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This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
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This dataset consists of short-term (~31 years) shoreline change rates for the north coast of Alaska between the Point Barrow and Icy Cape. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1979 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
Collection of orthorectified images from aerial photograph of wetlands at the U.S. Geological Survey's Cottonwood Lake Study Area, Stutsman County, North Dakota. This collection of images was acquired during July and early August from 1975 to 2015. Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.
Collection of orthorectified images from aerial photograph of wetlands at the U.S. Geological Survey's Cottonwood Lake Study Area, Stutsman County, North Dakota. This collection of images was acquired during July and early August from 1975 to 2015. Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.
Collection of orthorectified images from aerial photograph of wetlands at the U.S. Geological Survey's Cottonwood Lake Study Area, Stutsman County, North Dakota. This collection of images was acquired during July and early August from 1975 to 2015. Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.
Collection of orthorectified images from aerial photograph of wetlands at the U.S. Geological Survey's Cottonwood Lake Study Area, Stutsman County, North Dakota. This collection of images was acquired during July and early August from 1975 to 2015. Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.
Collection of orthorectified images from aerial photograph of wetlands at the U.S. Geological Survey's Cottonwood Lake Study Area, Stutsman County, North Dakota. This collection of images was acquired during July and early August from 1975 to 2015. Aerial photographs of wetlands in the Cottonwood Lake Study Area were collected in order to facilitate a better understanding of the influence of natural climate variability on the vegetation of prairie wetland ecosystems.
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This USGS data release presents data collected during surveys of nearshore bathymetry and beach topography from northern Monterey Bay, California. Survey operations were conducted between October 20 and October 24, 2014 (USGS Field Activity Number 2014-676-FA). Nearshore bathymetry data were collected using two personal watercraft (PWCs), each equipped with single-beam echosounders and survey-grade global navigation satellite system (GNSS) receivers. Topography data were collected using an all-terrain vehicle equipped with a GNSS receiver and on foot with GNSS receivers mounted on backpacks. Positions of the survey platforms were referenced to a GNSS base station with known horizontal and vertical coordinates. Depths...
Tags: AGS
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Model, data, and state files to view a 3D geophysical model of the Northwest Geysers. This includes electrical resistivity models developed from the data included here. The files provided can be loaded into Paraview (a free 3D viewing software https://www.paraview.org/) so that the user can observe and interact with the 3D model.
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High-resolution single-channel minisparker seismic-reflection data were collected by the U.S. Geological Survey in September and October 2006 offshore Bolinas to San Francisco, California. Data were collected aboard the R/V Lakota, during field activity L-1-06-SF. Minisparker data were collected using a SIG 2-mille minisparker sound source combined with a single-channel streamer, and recorded with a Triton SB-Logger.
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This metadata describes a digital elevation model (DEM) created from bathymetric and topographic data collected between 2017 and 2019 in the Sacramento River Deep Water Ship Channel (DWSC), northern Sacramento-San Joaquin Delta, California. We merged the newly collected bathymetric and topographic data presented in this data release (DOI:10.5066/P9AQSRVH) with 2019 surveys by the California Department of Water Resources (DWR) and 2017 USGS Sacramento Delta Lidar, to produce a seamless digital elevation model of the DWSC at a grid resolution of 1 m.
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...
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DATA ACCESS: See below under 'Attached Files' - click to download zip file package. Summary: The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Phase 2 data for Southern...


map background search result map search result map CoSMoS 3.0 Phase 2 flood hazard projections: 100-year storm in San Diego County CoSMoS 3.0 Phase 2 flood depth and duration projections: 20-year storm in San Diego County CoSMoS 3.0 Phase 2 flood depth and duration projections: 1-year storm in San Diego County CoSMoS 3.0 Phase 2 wave-hazard projections: 1-year storm in San Diego County CoSMoS 3.0 Phase 2 ocean-currents hazards: 100-year storm in Santa Barbara County CoSMoS 3.0 Phase 2 ocean-currents hazards: 1-year storm in Ventura County Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between the Point Barrow and Icy Cape CoSMoS 3.0 Phase 2 water level projections: 20-year storm in Orange County CoSMoS 3.0 Phase 2 water level projections: average conditions in Orange County Beach topography and nearshore bathymetry of northern Monterey Bay, California, October 2014 Minisparker seismic-reflection data from field activity L-1-06-SF collected offshore Bolinas to San Francisco, California from 2006-09-25 to 2006-10-03 Edwin B. Forsythe NWR, NJ, 2010 Digital elevation model (DEM) of the Sacramento River Deep Water Ship Channel (DWSC), Sacramento-San Joaquin Delta, California Beach topography and nearshore bathymetry of northern Monterey Bay, California, October 2014 Digital elevation model (DEM) of the Sacramento River Deep Water Ship Channel (DWSC), Sacramento-San Joaquin Delta, California CoSMoS 3.0 Phase 2 ocean-currents hazards: 1-year storm in Ventura County CoSMoS 3.0 Phase 2 ocean-currents hazards: 100-year storm in Santa Barbara County CoSMoS 3.0 Phase 2 water level projections: 20-year storm in Orange County CoSMoS 3.0 Phase 2 water level projections: average conditions in Orange County Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between the Point Barrow and Icy Cape Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River CoSMoS 3.0 Phase 2 flood hazard projections: 100-year storm in San Diego County CoSMoS 3.0 Phase 2 flood depth and duration projections: 20-year storm in San Diego County CoSMoS 3.0 Phase 2 flood depth and duration projections: 1-year storm in San Diego County CoSMoS 3.0 Phase 2 wave-hazard projections: 1-year storm in San Diego County