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Rate of shoreline change statistics for New York State coastal wetlands This data set contains shoreline rate of change statistics for New York State coastal wetlands. Analysis was performed using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0, an extension for ArcMap. A reference baseline was used as the originating point for orthogonal transects cast by the DSAS software. The transects intersect each polyline vector shoreline establishing intersection measurement points, which were then used to calculate the rates of change. End-point rates, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Digital Shoreline Analysis System, End-Point Rate, Geography, Geomorphology, Great South Bay, All tags... Hudson River, Jamaica Bay, Linear Regression Rate, New York, New York Bay, New York State, Peconic Bay, Shoreline Change Rate, U.S. Geological Survey, USGS Science Data Catalog (SDC), United States, Water Resources, Woods Hole Coastal and Marine Science Center, coastal processes, erosion, estuary, shoreline accretion, wetland, wetland ecosystems, Fewer tags LEAN-Corrected DEM for Suisun Marsh Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the... Categories: Data, Data Release - Revised; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Remote Sensing, San Francisco Bay Estuary, Suisun marsh, USGS Science Data Catalog (SDC), digital elevation models, All tags... elevation, estuary, lidar, wetlands, Fewer tags LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for tidal marsh areas around San Francisco Bay using the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). Survey-grade GPS survey data (6614 points), NAIP-derived Normalized Difference Vegetation Index, and original 1 m lidar DEM from 2010 were used to generate a model of predicted bias across tidal marsh areas. The predicted bias was then subtracted from the original lidar DEM and merged with the NOAA... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, GeoTIFF, Map Service, Raster; Tags: Remote Sensing, San Francisco Bay, USGS Science Data Catalog (SDC), biota, digital elevation models, All tags... estuary, lidar, wetlands, Fewer tags LEAN-Corrected Collier County DEM for wetlands Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for wetlands throughout Collier county using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (15,223 points), NAIP-derived Normalized Difference Vegetation Index (2010), a 10 m lidar DEM from 2007, and a 10 m canopy surface model were used to generate a model of predicted bias across marsh, mangrove, and cypress habitats. The predicted bias was then subtracted from... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, GeoTIFF, Map Service, Raster; Tags: Collier county, Remote Sensing, USGS Science Data Catalog (SDC), biota, cypress, All tags... digital elevation models, estuary, lidar, mangroves, marsh, wetlands, Fewer tags Conceptual marsh units of Chesapeake Bay salt marshes This data release contains coastal wetland synthesis products for Chesapeake Bay. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and tidal range are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing federal, state, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Chesapeake Bay, Maryland, North Carolina, United States, Virginia, All tags... coastal ecosystems, coastal processes, environment, estuary, geospatial datasets, inlandWaters, marsh health, oceans, salt marsh, vegetation, wetland ecosystems, wetland functions, Fewer tags Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding Blackwater National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Chesapeake Bay, biota, digital elevation models, estuary, lidar, All tags... wetlands, Fewer tags Elevation of salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey Elevation distribution in the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA is given in terms of mean elevation of conceptual marsh units defined by Defne and Ganju (2016). The elevation data is based on the 1-meter resampled 1/9 arc-second resolution USGS National Elevation Data. As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate their vulnerability and ecosystem service potential. For this purpose, the response and resilience... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Atlantic Ocean, Barnegat Bay, Barnegat bay, Edwin B. Forsythe National Wildlife Refuge, Environmental Health, All tags... Great Bay, Hydrogeology, Little Egg Island, Marine Geology, New Jersey, New Jersey, United States, Water Quality, Water Resources, coastal ecosystems, coastal processes, elevation, environment, estuary, inlandWaters, marsh health, oceans, salt marsh, shoreline change, vegetation, wetland ecosystems, wetland functions, Fewer tags Inferred hydrodynamic residence time in salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate the vulnerability of coastal wetlands to various factors and to evaluate their ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey, was selected as a pilot study area. As part of this data synthesis effort, hydrodynamic and sediment transport... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service; Tags: Atlantic Ocean, Barnegat Bay, Edwin B. Forsythe National Wildlife Refuge, Great Bay, Little Egg Island, All tags... New Jersey, United States, coastal ecosystems, coastal processes, contaminant transport, contamination, ecological processes, environment, environmental assessment, estuary, flushing, inlandWaters, marsh health, oceans, polygon shapefile, residence time, resilience, salt marsh, vegetation, vulnerability, wetland ecosystems, wetland functions, Fewer tags Eastern Neck LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding the Eastern Neck National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Chesapeake Bay, biota, digital elevation models, estuary, lidar, All tags... wetlands, Fewer tags Martin LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for area surrounding the Martin National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (2013)... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Chesapeake Bay, biota, digital elevation models, estuary, lidar, All tags... wetlands, Fewer tags