Software
An official USGS software project is code reviewed and approved at the bureau-level for distribution.
Filter Total Items: 948
SSEBop ESPA Open Source SSEBop ESPA Open Source
The operational Simplified Surface Energy Balance (SSEBop) Earth Resources Observation and Science center (EROS) Science Processing Architecture (ESPA) Open Source project provides tools for processing satellite imagery data to generate evapotranspiration (ET) products. The tools include functionalities for: Processing ESPA files to generate ET fraction (ETf) and actual...
SSEBop ESPA ArcGIS SSEBop ESPA ArcGIS
The operational Simplified Surface Energy Balance (SSEBop) Earth Resources Observation and Science center (EROS) Science Processing Architecture (ESPA) Open Source project provides tools for processing satellite imagery data to generate evapotranspiration (ET) products. The tools include functionalities for: Processing ESPA files to generate ET fraction (ETf) and actual...
Example application of MetaIPM to the Illinois River v2.0 Example application of MetaIPM to the Illinois River v2.0
This repository contains an example application of the Meta-IPM Python package (https://doi.org/10.5066/P9427H6M). The specific application focuses on the Illinois River using existing public data. The code for this project assumes the reader is familiar with Jupyter Notebooks, enough Conda and Python to install the Meta-IPM package, and population ecology. The example also assumes the...
Model Viewer: A Program for Three-Dimensional Visualization of Groundwater Model Results Model Viewer: A Program for Three-Dimensional Visualization of Groundwater Model Results
ModelViewer is a program for three-dimensional visualization of groundwater model results.
UASsbs - Classifying UAS soil burn severity and scaling up to satellite with Python UASsbs - Classifying UAS soil burn severity and scaling up to satellite with Python
Classifying UAS soil burn severity and scaling up to satellite with Python
MetaIPM: A Meta-population Integral Projection Model v 2.0 MetaIPM: A Meta-population Integral Projection Model v 2.0
MetaIPM is a Python package (Python Software Foundation 2020) that models meta-population dynamics and continuous growth rates via an integral projection model (IPM) for species living in distinct habitat patches. The package stems from a model that compares invasive carp population control strategies (Erickson et al. 2018). For example, Erickson et al. (2017) used an R predecessor...
Code for Human activity drives establishment, but not invasion, of non-native plants on islands Code for Human activity drives establishment, but not invasion, of non-native plants on islands
This software release contains 7 R markdown files, the contents of which are described below. The raw data analyzed in these files is available at the following DOI: https://scholarworks.umass.edu/data/175/ 1. SEMs_Native.Rmd - Code for the piecewise structural equation model (pSEM) that predicts native plant richness on islands using the covariates described in the manuscript. -
ArrayAbundance: An R package to explore and model detection data from antenna arrays ArrayAbundance: An R package to explore and model detection data from antenna arrays
#ArrayAbundance: An R package to explore and model detection data from antenna arrays The goal of Rpackage is to help modelers format passive integrated transponder (PIT) tag array detection data for data exploration and for analysis with mark-recapture models. The package includes functions to categorize array detection data into movement categories (e.g., migratory movement versus...
surface-water-geospatial-data-assembly surface-water-geospatial-data-assembly
The hyswap-geospatial-data-assembly contains function scripts that acquire and pre-process geospatial data used as input for hyswap (HYdrologic Surface Water Analysis Package), a Python package with functions for manipulating hydrologic data and visualizing current conditions with a historical context. hyswap-gda supports hyswap by providing functions that process required spatial inputs...
WAECAST WAECAST
WAECAST allows managers to input lake characteristics to determine the likelihood of stocking success based on data in the models in this study. Additionally, projections of Walleye stocking success that consider climate change are provided as part of the tool to understand the potential future impacts of lake warming.
Example code for implementing physics-informed neural networks and generating simulated data Example code for implementing physics-informed neural networks and generating simulated data
There are 2 Jupyter notebooks that are example code for implementing a physics informed neutral network, and the code is companion to the manuscript entitled: "Spatio-temporal ecological models via physics-informed neural net- works for studying chronic wasting disease" by Reyes et al. (2024). The first notebook simulates data, and the second notebook uses this simulated data when...
Ecosystems-nabat-FPabund: software for fitting false-positive N-mixture models using NABat mobile acoustic data (version 1.0.0) Ecosystems-nabat-FPabund: software for fitting false-positive N-mixture models using NABat mobile acoustic data (version 1.0.0)
The primary purpose of this software is to document the analytical methods and code used to fit false-positive N-mixture models and make status and trends predictions from: "Using mobile acoustic monitoring and false-positive N-mixture models to estimate abundance and trends for three bat species affected by White-nose syndrome" by Udell et al. 2024. In particular, these methods were...