Software

The syntheticdv2lff repository contains R language source code that document the workflow to compute low-streamflow (low-flow) frequency (LFF) statistics from previously estimated streamflow at level-12 hydrologic unit code (HUC12) pour points (watershed outlet locations) in the south-central and southeastern United States for 1950 through 2010 and associated bias correction. LFF statistics comput

For some sites and constituents the three dimensions of the Weighted Regressions on Time, Discharge, and Season (WRTDS) model do not capture all the important aspects of water quality variability. For example, in some locations hysteresis or antecedent flow conditions are important influences on water quality concentration and loads. In other places, daily flow is less predictive than the quick fl

MapMark4 is a software package originally released by Ellefsen (2017) that implements the probability calculations in three-part mineral resource assessments (Singer and Menzie, 2010). The name is derived from the descriptive phrase “mineral assessment program mark4”—the name “mark4” is chosen because the previous, similar program was called “mark3”. Functions within the software package are writt

Extreme weather events, such as heatwaves, are becoming more frequent and intense as a result of climate change. Importantly, such extreme weather events can be more important drivers of extirpation and selection than changes in annual or seasonal averages and they pose a particularly large threat to poikilothermic organisms. In this study, we evaluate the thermal stress response of a coldwater ad

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.

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 Plains of

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 waveform to m

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 changes in

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 bands for the

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 acquired over