Key facts
Contents & fields
The dataset contains geospatial data layers behind NOAA's Sea Level Rise Viewer, modeling sea level rise and coastal flooding impacts. Data are organized into folders: Ancillary (supporting data files, e.g., merged inundation polygons as geodatabases and shapefiles), NOAA OCM SLR MergedPolys Shapefiles 0225 (inundation polygons merged by region as shapefiles), DEMs (lidar-based high resolution digital elevation models as geotiffs), Depth Rasters (ocean-connected sea level rise inundation for 0-10ft above MHHW as geotiffs), Extent Rasters (single value rasters as geotiffs), High Tide Flooding (potential inundation extent from high tide flooding as geotiffs), Marsh Migration (wetland impact and migration products as geotiffs), Mapping Confidence (confidence in mapped inundation extent as geotiffs), Sea Level Rise Vectors (polygon data of inundation extent as geopackages), Tidal Surfaces (MHHW tidal surfaces as geotiffs). Documentation, methodology, and reports are included.
- Ancillary——Supporting data files, including merged inundation polygons by region
- DEMs——Lidar-based high resolution digital elevation models
- Depth Rasters——Ocean-connected sea level rise inundation for 0-10ft above MHHW
- Extent Rasters——Single value rasters of inundation extent
- High Tide Flooding——Potential inundation extent from high tide flooding
- Marsh Migration——Wetland impact and migration products
- Mapping Confidence——Confidence in mapped inundation extent
- Sea Level Rise Vectors——Polygon data of inundation extent (geopackages)
- Tidal Surfaces——MHHW tidal surfaces
Research uses
Suitable for sea level rise impact assessment, coastal flood risk analysis, wetland change studies, and coastal planning and management decision support.
This card was drafted from the source page; institution, coverage, time span, scale, fields and license are subject to the official page (pending human review).
Keywords
Why this is hard to get on your own
Access raw geospatial data layers from NOAA's Sea Level Rise Viewer for local analysis and modeling.
