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This project used previously collected ShoreZone imagery to map nearly 1,600 km of coastline between Wales and Kotzebue. With additional mapping supported by the Arctic LCC and National Park Service, this effort completed the Kotzebue Sound shoreline, which now has been included in the state-wide ShoreZone dataset. The complete ShoreZone dataset for the region was used to conduct a coastal hazards analysis and create maps that identify areas undergoing rapid coastal erosion and areas that are sensitive to inundation by storm surge and sea level rise
Categories: Data; Tags: BEACHES, BEACHES, COASTAL AREAS, COASTAL AREAS, COASTAL LANDFORMS, All tags...
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First Release: November 2018 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 v3.1 for Central 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. Data for Central California covers the coastline from Pt. Conception to Golden Gate Bridge....
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Attempts to stabilize the shore can greatly influence rates of shoreline change. Beach nourishment in particular will bias rates of observed shoreline change toward accretion or stability, even though the natural beach, in the absence of nourishment, would be eroding. Trembanis and Pilkey (1998) prepared a summary of identifiable beach nourishment projects in the Gulf Coast region that had been conducted before 1996. Those records were used to identify shoreline segments that had been influenced by beach nourishment. Supplemental information regarding beach nourishment was collected from agencies familiar with nourishment projects in the State. All records were compiled to create a GIS layer depicting the spatial...
Abstract (from http://www.bioone.org/doi/abs/10.2112/JCOASTRES-D-13-00202.1): Traditional long-term (decadal) and large-scale (hundreds of kilometers) shoreline change modeling techniques, known as single transect, or ST, often overfit the data because they calculate shoreline statistics at closely spaced intervals along the shore. To reduce overfitting, recent work has used spatial basis functions such as polynomials, B splines, and principal components. Here, we explore an alternative to such basis functions by using regularization to reduce the dimension of the ST model space. In our regularized-ST method, traditional ST is an end member of a continuous spectrum of models. We use an evidence information criterion...
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Unaltered Beach This layer is an outdated version of one of the South Atlantic LCC indicators in the beach and dune ecosystem. It is an index of altered beaches capturing impacts from hardened structures like jetties, groins, and infrastructure. This indicator was updated in Blueprint 2.2 to incorporate more recent data from the Coastal Barrier Resources System, which is used to set the boundaries of undeveloped beaches. The updated indicator was also extended to new areas of the beach and dune ecosystem map. Reason for Selection Altered beaches (including human developments along shorelines, jetties, groins, seawalls, revetments, and other structures) provide a measure of overall habitat alteration. Human infrastructure...
Recommended citation:Rice, T.M. 2017. Inventory of Habitat Modifications to Sandy Oceanfront Beaches in the U.S. Atlantic Coast Breeding Range of the Piping Plover (Charadrius melodus) as of 2015: Maine to North Carolina. Report submitted to the U.S. Fish and Wildlife Service, Hadley, Massachusetts. 295 p.This report describes a project that inventoried modifications to both tidal inlet and sandy, oceanfront beach habitats along the Atlantic coast from Maine through North Carolina. Three distinct time periods were assessed: before Hurricane Sandy (early 2012), immediately after Hurricane Sandy (November 2012), and three years after Hurricane Sandy (2015) to document modifications to sandy beaches and tidal inlet...
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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 3.2 for Northern 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. Data for Northern California covers the coastline from Golden Gate Bridge to the California-Oregon state border.
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The Bureau of Ocean Energy Management (BOEM) is supporting a field effort in support of a ShoreZone mapping project along the Chukchi and Beaufort coasts. Funds from the LCC will allow for the inclusion of three additional ShoreStations. Researchers will conduct ground surveys to get detailed physical and biological measurements throughout the various and often unique Chukchi and Beaufort coastal habitats. Sediment samples will be archived from each shore station for hydrocarbon analyses in the event of a local or regional oil spill. The Arctic ShoreZone Shore Stations will be added to the statewide database and made available online to the public NOAA website.
This project used previously collected ShoreZone imagery to map nearly 1,600 km of coastline between Wales and Kotzebue. With additional mapping supported by the Arctic LCC and National Park Service, this effort completed the Kotzebue Sound shoreline, which now has been included in the state-wide ShoreZone dataset. The complete ShoreZone dataset for the region was used to conduct a coastal hazards analysis and create maps that identify areas undergoing rapid coastal erosion and areas that are sensitive to inundation by storm surge and sea level rise.​
Categories: Data; Tags: BEACHES, BEACHES, COASTAL AREAS, COASTAL AREAS, COASTAL LANDFORMS, All tags...
This project uses previously collected ShoreZone imagery to map nearly 1,600 km of coastline between Wales and Kotzebue. With additional mapping supported by the Arctic LCC and National Park Service, this effort will complete the Kotzebue Sound shoreline, which will be included in the state-wide ShoreZone dataset. The complete ShoreZone dataset will be used to conduct a coastal hazards analysis and create maps that identify areas undergoing rapid coastal erosion and areas that are sensitive to inundation by storm surge and sea level rise.​
The goal of this project is to provide a broader ecological understanding of the ways in which the breaches and U.S. Army Corps of Engineers (USACE) breach-fill projects affect piping plover populations, their red fox predators and their invertebrate prey communities. Virginia Tech (VT) compared the dynamics of bird use and invertebrate densities in an open breach area, two filled breach areas, two restoration areas, overwash areas, and other areas. Ultimately VT results will help refine their understanding of the time frame and manner in which piping plover habitat develops and persists.The work described in this report was funded under the Breach Contingency Plan (BCP; USACE 1996), the Fire Island Inlet to Moriches...
The purpose of this project was to provide biologists and managers along the Atlantic coast with tools to predict the effects of accelerating sealevel rise on the distribution of piping plover breeding habitat, to test those predictions, and to feed results back into the modeling framework to improve predictive capabilities. Our goals were to provide short-term (i.e., over project life) results related to the effects of sea level rise on piping plover breeding habitat at Assateague Island and to use these results to ultimately (i.e., longer term, during and beyond project life) inform a coastwide assessment of threats from sea-level rise and related habitat conservation recommendations that can be implemented by...
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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 conditions and future SLR scenarios, and in many locations, there are additional products for long-term shoreline change, cliff retreat, and groundwater hazards.  Resulting projections for future climate scenarios (sea-level rise and storms) provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety and mitigate physical damages to reduce risk, and more effectively manage and allocate resources to increase resilience in response to a changing climate...
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Suggested citation: Schrass, K. and A.V. Mehta. 2017. Improved Use and Understanding of NNBF in the Mid-Atlantic. Annapolis, MD: National Wildlife Federation.Executive SummaryThe impacts of climate change are already being felt in the Mid-Atlantic region. Coastal communities and habitats are threatened by sea level rise and an increasing frequency and severity of strong storms. Traditionally, gray infrastructure like seawalls and bulkheads have been used to protect coasts; however, these approaches disrupt intact ecological systems and exacerbate damage along adjacent shorelines. As a result, Natural and Nature-Based Features (NNBF) are increasingly being explored as a means of adapting to climate change while also...
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This dataset contains projections of shoreline change and uncertainty bands across California for future scenarios of sea-level rise (SLR). Projections were made using the Coastal Storm Modeling System - Coastal One-line Assimilated Simulation Tool (CoSMoS-COAST), a numerical model run in an ensemble forced with global-to-local nested wave models and assimilated with satellite-derived shoreline (SDS) observations across the state. Scenarios include 25, 50, 75, 100, 125, 150, 175, 200, 250, 300 and 500 centimeters (cm) of SLR by the year 2100. Output for SLR of 0 cm is also included, reflective of conditions in 2000.
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The Arctic LCC and National Park Service has partnered together to complete a ShoreZone imagining and mapping project for the entire coastline, lagoons inclusive, from Point Hope to Wales in Northwestern Alaska. The ShoreZone Mapping System uses oblique aerial imagery and field data from ShoreStations to classify coastline habitats based on geological and biological attributes. ShoreZone products are made available to the public through the National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Website.
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This data set consists of physics-based Delft3D-FLOW and WAVE hydrodynamic models input files used for Coastal Storm Modeling System (CoSMoS) Tier 1 simulations. Tier 1 simulations cover the Northern California open-coast region, from the Golden Gate Bridge to the California/Oregon state border, and they provide boundary conditions to higher-resolution simulations. Simulations are run for several storm events (covering a range of no storm, 1-year, 20-year, and 100-year coastal storm conditions) and sea-level rise (SLR) scenarios.
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Remote-sensing technologies—such as video imagery, aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)— can be used to measure change along U.S. coastlines. Quantifying coastal change is essential for calculating trends in erosion and accretion, evaluating processes that shape coastal landscapes, and predicting how the coast will respond to future natural disasters (e.g. hurricanes, landslides, wildfires) and longer term climate trends such (e.g. sea-level rise, ecosystem change, coral bleaching), all critical for U.S. coastal communities. Rapid developments have occurred in remote-sensing technologies during the 21st century. With collaborators...
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Seabeach amaranth (Amaranthus pumilus) is a plant species that was once prevalent on beaches of the U.S. mid-Atlantic coast but is now listed as threatened by the U.S. Fish and Wildlife Service. For much of the 20th century, seabeach amaranth was absent from the mid-Atlantic coast and thought to be extinct, presumably as a result of increased development and recreational pressure. One region where there has been an effort to restore the seabeach amaranth population is Assateague Island National Seashore (ASIS), a National Park Service land holding located along the coasts of Maryland and Virginia. Here, the Natural Resources staff at ASIS planted seabeach amaranth cultivars for three growing seasons from 1999...
Designed by scientists to simplify consistent data collection and management, the iPlover smartphone application gives trained resource managers an easy-to-use platform where they can collect and share data about coastal habitat utilization across a diverse community of field technicians, scientists, and managers. With the click of a button, users can contribute biological and geomorphological data to regional models designed to forecast the habitat outlook for piping plover, and other species that depend upon sandy beach habitat.iPlover app is available for iPhones and Androids on the USGS Mobile Application Directory. The app is free, but users must ask for and receive an approved login to use it. Training is...


map background search result map search result map Coastal Storm Modeling System (CoSMoS) OUTDATED Indicator V 2.0: Beach and Dune: Unaltered Beach Beach Nourishment in the Gulf of Mexico ShoreZone Program on the North Slope of Alaska WEAR ShoreZone and ShoreStation Surveys NPS Improved Use of Natural and Nature-Based Features in the Mid-Atlantic Coastal Storm Modeling System (CoSMoS) for Central California, v3.1 Assateague Island Seabeach Amaranth Survey Data — 2001 to 2018 Coastal Storm Modeling System (CoSMoS) for Northern California 3.2 CoSMoS 3.2 Northern California Tier 1 FLOW-WAVE model input files Projections of shoreline change for California due to 21st century sea-level rise Assateague Island Seabeach Amaranth Survey Data — 2001 to 2018 Coastal Storm Modeling System (CoSMoS) for Northern California 3.2 Coastal Storm Modeling System (CoSMoS) for Central California, v3.1 ShoreZone Program on the North Slope of Alaska WEAR ShoreZone and ShoreStation Surveys NPS Improved Use of Natural and Nature-Based Features in the Mid-Atlantic CoSMoS 3.2 Northern California Tier 1 FLOW-WAVE model input files Beach Nourishment in the Gulf of Mexico Projections of shoreline change for California due to 21st century sea-level rise OUTDATED Indicator V 2.0: Beach and Dune: Unaltered Beach Coastal Storm Modeling System (CoSMoS)