This is a topography point cloud of the 2018 lava flows of the Sierra Negra volcano, located on the Galápagos islands, Ecuador. The data are generated using structure from motion (SFM) and shows nice topographic features and different roughness of the lava flows. Good to show examples of calculating slope and other terrain properties from the point cloud or gridded data.
| Summary | |
|---|---|
| File | sierra-negra-topography.csv |
| Size | 8.5 Mb |
| Version | v1 |
| DOI | https://doi.org/10.5281/zenodo.6139057 |
| License | CC-BY |
| MD5 | md5:9f6f64d47d26773e37b154cf964724e3 |
| SHA256 | sha256:1c2981dc38af5dbee1e4f73616049c37202e508a91563ca8176b728c3cc6882a |
| Source | Carr, B. (2020). Sierra Negra Volcano (TIR Flight 3): Galápagos, Ecuador, October 22 2018. Distributed by OpenTopography. |
| Original license | CC-BY |
| Processing code | prepare.ipynb |
These are the changes made to the original dataset.
- Data were cropped to smaller region to align with previously published studies of the data and make file sizes under 10 Mb.
- Coordinates converted from UTM to WGS84 geographic.
- Export to a compressed CSV for easier loading with Pandas.
Prior use of this dataset:
This is a place to format and prepare the original dataset for use in our tutorials and documentation.
We include the source code that prepares the datasets for redistribution by
filtering, standardizing, converting coordinates, compressing, etc.
The goal is to make loading the data as easy as possible (e.g., a single call
to pandas.read_csv or xarray.load_dataset).
Whenever possible, the code also downloads the original data (otherwise the
original data are included in this repository).
💡 Tip: The easiest way to download this dataset is using Pooch, particularly to download straight from the DOI of a release.
See our Contributing Guidelines for information on proposing new datasets and making changes to this repository.
All Python source code is made available under the BSD 3-clause license. You can freely use and modify the code, without warranty, so long as you provide attribution to the authors.
Unless otherwise specified, all data files and figures created by the code are available under the Creative Commons Attribution 4.0 License (CC-BY).
See LICENSE.txt for the full text of each license.
The license for the original data is specified in this README.md file.