Software

Digger is a python package that provides a number of pre- and post-processing tools for landslide runout modeling. Many aspects of digger have been tailored for use with the D-Claw model. It may also be useful for initializing and postprocessing the results of other runout models. D-Claw requires input files and generates output files in very specific formats. Simulation output generates...

This repository contains a multimodal deep learning model to assess the deformation state of Mauna Loa given combined Interferometric Synthetic Aperture radar (InSAR) and Global Navigation Satellite System (GNSS) data. The multimodal model consists of two separate branches, one devoted to InSAR data and another devoted to GNSS data. All code necessary for the models to run and in support...

An introduction to version control for novices using Git and a guide for publishing USGS code. Please see https://cdi.code-pages.usgs.gov/usgs-git-and-software-release-course/ for a rendered version of this material.

Learn about the input parameters necessary for interacting with the M2M API scene-search endpoint.

Methods Summary This repository supports the manuscript "Invasion resistance varies by fuel break type in sagebrush ecosystems." The analysis evaluated the relationship between fuel break treatments and exotic annual grass cover across the sagebrush biome using two complementary approaches: 1. Space-for-Time Substitution Analysis: We used 52,109 Bureau of Land Management AIM vegetation...

This package provides a set of functions for the Everglades Depth Estimation Network (EDEN). EDEN is an integrated network of water-level gages, interpolation models that estimate daily water-level data at ungaged locations, and applications that generate derived hydrologic data across the freshwater part of the Greater Everglades landscape. This package contains the scripts that run the