Software

Greater sage-grouse (Centrocercus urophasianus; hereafter referred to as sage-grouse) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the West (Hanser & Knick, 2011; Rowland et al., 2006). They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great...

This code takes a catalog of earthquakes clustered by waveform similarity (e.g., REDPy) and processes the coda for each pair of earthquakes within each cluster/family for small, relative changes in seismic velocity. The causes of these velocity changes are a topic of active research. This code finds the optimal time stretching factor to either expand or condense one earthquake's coda...

In July 2017, a sinkhole collapse significantly impacted the Lake Padgett Estates community in Land O'Lakes, Florida. Two homes were destroyed, and seven others were condemned. Mitigation efforts involved partially filling the sinkhole and creating an open-water pond surrounded by shrubs. This tutorial explores how the Normalized Difference Vegetation Index (NDVI) can be used to analyze...

In this tutorial, we show the effects of radiometric saturation on the Surface Reflectance Bands for a single pixel from Mount Adams, Yakima, Washington. Mount Adams currently supports ten active glaciers, and has consistent snow cover. Thus, it is an excellent survey area to test radiometric saturation from reflective snow. Below, we retrieve and plot the values from all reflectance...

The pystac_client is a Python library that allows you to interact with STAC APIs. It is useful for querying the Landsat STAC API, which provides programmatic access to Landsat satellite imagery collections. In this notebook, we will show users how to use pystac_client to search for products within the Landsat STAC API.

This tutorial will demonstrate how to apply scale factors to Landsat Level-2 Surface Reflectance and Temperature datasets for Phoenix, Arizona. Phoenix is known for being one of the hottest cities in the United States, with surface temperatures reaching up to 80 degrees Celsius. In this tutorial, we will scale the NIR, RED, and LWIR (temperature band) bands of a single Landsat scene...

This software release contains code to create the fractional intersectional weights used to crosswalk data from the National Water Use Program to the National Integrated Water Availability Assessment (IWAAs) projects. The Watershed Boundary Dataset (WBD) contains polygons that define the spatial boundaries of hydrologic units. These are periodically updated as these boundary definitions...

R Code to Run Composition Sampling for Cook et al. 2023 The aim of this software is to perform composition sampling on simulated disease observation data. Composition sampling is a valuable approach for statistical inference in data limited systems. This software implements composition sampling on simulated chronic wasting disease surveillance data in white-tailed deer in Michigan, U.S...

This software release contains the input data, R scripts, and Rmarkdown visualization scripts. This includes (i) aggregation code of expert elicited parameter estimates, (ii) simulation code using our develop dynamic multi-state occupancy model for no management, proactive management, and reactive management, (iii) code for probabilistic decision trees, and (iv) Rmarkdown scripts...

RUSH is a tool for rapid repeat high resolution coastal vegetation maps to improve forecasting of hurricane impacts and coastal resilience. Natural coastal vegetated ecosystems, including tidal marshes, vegetated dunes, and shrub- and forest-dominated wetlands, provide nature-based solutions to climate-related impacts of hurricanes. Extensive research has shown that vegetation cover in...

Understanding changes in the timing and magnitude of streamflows available to maintain riverine biodiversity and ecological function, while also meeting the increasing societal demands on water resources, is a global priority. A rigorous quantification of seasonal changes in streamflow is needed to inform water management and policy under global change. We introduce a hierarchical...

The Digital Shoreline Analysis System (version 6) is a stand-alone desktop application that complements a Geographic Information System (GIS). The DSAS software requires users to input a reference baseline and compilation of shoreline positions to generate measurement transects and shoreline intersections used to calculate rate-of-change statistics. DSAS provides an automated method for...