Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3179-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-3179-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
UAV-based very high resolution point cloud, digital surface model and orthomosaic of the Chã das Caldeiras lava fields (Fogo, Cabo Verde)
Centre of Geographical Studies (CEG), IGOT, Universidade de Lisboa, 1600-276 Lisbon, Portugal
Centre of Geographical Studies (CEG), IGOT, Universidade de Lisboa, 1600-276 Lisbon, Portugal
Pedro Pina
Department of Earth Sciences, Institute of Astrophysics and Space Sciences, University of Coimbra, 3030-790 Coimbra, Portugal
Ricardo Ramalho
Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal
Departamento de Geologia, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisbon, Portugal
School of Earth Sciences, University of Bristol, Wills Memorial Building, Queen's Road, Bristol, BS8 1RJ, UK
Lamont-Doherty Earth Observatory, Columbia University, Comer Geochemistry Building, P.O. Box 1000, Palisades, NY 10964-8000, USA
Rui Fernandes
Instituto Dom Luiz (IDL), Universidade da Beira Interior, Covilhã, 6201-001 Covilhã, Portugal
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11 citations as recorded by crossref.
- Volcanism in Antarctica: An assessment of the present state of research and future directions A. Geyer et al. 10.1016/j.jvolgeores.2023.107941
- A Deep Learning Based Method to Delineate the Wet/Dry Shoreline and Compute Its Elevation Using High-Resolution UAS Imagery M. Vicens-Miquel et al. 10.3390/rs14235990
- Oceanic intraplate explosive eruptions fed directly from the mantle C. DeVitre et al. 10.1073/pnas.2302093120
- ShetlandsUAVmetry: unmanned aerial vehicle-based photogrammetric dataset for Antarctic environmental research A. Román et al. 10.1038/s41597-024-03045-1
- Drone Observation for the Quantitative Study of Complex Multilevel Societies T. Maeda & S. Yamamoto 10.3390/ani13121911
- LiDAR-based topographic data for the coastline of Port Foster (Deception Island, Antarctica) A. Román et al. 10.1038/s41597-025-05726-x
- High-resolution digital outcrop model of the faults, fractures, and stratigraphy of the Agardhfjellet Formation cap rock shales at Konusdalen West, central Spitsbergen P. Betlem et al. 10.5194/essd-16-985-2024
- One hundred lava flows of Mt. Etna, Italy: July 2019–December 2023 update C. Proietti et al. 10.1080/17445647.2024.2380899
- Optimizing matrix barcode ground control points for automated location detection in UAS-based remote sensing K. Ladino & M. Sama 10.1016/j.compag.2025.110717
- Spatial and Temporal Resolution Needs for Volcano Topographic Change Data Sets Based on Past Eruptions (1980–2019) E. Eiden et al. 10.1029/2023EA003054
- Ground Deformation Monitoring for Subway Structure Safety Based on GNSS D. Tan et al. 10.3390/buildings13112682
Latest update: 03 Sep 2025
Short summary
Fogo in Cabo Verde is one of the most active ocean island volcanoes on Earth, posing important hazards to local populations and at a regional level. The last eruption occurred from November 2014 to February 2015. A survey of the Chã das Caldeiras area was conducted using a fixed-wing unmanned aerial vehicle. A point cloud, digital surface model and orthomosaic with 10 and 25 cm resolutions are provided, together with the full aerial survey projects and datasets.
Fogo in Cabo Verde is one of the most active ocean island volcanoes on Earth, posing important...
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