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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 Fluvial Erosion Hazard Geospatial Network from the Marengo River Watershed, Ashland County, Wisconsin An extreme flood in 2016 caused widespread culvert blockages and road failures across northern Wisconsin, including extensive damage along steep tributaries and ravines in the Marengo River watershed. Along with the flooding, there were fluvial erosion hazards (FEH) associated with a large amount of erosion in headwater areas. Of special concern were FEHs associated with gullying, loss of wetland storage, and valley-side mass wasting. In 2020, a pilot study was begun to map and classify ephemeral and perennial streams and wetlands in terms of their susceptibility to fluvial erosion hazards. This study combines rapid geomorphic field assessments of river corridor erosion and coupled sediment and debris delivery with... Categories: Data, Map; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Ashland, Bad-Montreal, Geomorphology, Great Lakes, North America, All tags... Sedimentology, Southwestern Lake Superior, USGS Science Data Catalog (SDC), United States, Wisconsin, erosion, geomorphology, geoscientificInformation, sediment transport, sedimentation, slope processes, Fewer tags Enhanced Terrain Imagery of the Lewisburg 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Lewisburg 30 x 60 minute quadrangle in Virginia and West Virginia. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2020 and 2021. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: Geography, Geomorphology, Land Use Change, Lidar, Mineral Resources, All tags... USGS Science Data Catalog (SDC), Virginia, West Virginia, elevation, imageryBaseMapsEarthCover, lidar, topography, Fewer tags Enhanced Terrain Imagery of the Cumberland 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Cumberland 30 x 60 minute quadrangle in Pennsylvania, West Virginia and Maryland. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2019 and 2023. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: Economic Geology, Geography, Geomorphology, Land Use Change, Lidar, All tags... Maryland, Mineral Resources, Pennsylvania, USGS Science Data Catalog (SDC), Water Resources, West Virginia, elevation, imageryBaseMapsEarthCover, lidar, topography, Fewer tags