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In the face of sea level rise and as climate change conditions increase the frequency and intensity of tropical storms along the north-Atlantic Coast, coastal areas will become increasingly vulnerable to storm damage, and the decline of already-threatened species could be exacerbated. Predictions about response of coastal birds to effects of hurricanes will be essential for anticipating and countering environmental impacts. This project will assess coastal bird populations, behavior, and nesting in Hurricane Sandy-impacted North Carolina barrier islands. The project comprises three components: 1) ground-based and airborne lidar analyses to examine site specific selection criteria of coastal birds; 2) NWI classification...
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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U.S. Geological Survey, Department of the Interior - The Hurricane Sandy Supplemental Funding lidar and DEM acquisition plan is part of the 3DEP initiative to systematically collect enhanced elevation data (Quality Level 2) in the form of high-quality light detection and ranging (lidar) data over the conterminous United States, Hawaii, and the territories on an 8-year schedule. The FY14 Hurricane Sandy acquisition plan currently anticipates collecting 20,000 - 30,000 sq. mi. within the impacted area. Exact area collected will depend on partnerships and other contributions to the plan. Interested parties who wish to become a funding partner with the USGS FY14 or in future years should contact a USGS Geospatial Liaison...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. This dataset combined with "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The eight distinct cover/community types identified are: High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus, Scirpus pungens,...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using National Agriculture Imagery Program (NAIP) multispectral imagery for areas where no DEM was available to complete the full classification. This dataset combined with "Tidal Marsh Vegetation Classification, DEM, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The six distinct cover/community types identified are: 1. High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus,...
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Coastal Hydrology and Storm Surge Storm-surge is one of the most powerful and destructive elements of major storm events. Excessively high tides associated with storms can flood and inundate coastal areas, often moving sediment and altering coastal landscapes and drainages. USGS provides critical expertise in measuring storm surge and assessing conditions both before and after the storm. Through development of storm tide monitoring networks, data analysis, and data delivery, USGS provides vital information to help coastal communities prepare for and recover from storm surge events. View Fact Sheet Science Science Support for Tribes Tide gage/weather station installed in collaboration with Mashpee-Wampanoag...
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This community is established for communities that wish to use Data Entry for Project Tracking and Highlighting (DEPTH) web application. Communities must be added as a shortcut to the DEPTH Community in order to use the DEPTH interface.
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This study combined a radar-based time series of Hurricane Sandy surge and estimated persistence with optical sensor-based marsh condition change to assess potential causal linkages of surge persistence and marsh condition change along the New Jersey Atlantic Ocean coast. Results based on processed TerraSAR-X and COSMO-SkyMed synthetic aperture radar (SAR) images indicated that surge flooding persisted for 12 h past landfall in marshes from Great Bay to Great Egg Harbor Bay and up to 59 h after landfall in many back-barrier lagoon marshes. Marsh condition change (i.e. loss of green marsh vegetation) was assessed from optical satellite images (Satellite Pour l’Observation de la Terre and Moderate Resolution Imaging...
Three types of data (one with an elevation model (DEM), one without a DEM, and one indicating the difference) are provided for the entire Northeast region and by analysis zone (n=8). Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. – contains a regional classification produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. All eight cover types are included in this classification. This dataset combined with “Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S” provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The eight cover types include: High marsh: Area flooded during...
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This study combined a radar-based time series of Hurricane Sandy surge and estimated persistence with optical sensor-based marsh condition change to assess potential causal linkages of surge persistence and marsh condition change along the New Jersey Atlantic Ocean coast. Results based on processed TerraSAR-X and COSMO-SkyMed synthetic aperture radar (SAR) images indicated that surge flooding persisted for 12 h past landfall in marshes from Great Bay to Great Egg Harbor Bay and up to 59 h after landfall in many back-barrier lagoon marshes. Marsh condition change (i.e. loss of green marsh vegetation) was assessed from optical satellite images (Satellite Pour l’Observation de la Terre and Moderate Resolution Imaging...
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In the face of sea level rise and as climate change conditions increase the frequency and intensity of tropical storms along the north-Atlantic Coast, coastal areas will become increasingly vulnerable to storm damage, and the decline of already-threatened species could be exacerbated. Predictions about response of coastal birds to effects of hurricanes will be essential for anticipating and countering environmental impacts. This project will assess coastal bird populations, behavior, and nesting in Hurricane Sandy-impacted North Carolina barrier islands. The project comprises three components: 1) ground-based and airborne lidar analyses to examine site specific selection criteria of coastal birds; 2) NWI classification...
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The USGS Hurricane Sandy Science Plan, completed in December 2012, describes continuing USGS activities with other agencies and guides continued data collection and analysis to ensure support for recovery and restoration efforts. The activities outlined in the plan are organized in five themes based on impact types and information needs. The data, information, and tools that are produced will further characterize impacts and changes, guide mitigation and restoration of impacted communities and ecosystems, inform a redevelopment strategy aimed at developing resilient coastal communities and ecosystems, improve preparedness and responsiveness to the next hurricane or similar coastal disaster, and enable improved hazard...
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This study combined a radar-based time series of Hurricane Sandy surge and estimated persistence with optical sensor-based marsh condition change to assess potential causal linkages of surge persistence and marsh condition change along the New Jersey Atlantic Ocean coast. Results based on processed TerraSAR-X and COSMO-SkyMed synthetic aperture radar (SAR) images indicated that surge flooding persisted for 12 h past landfall in marshes from Great Bay to Great Egg Harbor Bay and up to 59 h after landfall in many back-barrier lagoon marshes. Marsh condition change (i.e. loss of green marsh vegetation) was assessed from optical satellite images (Satellite Pour l’Observation de la Terre and Moderate Resolution Imaging...
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This study combined a radar-based time series of Hurricane Sandy surge and estimated persistence with optical sensor-based marsh condition change to assess potential causal linkages of surge persistence and marsh condition change along the New Jersey Atlantic Ocean coast. Results based on processed TerraSAR-X and COSMO-SkyMed synthetic aperture radar (SAR) images indicated that surge flooding persisted for 12 h past landfall in marshes from Great Bay to Great Egg Harbor Bay and up to 59 h after landfall in many back-barrier lagoon marshes. Marsh condition change (i.e. loss of green marsh vegetation) was assessed from optical satellite images (Satellite Pour l’Observation de la Terre and Moderate Resolution Imaging...
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This dataset represents a combined file indicating where a Digital Elevation Model (DEM) was and was not used in the tidal marsh classifications "Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S." and "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S.". For more information about the development of the data please contact Mo Correll at Maureen.correll@maine.edu. "Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S.", "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S.", and "DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S." are products of the Saltmarsh Habitat and Avian Research Program (www.tidalmarshbirds.org).


    map background search result map search result map USGS Hurricane Sandy Science Team USGS Hurricane Sandy Lidar and DEM Acquisition Plan Objectives for FY14 from 3D Elevation Program (3DEP) - The National Map DEPTH Community Hurricane Sandy -- Science to support coastal resilience Radar and optical mapping of surge persistence and marsh dieback along the New Jersey Mid-Atlantic coast after Hurricane Sandy Surge persistence Marsh condition change map Coincidence of surge persistence and marsh condition Cape Lookout, North Carolina 2012 National Wetlands Inventory Habitat Classification Hurricane Sandy impacts on Cape Hatteras (North Carolina), 2012 National Wetlands Inventory Classification Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Cape Lookout, North Carolina 2012 National Wetlands Inventory Habitat Classification Hurricane Sandy impacts on Cape Hatteras (North Carolina), 2012 National Wetlands Inventory Classification Radar and optical mapping of surge persistence and marsh dieback along the New Jersey Mid-Atlantic coast after Hurricane Sandy Marsh condition change map Coincidence of surge persistence and marsh condition Surge persistence DEPTH Community Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S. USGS Hurricane Sandy Lidar and DEM Acquisition Plan Objectives for FY14 from 3D Elevation Program (3DEP) - The National Map Hurricane Sandy -- Science to support coastal resilience USGS Hurricane Sandy Science Team