Description: The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
Description: The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all FIRM Databases and corresponding LOMRs available on the publication date of the data set. The specification for the horizontal control of FIRM Databases is consistent with those required for mapping at a scale of 1:12,000. This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983.
Description: These data are polygons approximating the tidal water surface for a 50% annual chance coastal flood event in 2050 given a 19 inch sea level rise projection for 21 estuaries in Oregon. The water surface models are based on the combined flood height and sea level rise estimate. The flood event level was determined from water level exceedance analysis at NOAA tide gauges (the Crescent City, Charleston, South Beach, and Astoria tide stations). The sea level rise projections are from the National Research Council of the National Academies “Sea-Level Rise for the Coasts of California, Oregon, and Washington: Past, Present, and Future” (2012, pg 96). The water surface model was created using the National Oceanic and Atmospheric Administration (NOAA) VDatum tool. The land surface model is based on Lidar elevation measurements supplied by the Oregon Lidar Consortium (OLC) from 2008 and 2009. The polygon edges are the intersection of the modeled water surface and the Lidar Digital Elevation Model.
Definition Expression: N/A
Copyright Text: Sea level rise projections came from the National Research Council (2012). Digital Elevation model based on 2008 lidar from Oregon Lidar Consortium. Water exceedance values are from NOAA CO-OPS. Randy Dana (DLCD/OCMP) processed the data to create the modeled flooding area. Work was funded through the NOAA Coastal Management Fellowship program.
Description: These data are polygons approximating the tidal water surface for a 1% annual chance coastal flood event in 2050 given a 19 inch sea level rise projection for 21 estuaries in Oregon. The water surface models are based on the combined flood height and sea level rise estimate. The flood event level was determined from water level exceedance analysis at NOAA tide gauges (the Crescent City, Charleston, South Beach, and Astoria tide stations). The sea level rise projections are from the National Research Council of the National Academies “Sea-Level Rise for the Coasts of California, Oregon, and Washington: Past, Present, and Future” (2012, pg 96). The water surface model was created using the National Oceanic and Atmospheric Administration (NOAA) VDatum tool. The land surface model is based on Lidar elevation measurements supplied by the Oregon Lidar Consortium (OLC) from 2008 and 2009. The polygon edges are the intersection of the modeled water surface and the Lidar Digital Elevation Model.
Definition Expression: N/A
Copyright Text: Sea level rise projections came from the National Research Council (2012). Digital Elevation model based on 2008 lidar from Oregon Lidar Consortium. Water exceedance values are from NOAA CO-OPS. Randy Dana (DLCD/OCMP) processed the data to create the modeled flooding area. Work was funded through the NOAA Coastal Management Fellowship program.
Description: These data are polygons approximating the tidal water surface for a 50% annual chance coastal flood event in 2100 given a 56 inch sea level rise projection for 21 estuaries in Oregon. The water surface models are based on the combined flood height and sea level rise estimate. The flood event level was determined from water level exceedance analysis at NOAA tide gauges (the Crescent City, Charleston, South Beach, and Astoria tide stations). The sea level rise projections are from the National Research Council of the National Academies “Sea-Level Rise for the Coasts of California, Oregon, and Washington: Past, Present, and Future” (2012, pg 96). The water surface model was created using the National Oceanic and Atmospheric Administration (NOAA) VDatum tool. The land surface model is based on Lidar elevation measurements supplied by the Oregon Lidar Consortium (OLC) from 2008 and 2009. The polygon edges are the intersection of the modeled water surface and the Lidar Digital Elevation Model.
Definition Expression: N/A
Copyright Text: Sea level rise projections came from the National Research Council (2012). Digital Elevation model based on 2008 lidar from Oregon Lidar Consortium. Water exceedance values are from NOAA CO-OPS. Randy Dana (DLCD/OCMP) processed the data to create the modeled flooding area. Work was funded through the NOAA Coastal Management Fellowship program.
Description: These data are polygons approximating the tidal water surface for a 1% annual chance coastal flood event in 2100 given a 58 inch sea level rise projection for 21 estuaries in Oregon. The water surface models are based on the combined flood height and sea level rise estimate. The flood event level was determined from water level exceedance analysis at NOAA tide gauges (the Crescent City, Charleston, South Beach, and Astoria tide stations). The sea level rise projections are from the National Research Council of the National Academies “Sea-Level Rise for the Coasts of California, Oregon, and Washington: Past, Present, and Future” (2012, pg 96). The water surface model was created using the National Oceanic and Atmospheric Administration (NOAA) VDatum tool. The land surface model is based on Lidar elevation measurements supplied by the Oregon Lidar Consortium (OLC) from 2008 and 2009. The polygon edges are the intersection of the modeled water surface and the Lidar Digital Elevation Model.
Definition Expression: N/A
Copyright Text: Sea level rise projections came from the National Research Council (2012). Digital Elevation model based on 2008 lidar from Oregon Lidar Consortium. Water exceedance values are from NOAA CO-OPS. Randy Dana (DLCD/OCMP) processed the data to create the modeled flooding area. Work was funded through the NOAA Coastal Management Fellowship program.