The DOI displayed 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

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

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Categories

• Geochemistry
• Geology

Keywords

brazil cave interior chemistry fieldwork geochemistry geology hypogenic las lidar data Point cloud speleogenesis

Geolocation

view on openstreetmap

Time coverage

2018

Licence

CC BY-NC-SA 4.0

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by Stephan de Hoop, Rahul Prabhakaran , G. (Giovanni) Bertotti , H. (Hilario) Bezerra, Cayo Pontes, Rebecca Lima, Philippe Audra, Augusto Auler

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.

Associated peer-reviewed publication

The Morro Vermelho hypogenic karst system (Brazil): Stratigraphy, fractures, and flow in a carbonate strike-slip fault zone with implications for carbonate reservoirs

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