Data

Coastal vegetated ecosystems play a vital role in reducing hurricane impacts on nearby communities. Different types of vegetation and landcover create varying levels of drag that help lessen hazards such as flooding and erosion. However, coastal landcover is constantly changing due to storms, tides, waves, and human activities. Existing satellite landcover products, such as the annual...

This dataset contains high‑resolution orthomosaics, digital surface models (DSMs), vegetation masks, and a DSM of Difference (DoD) quantifying topographic change in Vaughn Canyon, Arizona, between UAS surveys conducted in 2020 and 2026. The DSMs were generated from imagery captured using DJI Phantom and DJI M3M platforms and processed in Agisoft Metashape. Bare‑earth pixels were isolated...

Raster data depicting estimated pronghorn (Antilocapra americana) energy expenditure required to move from each cardinal direction through the landscape under different scenarios of human impact: wind energy development (turbines), oil and gas development, no development, and oil and gas reclamation scenarios.

This dataset includes annualized raster images of stinknet (Oncosiphon pilulifer (L. f.) Källersjö) classification in south central Arizona from 2017 - 2025. The mapped area is comprised of Maricopa, Pinal, and Pima counties. The random forest model was created using 2019 imagery and was applied to imagery in other years. Training location data was created with the aid of National...

The datasets within this release were surveyed to characterize the fuel and vegetation conditions within and around three fuel break study areas near Arco, ID, from June 7-8 and July 2, 2024. The UAS flights that produced this data are part of a larger effort to test UAS image capture technology to classify rangeland fuel types and fuel metrics. These data will be used to compare...

These data support the publication: "Alternatives to NDVI for tracking vegetation dynamics in evergreen ecosystems of the western United States". The file contains 1) annual peak information (value and timing) of vegetation indexes at 12 phenocams and from co-located Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data (daily 500-m Nadir Bidirectional Reflectance...

This data release provides 10-meter vegetation and land-use/land-cover (LULC) maps for the Santa Margarita Ranch and the surrounding Altar Valley and Brawley Wash region of southern Arizona. Maps were generated for 2024 using two complementary Random Forest classification approaches implemented in Google Earth Engine (GEE): (1) a seasonal Sentinel-2 (S2) spectral–topographic model based...

This data release includes a shapefile of crop type parcels located in the Central Valley of California for the year 2020. These crop types were generated using Google Satellite Embeddings product as the sole input imagery and trained using labeled crop type data with a random forest classifier. There is a total of 9 different crop type classes.

Riparian systems across the southwestern United States are immensely important ecosystems and serve as biodiversity hotspots for a number of plant and animal species. However, recent challenges including non-native vegetation expansion, increased wildfire activity, and widespread vegetation die-offs, have substantially impacted the conditions of these ecosystems. This study was...

Riparian systems across the southwestern United States are immensely important ecosystems and serve as biodiversity hotspots for a number of plant and animal species. However, recent challenges including non-native vegetation expansion, increased wildfire activity, and widespread vegetation die-offs, have substantially impacted the conditions of these ecosystems. This study was...

Data supporting the journal article titled "Influence of modeling assumptions on pedestrian evacuation success for non-eruptive lahar hazards at Mount Rainier, Washington" as described in the abstract: Previous efforts to characterize lahar threats posed to communities downstream of volcanoes have focused primarily on delineating hazard zones that lack information on lahar-arrival times...

This dataset contains a 6‑class soils map (30-meter) for the Los Planes basin in Baja California Sur, Mexico. The map was generated using a digital soil mapping approach that incorporates environmental covariables following the SCORPAN (soil, climate, organisms, topography, parent material, age, and time) framework. The data release also includes a point feature class representing...