Software

This software automatically generates synthetic elevation checkpoints suitable for assessing the vertical error on remotely-sensed topographic data such as Digital Elevation Models (DEMs), Digital Surface Models (DSMs), and point clouds. The software ingests a user-provided timeseries of DEMs, a road polyline dataset, and an impervious surface classification in order to place synthetic...

This software was developed using the statistical program R (R Core Team 2024) to compile multiple wildlife tracking datasets that contain locations of animals recorded through time. The software is organized through a series of scripts that run hierarchically through script sourcing. To demonstrate how the software works, we simulated four wildlife tracking datasets, each representing...

The need to assess the effects of variability in climate, biota, geology, and human activities on water availability and flow can be assessed with computer models that simulate the hydrologic cycle at a watershed scale. The Precipitation-Runoff Modeling System (PRMS) is a deterministic, distributed-parameter, physical process-based modeling system developed to evaluate the response of...

Github repository that contains python code workflows for generating 3-dimensional images of topography, hydrography, and other remote sensing data with Blender, an open-source visualization software.

This R script inputs animal tracking data and segments the time series for each individual animal into sequential periods of stops and movements. The algorithm identifies stops based on two influential user-defined thresholds: 1) a distance threshold (hereafter 'Dist') that defines the upper limit of spatial displacement permissible while occupying a stop, and 2) a duration threshold...

Birds were surveyed using time-to-detection count methods across Uganda from 1985 to 2011. This code analyzes these data (from the associated data release) to test for relationships between tree cover, time (year), and species richness and occupancy.

In this tutorial users will learn how to verify downloaded files by generating checksums and comparing them to those provided by different endpoints in the M2M API.

This pipeline uses the data from the 2012 regional Sparrow models (see **Input datasets** below) to produce four types of outputs: 1. Maps of SPARROW-estimated total nitrogen, total phosphorus, and total suspended-sediment yields and concentrations across the conterminous United States (CONUS); 2. Bar plots showing the amount of total nitrogen, total phosphorus, and suspended sediment...

This software release consists of R shiny code for a site prioritization tool for invasive species management: https://rconnect.usgs.gov/site-prioritization-tool/

The spread of non-native dreissenid mussels across North America has resulted in significant ecological and economic damage. Management efforts implementing early detection efforts (including watercraft inspections) may help reduce potential spread and new introductions, but optimizing effective deployment of these efforts in a resource-constrained environment is challenging. Raymond et...

This release allows users to select the CRS of exported files, and to specify alternate configuration files. The release also updates wildcat’s backend for compatibility with pfdf 3+. Documentation: https://ghsc.code-pages.usgs.gov/lhp/wildcat/ Release Notes: https://ghsc.code-pages.usgs.gov/lhp/wildcat/resources/release-notes/1.1.0.html

Mapping soil geochemistry across large spatial extents is essential for understanding mineral distributions and their environmental implications. However, rasters of soil geochemical distributions for the United States are limited. We present a Bayesian modeling framework for generating predictive geochemical distribution maps using integrated nested Laplace approximation in R (R-INLA).