LiDAR Dataset for Hypogenic Morro Vermelho Cave in Bahia, Brazil (2018)

doi: 10.4121/16832254.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/16832254
Datacite citation style:
de Hoop, Stephan; Prabhakaran, Rahul; Bertotti, G. (Giovanni); Bezerra, H. (Hilario); Pontes, Cayo et. al. (2021): LiDAR Dataset for Hypogenic Morro Vermelho Cave in Bahia, Brazil (2018). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16832254.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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categories
geolocation
Canarana, State of Bahia, Brazil
lat (N): -11.817194
lon (E): -41.750184
view on openstreetmap
time coverage
2018
LiDAR dataset collected in a 2018 fieldwork expedition to hypogenic (and epigenic) cave(s) in the State of Bahia, Brazil. The data consists of a dense point clouds (resolution of around 3-10 cm), and the size of the cave is around 50-100 meter in length. The data is collected with the mobile LiDAR device (GeoSLAM ZEB REVO).
history
  • 2021-11-01 first online, published, posted
publisher
4TU.ResearchData
format
LiDAR data is in LAS format.
funding
  • Shell Brazil and Top sector Energy (the Netherlands)
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Engineering
Universidade Federal do Rio Grande do Norte

DATA

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