| Download | - View final version: UAV-based 3D point clouds of freshwater fish habitats, Xingu River Basin, Brazil (PDF, 5.9 MiB)
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| DOI | Resolve DOI: https://doi.org/10.3390/data4010009 |
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| Author | Search for: Kalacska, Margaret; Search for: Lucanus, Oliver; Search for: Sousa, Leandro; Search for: Vieira, Thiago; Search for: Arroyo-Mora, Juan1 |
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| Affiliation | - National Research Council of Canada. Aerospace
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| Format | Text, Article |
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| Subject | structure from motion; Iriri rapids; Jatoba river; Culuene rapids; Retroculus island; unmanned aerial vehicle; freshwater fish; habitat complexity |
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| Abstract | 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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| Publication date | 2019-01-10 |
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| Publisher | MDPI |
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| Licence | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 403edc7c-b2df-453a-bb04-aa62af50e842 |
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| Record created | 2020-12-04 |
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| Record modified | 2020-12-15 |
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