Code to partially reproduce the results of geosciences-250279 paper.
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Updated
Jul 24, 2023 - Python
Code to partially reproduce the results of geosciences-250279 paper.
Set of functions to use synthetic aperture radar (SAR) time series for geomorphic analysis. See more in our paper here: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019JF005141
Demonstrations of slm analysis
Provides a data structure to store channel centerlines and compute geomorphic and kinematics parameters
Python code to simulate crater formation and evolution on a landscape, where the topography is given as a LandLab model grid object.
Application of Werner's algorithm to modeling of wind-blown dunes
A conda-smithy repository for whitebox.
MinGrid creates a gridded DEM from point clouds by the minimum elevation per grid cell
Supporting code for Johnston et al. "Quantifying the effect of precipitation on landslide hazard in urbanized and non-urbanized areas" published in Geophysical Research Letters
Geomorphysics Python library
Modeling the size of co-seismic landslides via data-driven models: the Kaikōura's example
An analytical model to solve for 2D landscape evolution using the stream power law
Interactive map of land surface types of Poland
Multiple Flow Direction (MFD) flow routing after Freeman (1991)
Flow accumulation on TINs of point-cloud data
Roughly maps the extent of basins, basin edges, and mountains in the Imperial Valley by grouping terrain classes from the Iwahashi et al. 2021 California terrian classification model.
High-resolution geomorphological clustering of Poland
It is avaliable for the labrotary experiment, especially for the flume experiment.
Through collaboration with the College of Charleston and the USDA Forest Service Southern Research Station a soils technical report was created using SQL for data mining and graphs generated in R.
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