Software

Landsat Quality Assessment (QA) bands provide helpful information for evaluating the overall usefulness of individual pixels. Each pixel in the QA band contains an integer value that represents bit-packed combinations of surface, atmospheric, and sensor conditions that can affect pixel quality. The Landsat QA Toolbox will allow users to extract those bits of QA information on ArcPro and...

In this tutorial, we demonstrate the process of accessing Landsat data files through the STAC API and the AWS command-line tools, specifically the requester-pays functionality. Users can define their spatial and temporal parameters to query and download multiple Landsat data band files.

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...

This software contains the data processing for nationwide landslide research described in Mirus et al. 2024, Parsimonious landslide-susceptibility modeling at continental scales: Application for the conterminous United States, Hawaii, Alaska, and Puerto Rico. To perform geospatial processing over the large geographic area, each 1/3 arc-second (10-meter) Digital Elevation Model (DEM) is...

This DOI is for the v1.0.0 release of the python library lasertram: a tool dedicated to the processing of time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data

Listing Analyst has been modified to work with the Groundwater Transport process in MODFLOW 6.

ListingAnalyst is a program for viewing the main output file from MODFLOW-2005, MODFLOW-NWT, MODFLOW-LGR, MODFLOW-CFP, MODFLOW-OWHM, and MODFLOW 6.

This is scientific code released to support the paper Low Flow Period Seasonality Trend And Climate Linkages Across The United States.

This tutorial demonstrates how to query using metadata specific to the various collections of Landsat data. We use the following Machine-to-Machine API filters: metadataValue, metadataBetween, metadataAnd, and metadataOr. Users can view queryable metadata after following one of these steps (1) Submitting a dataset-filters query and listing the results (2) Submitting a search on Earth...

This notebook shows how to download Landsat Collection 2 bands, bundles, and band groups using the M2M API. In this context, "bands" refer to individual band files in TIF format, "bundles" include all files for a product(s) as .tar files, and "band groups" include downloading all files for a given product(s) as individual files (unpacked from the .tar file within a bundle). The area of...

This tutorial is designed to guide users through metadata filtering for Landsat-9 satellite data within the Landsat 8-9 Operational Land Imager and Thermal Infrared Sensor Collection 2 Level-2 dataset. The chosen location for use is Albemarle Sound, a large estuarine body of water in northeastern North Carolina, United States. The emphasis on metadata filtering is crucial, especially...

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...