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Federal
GL_LAKE_ERIE_2022 ESI INVERT Polygons
National Oceanic and Atmospheric Administration, Department of Commerce —
These feature classes reside within the BIOLOGY Feature Data Set of the Lake Erie - 2022 ESI Geodatabase. It contains vector polygons representing invertebrate data... -
Federal
GL_LAKE_ERIE_2022 ESI HYDRO Polygons, Lines
National Oceanic and Atmospheric Administration, Department of Commerce —
The feature classes HYDROL and HYDROP contain vector lines and polygons representing the coastal shoreline and hydrography used in the creation of the Environmental... -
Federal
GL_LAKE_ERIE_2022 ESI BENTHIC Polygons
National Oceanic and Atmospheric Administration, Department of Commerce —
This feature class resides within the BIOLOGY Feature Data Set of the Lake Erie - 2022 ESI Geodatabase. It contains vector polygons representing BENTHIC data for Lake... -
Federal
Coastal Change Analysis Program (C-CAP) Regional Land Cover Data and Change Data NGDA
National Oceanic and Atmospheric Administration, Department of Commerce —
The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products... -
Federal
GL_LAKE_ERIE_2022 ESI SOCECON Polygons, Points
National Oceanic and Atmospheric Administration, Department of Commerce —
These feature classes reside within the SOCECON Feature Data Set of the Lake Erie - 2022 ESI Geodatabase. They contain vector polygons and points representing... -
Federal
GL_LAKE_ERIE_2022 ESI BIRDS Polygons, Points
National Oceanic and Atmospheric Administration, Department of Commerce —
These feature classes reside within the BIOLOGY Feature Data Set of the Lake Erie - 2022 ESI Geodatabase. It contains vector polygons and points representing BIRDS... -
Federal
GL_LAKE_ERIE_2022 GLRI_UNIQUE_SITES Points
National Oceanic and Atmospheric Administration, Department of Commerce —
This feature class is housed within the Lake Erie - 2022 ESI Geodatabase but is maintained outside of the traditional NOAA ESI Structure. Vector points in this data... -
Federal
GL_LAKE_ERIE_2022 ESI Polygons, Lines
National Oceanic and Atmospheric Administration, Department of Commerce —
The feature classes ESIL and ESIP contain vector lines and polygons representing shorelines and intertidal habitats of Lake Erie - 2022 ESI Geodatabase, classified by... -
Federal
GL_LAKE_ERIE_2022 ESI FISH Polygons, Points
National Oceanic and Atmospheric Administration, Department of Commerce —
These feature classes reside within the BIOLOGY Feature Data Set of the Lake Erie - 2022 ESI Geodatabase. It contains vector polygons and points representing FISH... -
Federal
GL_LAKE_ERIE_2022 ESI RESOURCE Polygons, Points
National Oceanic and Atmospheric Administration, Department of Commerce —
These feature classes reside within the SOCECON Feature Data Set of the Lake Erie 2022 ESI Geodatabase. They contain vector polygons and points representing Resource... -
Federal
GL_LAKE_ERIE_2022 ESI HABITATS Polygons
National Oceanic and Atmospheric Administration, Department of Commerce —
This feature class resides within the BIOLOGY Feature Data Set of the Lake Erie - 2022 ESI Geodatabase. It contains vector polygons representing HABITAT data for Lake... -
Federal
GL_LAKE_ERIE_2022 ESI NAVIGATIONAL/MARINE Points
National Oceanic and Atmospheric Administration, Department of Commerce —
This feature class resides within the SOCECON Feature Data Set of the Lake Erie 2022 ESI Geodatabase. It contains vector points representing Navigational/marine... -
Federal
NOAA Office for Coastal Management (OCM) Lake Level Data: -6 Feet to +6 Feet Water Level Change
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer... -
Federal
NOAA Office for Coastal Management (OCM) Lake Level Data: Mapping Confidence
National Oceanic and Atmospheric Administration, Department of Commerce —
These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer... -
Federal
NOAA C-CAP National Wetland Potential
National Oceanic and Atmospheric Administration, Department of Commerce —
The probability rating which covers landcover mapping provides a continuum of wetness from dry to water. The layer is not a wetland classification but provides the... -
Federal
1999 Fall Gulf Coast NOAA/USGS/NASA Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline
National Oceanic and Atmospheric Administration, Department of Commerce —
This data set includes data collected on October 16, 1999 and coastline in the State of Texas from Galveston to the Louisiana border. Laser beach mapping uses a... -
Federal
1998 Northeast NOAA/USGS/NASA Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline
National Oceanic and Atmospheric Administration, Department of Commerce —
This data set includes data collected during December 1998 and covers coastline in the states of Maryland, New York, Pennsylvania, Ohio, and Massachusetts. Maryland... -
Federal
NOAA's Coastal Change Analysis Program (C-CAP) 1985 Regional Land Cover Data - Coastal United States
National Oceanic and Atmospheric Administration, Department of Commerce —
The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products... -
Federal
NOAA's Coastal Change Analysis Program (C-CAP) 2001 Regional Land Cover Data - Coastal United States
National Oceanic and Atmospheric Administration, Department of Commerce —
The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products... -
Federal
2006 C-CAP Land Cover of Old Woman Creek, Ohio, National Estuarine Research Reserve
National Oceanic and Atmospheric Administration, Department of Commerce —
This data set consists of land cover derived from high resolution orthoimagery, LiDAR data and ancillary data sources such as SSURGO and National Wetlands Inventory,...