Published May 3, 2023
| Version v0.8
Software
Open
LSDtopotools/LSDTopoTools2: LSDTopoTools2 v0.8
Creators
- 1. University of Edinburgh
- 2. Durham University
- 3. Queen Mary University of London
- 4. University of Rennes
- 5. University of Glasgow
- 6. British Geological Survey
- 7. University of Minnesota, Department of Earth Science
- 8. University of Colorado
Description
LSDTopoTools v0.8
- New contributions from SMM and FJC
- Additions to channel extraction include getting longest channel, including more information in the output files, and an option to print channels as shapefiles.
- A number of changes to the cosmo tool including better accounting for a column, an interface to bring in transient erosion rates, better support for CRN, smoother operation of the nesting functions, and fixes to the shielding calculations that allow you to compute erosion rates in one step.
- Added a function for creating steady state fluvial landscapes
- Included some new metrics, most notably the normalised concavity index or NCI that was used in Chen et al Nature paper.
- Added a routine that facilitates tagging of major drainage divides.
- Added perona-malik filter to hillslope analysis
- added a small function to analyse channel tips for a channel extraction routine
- Other minor bug and typo fixes.
Files
LSDtopotools/LSDTopoTools2-v0.8.zip
Files
(1.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:2f448bdbbb0ade319bc1de8e30271fb7
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1.4 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/LSDtopotools/LSDTopoTools2/tree/v0.8 (URL)
Funding
- SUBITOP – Understanding subduction zone topography through modelling of coupled shallow and deep processes 674899
- European Commission
- Predicting the distribution of major debris flow hazard using coupled 10Be erosion records and 1m resolution digital topography NE/J012750/1
- UK Research and Innovation
- Climate History Controls Future Landslide Hazard NE/J009970/1
- UK Research and Innovation
- Software for quantifying shallow landslide hazards to transportation infrastructure under changing climate and forest management NE/N01300X/1
- UK Research and Innovation
- FORESEE – Future proofing strategies FOr RESilient transport networks against Extreme Events 769373
- European Commission