Data

This data set contains tabular simulation model output from the Land Use and Carbon Simulator (LUCAS) summarizing annual changes in land use and land cover (LULC), ecosystem carbon stocks and ecosystem carbon fluxes within 62 U.S. Department of Defense (DOD) installations covering a total land area of approximately 106 hectares across the contiguous United States (CONUS) from 2001 to...

This dataset consists of annual raster maps of projected future ecosystem carbon stocks and fluxes, land use and land cover (LULC) classes, and LULC transitions for California, U.S. from 2021-2065. Data are simulation model output from the Land Use and Carbon Simulator (LUCAS; Sleeter et al. 2022) run under different future climate and land management scenarios. LUCAS model simulations...

This data release contains Soil Water Assessment Tool (SWAT) outputs (.shp) for three precipitation scenarios for the Los Planes watershed in Baja California Sur, Mexico. The inputs used are publicly available low-resolution data from international sources to produce uncalibrated baseline model conditions. The outputs for each scenario include annual average surface runoff (mm), sediment...

This data release includes raster images of pre- and post-wildfire surface soil moisture modeled from Landsat Thermal-infrared and Sentinel-1A synthetic aperture radar for three fires that took place in the state of California (USA) between 2016 and 2017 and associated unburned, control locations for each wildfire. The model was trained and validated using In situ soil moisture data...

Data tables and data references supporting the journal article titled: "Estimated average annualized losses from potential building damage and fatalities due to earthquake-generated tsunamis in the United States." Earthquake-generated tsunamis represent substantial economic threats to states and territories in the United States (U.S.), but we are unaware of any effort to quantify...

Data that support the journal article titled “Earthquake-hazard exposure of populations with potential access and functional needs in the United States” as described here: Earthquake response plans and earthquake early warning (EEW) systems designed for general populations may not consider potential access and functional needs (AFN) of individuals with physical, sensory, cognitive, or...

We mapped cheatgrass at different scales in the Greater Yellowstone Ecosystem using 10-m Sentinel-2 imagery, 3-m PlanetScope, and 10-cm Unoccupied Aerial Systems (UAS) imagery. We compared these maps to field-collected data to address 1) variation in seasonal phenological signals of native and cheatgrass patches, 2) the influence of scale on detectability and map accuracy across our...

These data are structure from motion products from UAS providing high topographical and true-color imagery detail over a subregion within the Los Planes Watershed in La Paz, Mexico. This is part of an ongoing research partnership with the U.S. Geological Survey (Aridland Water Harvesting Study), U.S. Water Partnership (USWP), and Innovaciones Alumbra to monitor eco-hydrological feedbacks...

Data supporting the journal article titled “Variations in road exposure and traffic volumes in the United States in areas susceptible to landslides.” There have been many efforts in the United States (U.S.) to identify landslide threats for specific roads, but no efforts to examine the entire national road system. We use geospatial tools to estimate the length and percentage of total...

This carbon dataset is generated from the parallel Integrated Biosphere Simulator (pIBIS). Annual carbon variables cover 1985-2020 at 1-km (990m) spatial resolution. All the variables are in NetCDF format. Each variable has 36 layers, 2960 rows, 4677 columns, and in WGS_1984_Albers projection. A single layer mask file TIF is provided. Carbon stock and flux units are in kgC/m2 and kgC/m2...

Classified map of crop types in California's Central Valley generated using artificial neural network multilayer perceptron models and Harmonized Landsat-8 Sentinel-2 Landsat 30m (HLSL30) data. The model was trained on data from the year 2021 and validated on the independent year 2022.

Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P14EHY3V. This dataset consists of annual raster maps of ecosystem carbon stocks, land use and land cover classes, and transition probabilities for the State of California during historical (1985-2020) and projected future (2021-2100) time periods. Data are simulation model output from the...