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标题：UAV-Based 3D Point Clouds of Freshwater Fish Habitats, Xingu River Basin, Brazil
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作者：Margaret Kalacska ; Oliver Lucanus ; Leandro Sousa 等
期刊名称：Data
印刷版ISSN：2306-5729
出版年度：2019
卷号：4
期号：1
页码：9-16
DOI：10.3390/data4010009
出版社：MDPI Publishing
摘要：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.
关键词：structure from motion; Iriri rapids; Jatoba river; Culuene rapids; Retroculus island; unmanned aerial vehicle; freshwater fish; habitat complexity structure from motion ; Iriri rapids ; Jatoba river ; Culuene rapids ; Retroculus island ; unmanned aerial vehicle ; freshwater fish ; habitat complexity