high aquatic biodiversity. The dense 3D point clouds were generated in the dry season when large areas of aquatic substrate are exposed due to the low water level. The point clouds were generated at ground sampling distances of 1.20–2.38 cm. These data are useful for studying the habitat characteristics and complexity of several fish species in a spatially explicit manner, such as calculation of metrics including rugosity and the Minkowski–Bouligand fractal dimension (3D complexity). From these dense 3D point clouds, substrate complexity can be determined more comprehensively than from conventional arbitrary cross sections. |
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| Date de publication | 2019-01-10 |
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| Maison d’édition | MDPI |
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| Licence | |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 403edc7c-b2df-453a-bb04-aa62af50e842 |
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| Enregistrement créé | 2020-12-04 |
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| Enregistrement modifié | 2020-12-15 |
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