Software

This release substantially improves support for working with datasets in a mix of coordinate reference systems. The release also introduces new classes for working with spatial metadata, adds confidence intervals to the Gartner 2014 volume model, adds support for additional unit systems, and improves the user experience when filtering the stream segments in a network.

RegionGrow3D (RG3D) is a software for computing slope stability on a regional scale within a three-dimensional (3D), limit-equilibrium framework. RG3D efficiently computes discrete, 3D landslide geometries throughout a digital landscape. Potential landslide source areas are identified and grown downhill until force equilibrium is achieved.

pfdf: A Python library to facilitate post-wildfire debris-flow hazard assessments and research. This release provides the core functionality needed to implement operational hazard assessments. This includes tools to: * Analyze watersheds * Delineate and filter stream segment networks * Compute earth-system variables for stream segments in a network * Assess debris-flow probabilities using the mo

Digger is a python package that provides a number of pre- and post-processing tools for working with the D-Claw model.

The computer program REGOLITH is a Fortran program designed for estimating soil thickness over a digital landscape. The program implements various published empirical and process-based models for soil thickness. This command-line program is used in conjunction with Python scripts to prepare input files and automate certain steps.

gfail_lifelines is a package for estimating lifeline impacts caused by earthquake-triggered ground failure. It currently contains one module, gfroads, that combines the USGS earthquake-triggered landslide model (the Nowicki Jessee et al. 2017 model) estimates of areal coverage with Open Street Map roads to estimate the probability of a given road segment being affected.

This software is for calculating earthquake-induced ground failure hazard (i.e., landslide and liquefaction). These models are intended for regional or global scale applications, and are intended to be distributed in near-real-time, triggered by the Shakemaps.

mLS is a function that estimates the landslide magnitude (mLS) from cutoff (smallest area that follows power law), beta (power-law exponent), and an array of areas derived from a landslide inventory following the methods of Tanyas and others (in prep). The function plots the best power-law fit for the medium and large landslides and the frequency-area distribution of the analyzed inventory. It als

Automate production of metadata following the USGS geospatial metadata format.