Metadata: Identification_Information: Citation: Citation_Information: Originator: Travis K. Sterne Originator: Elizabeth A. Pendleton Originator: Erika E. Lentz Originator: Rachel E. Henderson Publication_Date: 20230228 Title: Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Perpetual Hazards Edition: 1.0 Geospatial_Data_Presentation_Form: raster digital data Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P96A2Q5X Publication_Information: Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA Publisher: U.S. Geological Survey, Coastal and Marine Hazards and Resources Program Online_Linkage: https://doi.org/10.5066/P96A2Q5X Online_Linkage: https://www.sciencebase.gov/catalog/item/6178323ad34e4c6b7fe2a4a0 Larger_Work_Citation: Citation_Information: Originator: Travis K. Sterne Originator: Elizabeth A. Pendleton Originator: Erika E. Lentz Originator: Rachel E. Henderson Publication_Date: 2023 Title: Coastal Change Likelihood in the U.S. Northeast Region — Maine to Virginia Edition: 1 Geospatial_Data_Presentation_Form: raster digital data Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P96A2Q5X Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Suggested citation: Sterne, T.K., Pendleton, E.A., Lentz, E.E., and Henderson, R.E., 2023, Coastal Change Likelihood in the U.S. Northeast Region — Maine to Virginia: U.S. Geological Survey data release, https://doi.org/10.5066/P96A2Q5X. Online_Linkage: https://doi.org/10.5066/P96A2Q5X Online_Linkage: https://www.sciencebase.gov/catalog/item/61781c1bd34e4c6b7fe2a425 Description: Abstract: Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal, state, and local sources. First, a decision tree-based dataset is built that describes the fabric or integrity of the coastal landscape and includes landcover, elevation, slope, long-term (>150 years) shoreline change trends, dune height, and marsh stability data. A second database was generated from coastal hazards, which are divided into event hazards (e.g., flooding, wave power, and probability of storm overwash) and persistent hazards (e.g., relative sea-level rise rate, short-term (about 30 years) shoreline erosion rate, and storm recurrence interval). The fabric dataset is then merged with the coastal hazards databases and a training dataset made up of hundreds of polygons is generated from the merged dataset to support a supervised learning classification. Results from this pilot study are location-specific at 10-meter resolution and are made up of four raster datasets that include (1) quantitative and qualitative information used to determine the resistance of the landscape to change, (2 & 3) the potential coastal hazards that act on it, (4) the machine learning output, or Coastal Change Likelihood (CCL), based on the cumulative effects of both fabric and hazards, and (5) an estimate of the hazard type (event or persistent) that is the likely to influence coastal change. Final outcomes are intended to be used as a first order planning tool to determine which areas of the coast may be more likely to change in response to future potential coastal hazards, and to examine elements and drivers that make change in a location more likely. Purpose: CCL is a first order planning tool that estimates the likelihood that an area of coast will experience change based on its inherit resistance to change, metrics associated with specific land cover types, and the hazards that impact a coast. The CCL Perpetual Hazards dataset is a 10 mpp compilation of three perpetual coastal hazards (relative sea-level rise, storm recurrence interval, and short-term shoreline erosion rate) used in building the final CCL product in geotiff format. Each raster cell is assigned a unique value based on the potential hazard scenario expected to occur in a given location. All relevant information pertaining to each grid cell is stored in the associated attribute table. This dataset covers the Northeast US coastline between +/- 10 meters elevation relative to mean high water (MHW) from Maine to Virginia. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 2010 Ending_Date: 2021 Currentness_Reference: ground condition of source data Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -77.4828 East_Bounding_Coordinate: -66.5998 North_Bounding_Coordinate: 45.3000 South_Bounding_Coordinate: 36.5148 Keywords: Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: geoscientificInformation Theme_Keyword: oceans Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: U.S. Geological Survey Theme_Keyword: USGS Theme_Keyword: Coastal and Marine Hazards Mission Area Theme_Keyword: Woods Hole Coastal and Marine Science Center Theme_Keyword: Coastal Fabric Theme_Keyword: Elevation Theme_Keyword: Interpretation Theme_Keyword: Bathymetry Theme_Keyword: Landcover Theme_Keyword: Land Cover Theme_Keyword: Topography Theme_Keyword: UVVR Theme_Keyword: Unvegetated-Vegetated Ratio Theme_Keyword: Shoreline Change Theme_Keyword: Coastal Hazards Theme_Keyword: High Tide Flooding Theme_Keyword: Storm Recurrence Theme_Keyword: Wave Power Theme_Keyword: Storm Overwash Theme_Keyword: Sea Level Rise Theme_Keyword: Coastal Change Hazard Assessment Theme_Keyword: Coastal Vulnerability Index Theme_Keyword: Machine Learning Theme_Keyword: Autoclassification Theme_Keyword: Automation Theme_Keyword: Arcpy Theme_Keyword: ArcGIS Pro Theme_Keyword: Support Vector Machine Theme_Keyword: Training Samples Theme_Keyword: Supervised Classification Theme_Keyword: Decision Tree Framework Theme_Keyword: scientific interpretation Theme_Keyword: land use and land cover Theme: Theme_Keyword_Thesaurus: USGS Thesaurus Theme_Keyword: marine geology Theme_Keyword: topography Theme_Keyword: sea-level change Theme_Keyword: hazards Theme_Keyword: coastal processes Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:6178323ad34e4c6b7fe2a4a0 Place: Place_Keyword_Thesaurus: None Place_Keyword: Northeast US Place_Keyword: Maine Place_Keyword: New Hampshire Place_Keyword: Massachusetts Place_Keyword: Rhode Island Place_Keyword: Connecticut Place_Keyword: New York Place_Keyword: New Jersey Place_Keyword: Delaware Place_Keyword: Maryland Place_Keyword: Virginia Place_Keyword: St. Croix Island International Historic Site Place_Keyword: Acadia National Park Place_Keyword: Gateway National Recreation Area Place_Keyword: George Washington Birthplace National Monument Place_Keyword: Cape Cod National Seashore Access_Constraints: None. Please see 'Distribution Info' for details. Use_Constraints: Not to be used for navigation. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information. Additionally, there are limitations associated with coastal change hazard assessments. Although these data are published at a resolution of 10 mpp and are considered high resolution, the intended scale for use is around 1:24,000. Please read the associated data release (https://doi.org/10.3133/dr1169) for a list of caveats, applications, and use recommendations for these data. Point_of_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Travis K Sterne Contact_Address: Address_Type: mailing and physical Address: 384 Woods Hole Rd City: Woods Hole State_or_Province: MA Postal_Code: 02543 Contact_Voice_Telephone: (508) 548 8700 x2219 Contact_Electronic_Mail_Address: tsterne@usgs.gov Browse_Graphic: Browse_Graphic_File_Name: https://www.sciencebase.gov/catalog/file/get/6178323ad34e4c6b7fe2a4a0?name=PerpHaz_Graphic.jpg Browse_Graphic_File_Description: Outer Cape Cod with Perpetual Hazards data layer. Browse_Graphic_File_Type: JPEG Native_Data_Set_Environment: Version 6.2 (Build 9200) ; Esri ArcGIS Pro 2.6.3 Cross_Reference: Citation_Information: Originator: Thieler, E.R. Originator: Hammar-Klose, E.S. Publication_Date: 1999 Title: National assessment of coastal vulnerability to sea-level rise; U.S. Atlantic Coast Geospatial_Data_Presentation_Form: vector digital data Series_Information: Series_Name: Open-File Report Issue_Identification: 1999-593 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Online_Linkage: https://doi.org/10.3133/ofr99593 Online_Linkage: https://pubs.usgs.gov/of/1999/of99-593/ Cross_Reference: Citation_Information: Originator: Elizabeth A. Pendleton Originator: Erika E. Lentz Originator: Travis K. Sterne Originator: Rachel E. Henderson Publication_Date: 2023 Title: Development and application of a coastal change likelihood assessment for the northeast region, Maine to Virginia Series_Information: Series_Name: Data Report Issue_Identification: 1169 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Suggested citation: Pendleton, E.A., Lentz, E.E., Sterne, T.K., and Henderson, R.E., 2023, Development and application of a coastal change likelihood assessment for the northeast region, Maine to Virginia: U.S. Geological Survey Data Report 1169, 56 p., https://doi.org/10.3133/dr1169. The CCL data release (https://doi.org/10.5066/P96A2Q5X) is associated with the CCL Data Report (https://doi.org/10.3133/dr1169) Online_Linkage: https://doi.org/10.3133/dr1169 Online_Linkage: https://pubs.er.usgs.gov/publication/dr1169 Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: All data values represent a compilation of coastal hazards likely to be present in the coming decade based on previous empirical research and expert opinion. The final output generated is the expected outcome based on this information. Logical_Consistency_Report: All data were checked for accuracy during processing. Any inconsistencies in the final data product are artifacts of source data. Completeness_Report: CCL is a model for coastal landscapes in the Northeast United States. All output is "clipped" to an elevation domain; this dataset represents coastal hazards likely to be present in the coming decade from -10 to +10 meters MHW elevation, where data exists. Existing gaps in coverage for this dataset within this domain are a result of data gaps in source information. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: Horizontal coordinate information is referenced to the World Geodetic System of 1984 (WGS 1984) in a Geographic Coordinate System or WGS 1984 Web Mercator (auxiliary sphere) in a Projected Coordinate System. Source data were resampled to 10 mpp for use. There may be resampling errors associated with coarsening (e.g. elevation data were resampled from 1 mpp to 10 mpp) or fining (UVVR were resampled from 30 mpp to 10 mpp) of the data. Likewise some data, like NOAA’s ESI and the shoreline change data were rasterized from a source vector, and there can be spatial inconsistencies associated with the rasterization of vector data. The horizontal accuracy of this dataset is assumed to be better than +/– 30 meters, but dynamic coastal areas may experience much higher rates of change during storms, and horizontal offset at the shoreline maybe much higher (+/– 100 meters) in certain areas. Vertical_Positional_Accuracy: Vertical_Positional_Accuracy_Report: This dataset’s domain is defined by the z-values (elevation) domain of the Fabric dataset (of this publication), and as such has a horizontal positional uncertainty of up to 50 cm along the edge of the domain, which corresponds to +/- 10 meters MHW . However, this dataset has no explicit vertical depth values itself, and therefore there is no vertical position accuracy estimate except along the boundary of this dataset domain. Lineage: Source_Information: Source_Citation: Citation_Information: Originator: E.A. Himmelstoss Originator: A.S. Farris Originator: K.M. Weber Publication_Date: 2019 Title: Massachusetts Shoreline Change Project, 2018 Update: A GIS Compilation of Shoreline Change Rates Calculated Using Digital Shoreline Analysis System Version 5.0, With Supplementary Intersects and Baselines for Massachusetts Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: Suggested citation: Himmelstoss, E.A., Farris, A.S., Weber, K.M., and Henderson, R.E., 2019, Massachusetts shoreline change project, 2018 update–A GIS compilation of shoreline change rates calculated using Digital Shoreline Analysis System version 5.0, with supplementary intersects and baselines for Massachusetts (ver. 2.0, August 2019): U.S. Geological Survey data release, https://doi.org/10.5066/P9RRBEYK. Online_Linkage: https://doi.org/10.5066/P9RRBEYK Online_Linkage: https://www.sciencebase.gov/catalog/item/5be5857ce4b0b3fc5cf8c6ca Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2019 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: Shoreline Change - MA Source_Contribution: Shoreline Change Rates Source_Information: Source_Citation: Citation_Information: Originator: E.A. Himmelstoss Originator: M. Kratzmann Originator: C. Hapke Originator: E.R. Thieler Originator: J. List Publication_Date: 2010 Title: The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts: U.S. Geological Survey Open-File Report 2010–1119 Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: Suggested citation: Himmelstoss, E.A., Kratzmann, M., Hapke, C., Thieler, E.R., and List, J., 2010, The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts: U.S. Geological Survey Open-File Report 2010–1119, available only online at https://doi.org/10.3133/ofr20101119. Online_Linkage: https://doi.org/10.3133/ofr20101119 Online_Linkage: https://pubs.usgs.gov/of/2010/1119 Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2010 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: Shoreline Change - Not MA Source_Contribution: Shoreline Change Rates Source_Information: Source_Citation: Citation_Information: Originator: W.V. Sweet Originator: R.E. Kopp Originator: C.P. Weaver Originator: R.M. Obeysekera Originator: R.M. Horton Originator: E.R. Thieler Originator: C. Zervas Publication_Date: 20170101 Title: Global and Regional Sea Level Rise Scenarios for the United States Geospatial_Data_Presentation_Form: vector digital data Online_Linkage: https://tidesandcurrents.noaa.gov/publications/techrpt083.csv Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 20170101 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: RSLR Source_Contribution: Sea Level Rise Rates Source_Information: Source_Citation: Citation_Information: Originator: K.R. Knapp Originator: H.J. Diamond Originator: J.P. Kossin Originator: M.C. Kruk Originator: C.J. (III) Schreck Publication_Date: 2018 Title: International Best Track Archive for Climate Stewardship (IBTrACS) Project Edition: Version 4 Geospatial_Data_Presentation_Form: vector digital data Online_Linkage: https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r00/access/shapefile/ Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 1842 Ending_Date: 2021 Source_Currentness_Reference: ground condition Source_Citation_Abbreviation: NOAA Storm Counts Source_Contribution: Storm Frequency for the North Atlantic Source_Information: Source_Citation: Citation_Information: Originator: W.V. Sweet Originator: D. Marcy Originator: G. Dusek Originator: J.J. Marra Originator: M. Pendleton Publication_Date: 2017 Title: State of U.S. High Tide Flooding with a 2018 Outlook, National Oceanic and Atmospheric Administration (NOAA) Center for Operational Oceanographic Products and Services Geospatial_Data_Presentation_Form: raster digital data Online_Linkage: https://coast.noaa.gov/slrdata/ Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2016 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: HTF Source_Contribution: High tide flooding potential Source_Information: Source_Citation: Citation_Information: Originator: National Oceanic and Atmospheric Administration Publication_Date: 2021 Title: Definition of the NHC Track Forecast Cone Geospatial_Data_Presentation_Form: publication Online_Linkage: https://www.nhc.noaa.gov/aboutcone.shtml Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2021 Source_Currentness_Reference: ground condition Source_Citation_Abbreviation: NHC Forecast Cone Source_Contribution: Radius of storm influence Process_Step: Process_Description: This step and all the subsequent steps were completed by Elizabeth A. Pendleton or Travis K. Sterne using ESRI ArcGIS Pro geospatial software. Any steps that mention the use of “tools” or “functions” refer to geoprocessing tools utilized in ArcGIS Pro. The steps described in detail below are computed on the domain defined by the fabric dataset found in this data release. Each hazard dataset processed and included in this dataset has been clipped or modified to fit within the domain of the Northeast CCL study area. The final hazards raster (at end of step 4) presented here is a combination of three hazards that can be classified as perpetual hazards because they occur near constantly. Perpetual hazards include relative sea-level rise projections for 2030, storm recurrence interval , and short-term shoreline erosion rate. Perpetual hazard magnitude are stored according to place holder values, such that the ones place is occupied by relative sea-level rise rate, the tens place is occupied by storm recurrence interval, and the hundreds place is occupied by shoreline erosion rate. Each hazard has between 2 and 4 classes associated with presence, thresholds, or magnitude defined either in this study or the source data. Details about the source data and processing for each hazard layer are described below Process_Date: 2020 Process_Step: Process_Description: Step 1: Relative Sea-Level Rise: Sea-level rise projections were derived from estimates in Sweet et al. (2017) for 2030 (1-meter rise by 2100, intermediate projection). Estimated relative sea-level rise for 2030 was subtracted from the adjusted MHW Elevation Mosaic produced in the Fabric dataset using the Raster Calculator tool. This created an adjusted elevation raster, where values are relative to predicted relative sea-level rise in 2030. This layer was then reclassified to a value of 1 for pixels equal to or less than 0 meters MHW for the adjusted elevation, and 0 for values greater than 0 meters MHW. Source_Used_Citation_Abbreviation: RSLR Process_Date: 2021 Source_Produced_Citation_Abbreviation: PerpetualHazards1 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Travis K Sterne Contact_Organization: U.S. Geological Survey, NORTHEAST REGION Contact_Position: Geographer Contact_Address: Address_Type: mailing address Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: US Contact_Voice_Telephone: (508) 548 8700 x2219 Contact_Electronic_Mail_Address: tsterne@usgs.gov Process_Step: Process_Description: Step 2: Storm frequency: Storm tracks classified as tropical storm or hurricanes according to NOAA’s International Best Track Archive for Climate Stewardship (IBTrACS) Project were used to compile an estimate of storm frequency since 1842 for the Northeast region of the US. The vector data provided by the data source was first buffered using the Buffer tool to a radius of 100 nautical miles in order simulate the potential for variations in landfall consistent with the methods used by NOAA’s National Hurricane Center (NHC) in estimating 5-day forecasts for tropical cyclones. Overlapping buffered storm tracks were then counted using the Count Overlapping Features tool, resulting in a new vector polygon layer in which each individual polygon represented the number of buffered storm tracks overlapping in each location. This vector polygon layer was then clipped to the elevation domain and converted to raster format using the Clip and Feature to Raster tools. The resulting raster was then normalized to represent number of storms per 10 years and reclassified using Raster Calculator. The thresholds are (threshold range, reclassified value): Three storms or less, 40; four or more storms, 50 Source_Used_Citation_Abbreviation: NHC Forecast Cone Source_Used_Citation_Abbreviation: NOAA Storm Counts Process_Date: 2021 Source_Produced_Citation_Abbreviation: PerpetualHazards2 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Elizabeth A. Pendleton Contact_Organization: U.S. Geological Survey, NORTHEAST REGION Contact_Position: Geologist Contact_Address: Address_Type: mailing address Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: US Contact_Voice_Telephone: (508) 548 8700 x2259 Contact_Electronic_Mail_Address: ependleton@usgs.gov Process_Step: Process_Description: Step 3: Erosion: Short-term shoreline change transects from Himmelstoss et al. (2010) and Himmelstoss, Farris, and Weber (2018) were clipped to eliminate spatial overhang into inapplicable portions of the landscape such as back-bay areas of barrier islands using the Clip tool. Transects were then converted to raster format using the Feature to Raster tool and interpolated using two low-pass smoothing filters (Filter tool) order to fill in data gaps between the 50-meter-spaced transects. Only negative (erosion) shoreline change rates were used in this hazards layer. Thresholds were defined and the raster layer was reclassified as follows (erosion in meters, reclassified value): 0 to 0.75m, 100; 0.75 to 3m, 200; greater than 3m, 300. Raster Calculator was used to reclassify the landscape according to these thresholds. Source_Used_Citation_Abbreviation: Shoreline Change - MA Source_Used_Citation_Abbreviation: Shoreline Change - Not MA Process_Date: 2021 Source_Produced_Citation_Abbreviation: PerpetualHazards3 Process_Step: Process_Description: Step 4: The individual perpetual hazards layers were combined into a single geotiff using Raster Calculator by adding all previously compiled raster layers together (PerpetualHazards1 + PerpetualHazards2 + PerpetualHazards3). The resultant grid had values between 40 and 351, representing the combination of hazards and their magnitudes that exist for a given area. The attribute table for this integer grid was updated to include text descriptor fields to help users identify the perpetual hazards present for each grid value. See entity and attribute definitions for grid value definitions. Source_Used_Citation_Abbreviation: PerpetualHazards1 Source_Used_Citation_Abbreviation: PerpetualHazards2 Source_Used_Citation_Abbreviation: PerpetualHazards3 Process_Date: 2021 Source_Produced_Citation_Abbreviation: PerpetualHazardsComposite Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Raster Raster_Object_Information: Raster_Object_Type: Grid Cell Row_Count: 128024 Column_Count: 117988 Vertical_Count: 1 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Map_Projection: Map_Projection_Name: Mercator_1SP Map_Projection_Parameters: False_Easting: 0.0 False_Northing: 0.0 Latitude_of_Projection_Origin: 0.0 Longitude_of_Central_Meridian: 0.0 Standard_Parallel: 0.0 Standard_Parallel: 0.0 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: row and column Coordinate_Representation: Abscissa_Resolution: 10.0 Ordinate_Resolution: 10.0 Planar_Distance_Units: meters Geodetic_Model: Horizontal_Datum_Name: WGS_1984 Ellipsoid_Name: WGS 84 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.257223563 Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: USGS_CCL_PerpetualHazards_2022.tif Entity_Type_Definition: Raster geospatial data file. Entity_Type_Definition_Source: U.S. Geological Survey Attribute: Attribute_Label: OID Attribute_Definition: Internal object identifier. Attribute_Definition_Source: Esri Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated. Attribute: Attribute_Label: Value Attribute_Definition: Unique numeric values contained in each raster cell. Attribute_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 40 Enumerated_Domain_Value_Definition: No relative sea-level rise, low storm frequency, no erosion data Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 41 Enumerated_Domain_Value_Definition: Relative sea-level rise, low storm frequency, no erosion data Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 50 Enumerated_Domain_Value_Definition: No relative sea-level rise, moderate storm frequency, no erosion data Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 51 Enumerated_Domain_Value_Definition: Relative sea-level rise, moderate storm frequency, no erosion data Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 140 Enumerated_Domain_Value_Definition: No relative sea-level rise, low storm frequency, low erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 141 Enumerated_Domain_Value_Definition: Relative sea-level rise, low storm frequency, low erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 150 Enumerated_Domain_Value_Definition: No relative sea-level rise, moderate storm frequency, low erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 151 Enumerated_Domain_Value_Definition: Relative sea-level rise, moderate storm frequency, low erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 240 Enumerated_Domain_Value_Definition: No relative sea-level rise, low storm frequency, moderate erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 241 Enumerated_Domain_Value_Definition: Relative sea-level rise, low storm frequency, moderate erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 250 Enumerated_Domain_Value_Definition: No relative sea-level rise, moderate storm frequency, moderate erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 251 Enumerated_Domain_Value_Definition: Relative sea-level rise, moderate storm frequency, moderate erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 340 Enumerated_Domain_Value_Definition: No relative sea-level rise, low storm frequency, high erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 341 Enumerated_Domain_Value_Definition: Relative sea-level rise, low storm frequency, high erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 350 Enumerated_Domain_Value_Definition: No relative sea-level rise, moderate storm frequency, high erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 351 Enumerated_Domain_Value_Definition: Relative sea-level rise, moderate storm frequency, high erosion rate Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute: Attribute_Label: Count Attribute_Definition: Number of raster cells with this value Attribute_Definition_Source: Esri Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 63153 Range_Domain_Maximum: 276569584 Attribute: Attribute_Label: RSLR Attribute_Definition: Relative Sea-level Rise Presence/Absence Attribute_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: N Enumerated_Domain_Value_Definition: Indicates that specific area is not likely to be affected by relative seal-level rise in the coming decade Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Y Enumerated_Domain_Value_Definition: Indicates that specific area is likely to be affected by relative seal-level rise in the coming decade Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute: Attribute_Label: Storm_Freq Attribute_Definition: Storm frequency interval per 10 years. Attribute_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Low Enumerated_Domain_Value_Definition: Less than or equal to 3 tropical storms per 10 years have passed within 100 nautical miles of this location since records began in the 1840s. Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Moderate Enumerated_Domain_Value_Definition: Greater than or equal to 4 tropical storms per 10 years have passed within 100 nautical miles of this location since records began in the 1840s. Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute: Attribute_Label: Erosion Attribute_Definition: Erosion in meters based on short-term (<30 years) shoreline change records Attribute_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: NoData Enumerated_Domain_Value_Definition: No Data Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Low Enumerated_Domain_Value_Definition: 0 to 0.75 meters erosion based on calculated short-term regression rates. Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: moderate Enumerated_Domain_Value_Definition: 0.75 to 3 meters erosion based on calculated short-term regression rates. Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: high Enumerated_Domain_Value_Definition: Greater than 3 meters erosion based on calculated short-term regression rates. Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey - ScienceBase Contact_Address: Address_Type: mailing and physical address Address: Denver Federal Center, Building 810, Mail Stop 302 City: Denver State_or_Province: CO Postal_Code: 80225 Country: US Contact_Voice_Telephone: 1-888-275-8747 Contact_Electronic_Mail_Address: sciencebase@usgs.gov Resource_Description: This dataset contains the raster data layer (.tif) and associated files (.sld, .ovr, .cpg, and .dbf) needed to view and edit the information it contains, as well as the FGDC CSDGM metadata in XML format. The .sld is a Service Layer Definition file used by ScienceBase to display the data, the .ovr file contains the pyramids used by a GIS to display the data at different scales the .cpg file is for charactersets, and the .dbf is a dBASE table file used to store data attributes. Distribution_Liability: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: GeoTIFF Format_Version_Number: ESRI ArcGIS Pro v2.6.3 Transfer_Size: 355 Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://doi.org/10.5066/P96A2Q5X Network_Resource_Name: https://www.sciencebase.gov/catalog/file/get/6178323ad34e4c6b7fe2a4a0 Network_Resource_Name: https://www.sciencebase.gov/catalog/item/6178323ad34e4c6b7fe2a4a0 Access_Instructions: The first link is to the USGS publication page, the second link downloads all the data on the landing page, and the third link is to the dataset landing page. Fees: None Metadata_Reference_Information: Metadata_Date: 20230228 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Elizabeth A. Pendleton Contact_Position: Geologist Contact_Address: Address_Type: mailing and physical Address: 384 Woods Hole Rd City: Woods Hole State_or_Province: MA Postal_Code: 02543 Contact_Voice_Telephone: (508) 457 2259 Contact_Electronic_Mail_Address: ependleton@usgs.gov Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata, FGDC-STD-001-1998 Metadata_Standard_Version: FGDC-STD-001.1-1998