Filters: Categories: NOT Data Release - In Progress (X) > Date Range: {"choice":"day"} (X) > Types: Map Service (X)
6 results (281ms)
Filters
Date Types (for Date Range)
Contacts
Categories Tag Types Tag Schemes |
The Landsat-based Irrigation Dataset (LANID) uses a random-forest machine-learning model with greenness and vegetative indices, climate data, and crop masks to identify irrigated crops (Xie and others, 2021, Xie and Lark, 2021). Separate western US and eastern US methods are used to train and validate the model. Annual LANID maps for 2018-20 were created using the same techniques in Xie and others, 2021, and Xie and Lark, 2021.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conterminous United States (CONUS),
irrigation,
landuse,
water use
This data set represents multi-period response spectra (MPRS) results for 36 Alaska test sites using the 2023 National Seismic Hazard Model for the state of Alaska. The data sets includes (1) probabilistic seismic hazard curves (full and truncated) for peak ground velocity (PGV), peak ground acceleration (PGA), and spectral accelerations at 21 spectral periods from 0.01 to 10 seconds and (2) uniform-hazard ground motion values for 2, 5, and 10% in 50 years probability of exceedance (PE) (corresponding to 2,475, 975, and 475-year return periods, respectively) and 1% in 100 year PE (corresponding to a 10,000-year return period). Results are provided for Vs30s (time-averaged shear-wave velocity [VS] in the upper 30...
This dataset represents probabilistic seismic hazard curves and uniform-hazard ground motion values calculated for a grid of points with a spacing of 0.2 degrees in latitude and longitude for the state of Alaska using the 2023 National Seismic Hazard Model (NSHM) for the state of Alaska. The dataset includes (1) probabilistic seismic hazard curves (full and truncated) for peak ground acceleration (PGA), and spectral acceleration for 0.2, 1.0, 2.0, and 5.0 seconds and (2) uniform-hazard ground motion values for 2, 5, and 10% in 50 years probability of exceedance (PE) (corresponding to 2,475, 975, and 475 year return periods, respectively) for each grid point. Results are provided for site classes BC and D, which...
This dataset contains earthquake catalogs compiled for Alaska from U.S. Geolgical Survey (USGS) Advanced National Seismic System (ANSS) Comprehensive Earthquake Catalog (ComCat) (USGS, 2017) and Natural Resources Canada (NRCan) Canadian National Earthquake Database (NRCan, 1985) catalog searches and processed following the methods of Mueller (2019) and Llenos et al. (2024). Catalogs are deculstered using multiple methods and segregated into crustal, subduction interface, and subduction intraslab catalogs using Slab2 (Hayes, 2018).
This data release provides a monthly irrigation water use reanalysis for the period 2000-20 for all U.S. Geological Survey (USGS) Watershed Boundary Dataset of Subwatersheds (Hydrologic Unit Code 12 [HUC12]) in the conterminous United States (CONUS). Results include reference evapotranspiration (ETo), actual evapotranspiration (ETa), irrigated areas, consumptive use, and effective precipitation for each HUC12. ETo and ETa were estimated using the operational Simplified Surface Energy Balance (SSEBop, Senay and others, 2013; Senay and others, 2020) model executed in the OpenET (Melton and others, 2021) web-based application implemented in Google Earth Engine. Results provided by OpenET/SSEBop were summarized to hydrologic...
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conterminous United States (CONUS),
USGS Science Data Catalog (SDC),
evapotranspiration,
irrigation,
landuse,
The U.S. National Seismic Hazard Model (NSHM) for the state of Alaska was updated in 2023 as part of the 50-state NSHM update. The new model incorporates more than 15 years of additional science since the release of the previous model in 2007 and has been reviewed by a six-member review panel and a supplementary eight-member team of ground motion model developers. This time-independent probabilistic seismic hazard model applies new earthquake catalogs, declustering algorithms, gridded seismicity models, magnitude-scaling relations, geologic and geodetic deformation models, and ground motion models. This data release supports the 2023 Alaska NSHM and includes the seismicity catalogs used to develop the model, hazard...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Geophysics,
NSHM,
NSHMP,
National Seismic Hazard Map,
|
|