Skip to main content
U.S. flag

An official website of the United States government

Data

Filter Total Items: 247

Slope-Relief Threshold Landslide Susceptibility Models for the United States and Puerto Rico

Landslide susceptibility maps are essential tools in infrastructure planning, hazard mitigation, and risk reduction. Susceptibility maps trained in one area have been found to be unreliable when applied to different areas (Woodard et al., 2023). This limitation leads to the need for a national map that is higher resolution and rigorous, but simple enough to be applied to diverse terrains and lands

Datasets documenting late Pleistocene faulting in the Pondosa fault zone, Pit River Region, Northeastern California

These datasets provide bedrock mapping and geochemistry, low-temperature thermochronology, remotely mapped lineaments, field observations of interpreted faults, and structure from motion models in the Pit River Region of northeastern California. The bedrock mapping datasets contain bedding orientations and field rock descriptions and associated geochemistry and 40Ar/39Ar data for a limited number

Earthquake geology inputs for the National Seismic Hazard Model (NSHM) 2023 (central and eastern United States), version 1.0

This Data Release contains three related databases for the Central and Eastern United States: 1) A fault sections database ("NSHM2023_FaultSections_CEUS_v1"), which depicts the geometry of faults capable of hosting independent earthquakes, 2) A fault zone polygon database ("NSHM2023_FaultPolygons_CEUS_v1"), which depicts the geometry of distributed fault zones capable of hosting repeated large mag

Datasets documenting limited evidence of Late Pleistocene tectonic surface deformation in the Eastern Tennessee Seismic Zone, Tennessee, USA

These datasets provide lineament mapping, catchment-averaged metrics of hypsometry and channel steepness, field observations, and a structure from motion model and orthomosiac photograph of sites in the Eastern Tennessee seismic zone in eastern Tennessee, USA. The lineament mapping contains linework of possible neotectonic features mapped from 1-m lidar data. Catchment-averaged metric of hypsometr

Datasets documenting neotectonic mapping of Puerto Rico

This data release documents neotectonic mapping of fault-related features on high-resolution lidar-derived topography, data documenting an exposure of the South Lajas fault, and summary information for active and potentially active Quaternary faults on the island of Puerto Rico. The data documenting the exposure of the South Lajas fault include detailed unit descriptions, radiocarbon sample descri

Earthquake geology inputs for the National Seismic Hazard Model (NSHM) 2025 (Puerto Rico and U.S. Virgin Islands), version 1.0

This Data Release contains preliminary versions of three related geologic input databases for the Puerto Rico and U.S. Virgin Islands (PRVI) region (62°–70° W and 16°–21° N) of the United States: 1) A fault sections database (“NSHM2025_FaultSections_PRVI_v1’”), which depicts the geometry of faults capable of hosting independent earthquakes, 2) a fault-zone polygon database ("NSHM2025_FaultPolygons

Rock mass quality and structural geology observations in northwest Prince William Sound, Alaska from the summer of 2021

Multiple subaerial landslides adjacent to Prince William Sound, Alaska (for example, Dai and others, 2020; Higman and others, 2023; Schaefer and others, 2024) pose a threat to the public because of their potential to generate ocean waves (Dai and others, 2020; Barnhart and others, 2021; Barnhart and others, 2022) that could impact towns and marine activities. One bedrock landslide on the west side

Spectral reflectance data of rock and soil in Prince William Sound, Alaska

An ASD FieldSpec 4 Hi-Res NG Spectroradiometer was used to collect the reflectance properties of soil and rock in Prince William Sound (Figure 1). Reflectance is a property of the material being observed, being the ratio of the amount of light leaving a target to the amount of light striking the target. Reflectance is a unitless value from 0 to 1, where a value of 0 indicates that the material abs

Compilation of runoff-generated debris-flow inventories for 18 fires across Arizona, California, Colorado, New Mexico, Utah, and Washington, USA

Description This data release is an inventory of runoff-generated postfire debris flows compiled from 18 burn areas across six western U.S. states. Debris-flow data from the following fires are included: Arizona: 2019 Museum, 2021 Flag, and 2022 Pipeline Fires California: 2014 Silverado, 2015 Valley, 2019 Briceburg, 2020 Dolan, 2020 El Dorado, 2020 Lake, and 2021 Dixie Fires Colorado: 2020 Camer

Postfire Debris-Flow Database (Literature Derived)

The data presented in this data release represent observations of postfire debris flows that have been collected from publicly available datasets. Data originate from 13 different countries: the United States, Australia, China, Italy, Greece, Portugal, Spain, the United Kingdom, Austria, Switzerland, Canada, South Korea, and Japan. The data are located in the file called “PFDF_database_sortedbyRef

Debris Flow, Precipitation, and Volume Measurements in the Grizzly Creek Burn Perimeter June 2021-September 2022, Glenwood Canyon, Colorado (ver. 1.1, October 2023)

This data release contains data summarizing observations within and adjacent to the Grizzly Creek Fire, which burned from 10 August to 18 December 2020. This monitoring data summarizes precipitation, observations of debris flows, and the volume of sediment eroded during debris flows triggered during the summer monsoonal period in 2021 and 2022.   Summary rainfall data 2021 (1a_Storm_matrix_2021_gr

Landslide Inventory for Chuuk, Federated States of Micronesia (FSM) 2003 - 2022

Landslides hazards pose a serious threat to people and infrastructure in the Federated States of Micronesia (FSM). To develop a comprehensive understanding of the landslides hazards in FSM, the USGS-USAID Landslide Disaster Assistance Team (LDAT) has put together landslide inventories for each state using satellite imagery. Mapping was done using RGB satellite imagery from Maxar, Planet Labs, and
Was this page helpful?