{"action":"create","ckan_id":null,"date_created":"Mon, 16 Mar 2026 23:51:04 GMT","date_finished":null,"harvest_job_id":"cf9174c3-bffd-42ec-9f28-73fdb9d4cfda","harvest_source_id":"4c62556f-0fa3-402d-90f6-6a46cd80a117","id":"3537f308-4a55-49ff-a69f-98ff90dbb431","identifier":"https://hazards.fema.gov/filedownload/metadata/R10/2083025-Terrain.Study.xml","parent_identifier":null,"source_hash":"11d07c6ef423eb2b44fe425e1ec4f7b8ac978ac7f9ef0874490c3a579d015a8c","source_raw":"\r\n\r\n \r\n \r\n \r\n Strategic Alliance for Risk Reduction II\r\n 20250613\r\n Terrain Data Capture Submission for Yakima County, WA\r\n Version 2.8.5.6\r\n FEMA-DCS-Terrain\r\n \r\n Washington, DC\r\n Federal Emergency Management Agency\r\n \r\n https://hazards.fema.gov\r\n \r\n \r\n Federal Emergency Management Agency\r\n Unknown\r\n FEMA CASE 23-10-0019S\r\n \r\n \r\n \r\n \r\n \r\n Elevation data, as defined in FEMA?s Guidelines and Standards for Flood Risk Analysis and Mapping, describe the digital topographic data that were used to create the data representing the terrain environment of a watershed and/or floodplain. Elevation data requirements allow for flexibility in the types of information used to produce final terrain deliverables. Submission of the terrain data sources allows FEMA to account for the origins of the flood study terrain data.(Source: FEMA Guidelines and Standards for Flood Risk Analysis and Mapping.)\r\n Elevation data are used to represent the topography of a watershed and/or floodplain environment and to extract useful information for hydraulic and hydrologic models. (Source: FEMA Guidelines and Standards for Flood Risk Analysis and Mapping)\r\n \r\n \r\n \r\n \r\n 20250613\r\n \r\n \r\n MIP Submission Date\r\n \r\n \r\n In work\r\n Unknown\r\n \r\n \r\n \r\n -121.01\r\n -119.78\r\n 46.62\r\n 46.09\r\n \r\n \r\n \r\n \r\n ISO 19115 Topic Category\r\n elevation\r\n \r\n \r\n FEMA NFIP Topic Category\r\n Land Surface\r\n Relief\r\n Topography\r\n Digital Elevation Model\r\n Elevation Data\r\n Slope\r\n LiDAR\r\n Breaklines\r\n Contours\r\n DEM\r\n Flow Vectors\r\n Bare Earth\r\n TIN\r\n Triangulated Irregular Network\r\n Hydro Enforced DEM\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY YAKIMA COUNTY UNINCORPORATED AREAS\r\n FEMA-CID 530217\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n HYDROLOGIC UNIT 17070101\r\n HYDROLOGIC UNIT MIDDLE COLUMBIA-LAKE WALLULA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CONFEDERATED TRIBES AND BAND OF YAKAMA NATION\r\n FEMA-CID 530297\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n HYDROLOGIC UNIT 17070101\r\n HYDROLOGIC UNIT MIDDLE COLUMBIA-LAKE WALLULA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF GRANDVIEW\r\n FEMA-CID 530218\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF GRANGER\r\n FEMA-CID 530219\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF HARRAH\r\n FEMA-CID 530220\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF MABTON\r\n FEMA-CID 530221\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF MOXEE\r\n FEMA-CID 530009\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF NACHES\r\n FEMA-CID 530223\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF SELAH\r\n FEMA-CID 530226\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF SUNNYSIDE\r\n FEMA-CID 530227\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF TIETON\r\n FEMA-CID 530265\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF TOPPENISH\r\n FEMA-CID 530228\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF UNION GAP\r\n FEMA-CID 530229\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF WAPATO\r\n FEMA-CID 530230\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF YAKIMA\r\n FEMA-CID 530311\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n REGION 10\r\n STATE WA\r\n COUNTY YAKIMA\r\n COUNTY-FIPS 077\r\n COMMUNITY CITY OF ZILLAH\r\n FEMA-CID 530232\r\n HYDROLOGIC UNIT 17030003\r\n HYDROLOGIC UNIT LOWER YAKIMA\r\n \r\n \r\n None\r\n Acknowledgement of FEMA would be appreciated in products derived from these data. These digital data are produced for the purposes of updating/creating a FIRM Database and/or Flood Risk Products.\r\n \r\n \r\n \r\n Federal Emergency Management Agency\r\n \r\n \r\n mailing\r\n
500 C Street, S.W.
\r\n Washington\r\n District of Columbia\r\n 20472\r\n USA\r\n \r\n 1-877-336-2627\r\n fema-riskmap-ithelp@fema.dhs.gov\r\n \r\n \r\n Original data development environment may vary.Finishing of the data is done using Esri's ArcGIS Pro software version 3.4\r\n \r\n \r\n \r\n The classification classes are determined by the USGS 3DEP specifications and are an industry standard for the classification of LIDAR point clouds. All data starts the process as Class 1 (Unclassified), and then through automated classification routines, the classifications are determined using macro processing. The classes used in the dataset are as follows and have the following descriptions:\r\n\t\t\t\t\r\n\t\t\t\tClass 1 Processed, but Unclassified = These points would be the catch all for points that do not fit any of the other deliverable classes. This would cover features such as vegetation, cars, etc.\r\n\t\t\t\tClass 2 Bare-Earth Ground = This is the bare earth surface\r\n\t\t\t\tClass 7 Low Noise = Low points, manually identified below the surface that could be noise points in point cloud.\r\n\t\t\t\tClass 9 Water = Points found inside of inland lake/ponds\r\n\t\t\t\tClass 17 Bridge Decks = Points falling on bridge decks.\r\n\t\t\t\tClass 18 High Noise = High points, manually identified above the surface that could be noise points in point cloud.\r\n\t\t\t\tClass 20 Ignored Ground = Points found to be close to breakline features. Points are moved to this class from the Class 2 dataset. This class is ignored during the DEM creation process in order to provide smooth transition between the ground surface and hydro flattened surface.\r\n\t\t\t\tClass 21 Snow = (Where reliably identified)\r\n\t\t\t\tClass 22 Temporal Exclusion = (Typically non-favored data in inter-tidal zones)\r\n \r\n Checks were performed to ensure the data files can be opened, are georeferenced properly, and cover the geographic area completely. Additionally, field survey checkpoints are obtained to evaluate the accuracy of LiDAR products. As specified in the American Society for Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data, checkpoints in vegetated and non-vegetated areas are tested in a project area. A statistical analysis between the difference in elevations of the field survey checkpoints and LiDAR-derived, bare earth elevations at the same locations provides a quality assessment of the LiDAR data.\r\n The bare earth surface data is an estimation of the bare earth surface and does not include vegetative and built features. Likewise, it contains estimates of water edges at the time of data collection, and may not reflect current conditions. The bare earth LiDAR classification will contain voids where above ground features have been filtered out of the ground layer, including beneath buildings, motor vehicles, bridges, etc. Voids in the bare earth may also occur where insufficient energy was reflected from the surface to generate a valid return from the terrain. These types of voids in the bare earth surface tend to occur in heavily vegetated areas and over water bodies. Fresh or wet asphalt, wet sand and certain types of vegetation can also cause voids or anomalous elevations. Ground voids are interpolated in the derived terrain and Digital Elevation Model (DEM) products unless otherwise specified. The data may have been further processed to reclassify points found to be within delineated water bodies. Low confidence areas are delineated and provided in a separate dataset.\r\n \r\n \r\n Horizontal error in LiDAR derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters to determine positional accuracy of a dataset with respect to a horizontal datum. According to the National Standards for Spatial Data Accuracy (NSSDA), horizontal (radial) accuracy at the 95-percent confidence level is defined as Accuracyr (ACCr) where ACCr = 1.7308 x Root Mean Square Error (RMSEr). Only photo-identifiable checkpoints in the intensity imagery can be used to test the horizontal accuracy of the LiDAR. Photo-identifiable checkpoints in intensity imagery typically include checkpoints located at the ends of paint stripes on concrete or asphalt surfaces or checkpoints located at 90 degree corners of different reflectivity, e.g. a sidewalk corner adjoining a grass surface. The xy coordinates of checkpoints, as defined in the intensity imagery, are compared to surveyed xy coordinates for each photo-identifiable checkpoint. These differences are used to compute the tested horizontal accuracy of the lidar. As not all projects contain photo-identifiable checkpoints, the horizontal accuracy of the LiDAR cannot always be tested.\r\n \r\n 0.0\r\n 2008 EarthScope Yakima LiDAR Project\r\n\t\t\t\t\tHorizontal accuracy not explicitly reported within Lidar project documentation/metadata.\r\n \r\n \r\n 0.0\r\n 2014 Naches Yakima LiDAR Project\r\n\t\t\t\t\tHorizontal accuracy not explicitly reported within Lidar project documentation/metadata.\r\n \r\n \r\n 0.12\r\n 2014 Yakima Wetlands LiDAR Project\r\n\t\t\t\t\tHorizontal Positional Horizontal Accuracy reported as 12 cm at a 95% confidence level.\r\n \r\n \r\n 0.0\r\n 2015 OLC Yakima and Benton WA LiDAR Project\r\n\t\t\t\t\tHorizontal accuracy not explicitly reported within Lidar project documentation/metadata.\r\n \r\n \r\n 0.05\r\n 2018 Yakima Basin LiDAR Project\r\n\t\t\t\t\tHorizontal Positional Horizontal Accuracy reported as 5 cm at a 95% confidence level.\r\n \r\n \r\n 0.24\r\n 2018 Columbia Valley WA LiDAR Project\r\n\t\t\t\t\tHorizontal Positional Horizontal Accuracy reported as 24 cm at a 95% confidence level.\r\n \r\n \r\n 0.23\r\n 2019 Eastern Cascades WA LiDAR Project\r\n\t\t\t\t\tHorizontal Positional Horizontal Accuracy reported as 23 cm at a 95% confidence level.\r\n \r\n \r\n \r\n The vertical accuracy of the source lidar and final bare earth DEMs was tested with independent survey checkpoints. The survey checkpoints are evenly distributed throughout the project area and are located in areas of non-vegetated terrain, including bare earth, open terrain, and urban terrain, and vegetated terrain, including forest, brush, tall weeds, crops, and high grass. The vertical accuracy of the LiDAR is tested by comparing survey checkpoints to a triangulated irregular network (TIN) that is created from the LiDAR ground points. The accuracy results reported for the overall project are the accuracy results of the source LiDAR. All checkpoints located in non-vegetated terrain were used to compute the Non-vegetated Vertical Accuracy (NVA). Project specifications required a NVA of 19.6 cm at the 95% confidence level based on RMSEz (10 cm) x 1.9600. All checkpoints located in vegetated terrain were used to compute the Vegetated Vertical Accuracy (VVA). Project specifications required a VVA of 29.4 cm based on the 95th percentile.\r\n \r\n 0.0185\r\n \r\n 2008 EarthScope Yakima LiDAR Project\r\n\t\t\t\t\t\tThis lidar dataset is compiled to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data for 18.5 cm RMSEz, equating to 36.3 cm at 95% confidence level.\r\n \r\n \r\n 0.068\r\n \r\n 2014 Naches Yakima LiDAR Project\r\n\t\t\t\t\t\tThis data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 (cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 6.8 cm, equating to +/- 13.3 cm at 95% confidence level.\r\n \r\n \r\n 0.0185\r\n \r\n 2014 Yakima Wetlands LiDAR Project\r\n\t\t\t\t\t\tThis lidar dataset is compiled to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data for 18.5 cm RMSEz, equating to 36.3 cm at 95% confidence level.\r\n \r\n \r\n 0.042\r\n \r\n 2015 OLC Yakima and Benton WA LiDAR Project\r\n\t\t\t\t\t\tThis data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 (cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 4.2 cm, equating to +/- 8.2 cm at 95% confidence level.\r\n \r\n \r\n 0.05\r\n \r\n 2018 Yakima Basin LiDAR Project\r\n\t\t\t\t\t\tThis data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 (cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 5 cm, equating to +/- 9.7 cm at 95% confidence level.\r\n \r\n \r\n 0.026\r\n \r\n 2018 Columbia Valley WA LiDAR Project\r\n\t\t\t\t\t\tThis data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 (cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 2.6 cm, equating to +/- 5.1 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 27 cm at the 95th percentile\r\n \r\n \r\n 0.045\r\n \r\n 2019 Eastern Cascades WA LiDAR Project\r\n\t\t\t\t\t\tThis data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10 (cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 4.5 cm, equating to +/- 8.7 cm at 95% confidence level. Actual VVA accuracy was found to be +/- 25.8 cm at the 95th percentile\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Washington State Department of Natural Resources, Washington Geological Survey\r\n 20091109\r\n 2008 EarthScope Yakima LiDAR Project\r\n \r\n \r\n online\r\n \r\n \r\n \r\n 20091109\r\n \r\n \r\n ground condition\r\n \r\n TOPO1\r\n Digital Elevation Model (DEM) for riverine hydrologic, hydraulic modeling, floodplain delineation, and flood risk products.\r\n \r\n \r\n \r\n \r\n Washington State Department of Natural Resources, Washington Geological Survey\r\n 20140210\r\n 2014 Naches Yakima LiDAR Project\r\n \r\n \r\n online\r\n \r\n \r\n \r\n 20140210\r\n \r\n \r\n ground condition\r\n \r\n TOPO2\r\n Digital Elevation Model (DEM) for riverine hydrologic, hydraulic modeling, floodplain delineation, and flood risk products.\r\n \r\n \r\n \r\n \r\n Washington State Department of Natural Resources, Washington Geological Survey\r\n 20140926\r\n 2014 Yakima Wetlands LiDAR Project\r\n \r\n \r\n online\r\n \r\n \r\n \r\n 20140926\r\n \r\n \r\n ground condition\r\n \r\n TOPO3\r\n Digital Elevation Model (DEM) for riverine hydrologic, hydraulic modeling, floodplain delineation, and flood risk products.\r\n \r\n \r\n \r\n \r\n Washington State Department of Natural Resources, Washington Geological Survey\r\n 20160212\r\n 2015 OLC Lidar Yakima and Benton WA LiDAR Project\r\n \r\n \r\n online\r\n \r\n \r\n \r\n 20160212\r\n \r\n \r\n ground condition\r\n \r\n TOPO4\r\n Digital Elevation Model (DEM) for riverine hydrologic, hydraulic modeling, floodplain delineation, and flood risk products.\r\n \r\n \r\n \r\n \r\n Washington State Department of Natural Resources, Washington Geological Survey\r\n 20211004\r\n 2018 Columbia Valley WA LiDAR Project\r\n \r\n \r\n online\r\n \r\n \r\n \r\n 20211004\r\n \r\n \r\n ground condition\r\n \r\n TOPO5\r\n Digital Elevation Model (DEM) for riverine hydrologic, hydraulic modeling, floodplain delineation, and flood risk products.\r\n \r\n \r\n \r\n \r\n Washington State Department of Natural Resources, Washington Geological Survey\r\n 20180831\r\n 2018 Yakima Basin LiDAR Project\r\n \r\n \r\n online\r\n \r\n \r\n \r\n 20180831\r\n \r\n \r\n ground condition\r\n \r\n TOPO6\r\n Digital Elevation Model (DEM) for riverine hydrologic, hydraulic modeling, floodplain delineation, and flood risk products.\r\n \r\n \r\n \r\n \r\n Washington State Department of Natural Resources, Washington Geological Survey\r\n 20220809\r\n 2019 Eastern Cascades WA LiDAR Project\r\n \r\n \r\n online\r\n \r\n \r\n \r\n 20220809\r\n \r\n \r\n ground condition\r\n \r\n TOPO7\r\n Digital Elevation Model (DEM) for riverine hydrologic, hydraulic modeling, floodplain delineation, and flood risk products.\r\n \r\n \r\n Elevation data used for flood risk analysis go through LiDAR preliminary processing and the unclassified point cloud data are tested as specified in the USGS National Geospatial Program Base LiDAR Specification Version 1.2 and the ASPRS Positional Accuracy Standards for Digital Geospatial Data. Where the Mapping Activity Statement (MAS) requires bare earth post-processing of the floodplain area of interest (AOI), the elevation data are tested and comply with both the Non-vegetated Vertical Accuracy (NVA) and Vegetated Vertical Accuracy (VVA) requirements. Where no bare earth post-processing is specified, only the NVA requirements apply for LiDAR preliminary processing.\r\n 20250531\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n State Plane Coordinate System 1983\r\n \r\n 4602\r\n \r\n 45.8\r\n 47.3\r\n -120.5\r\n 45.3\r\n 1640416.6\r\n 0.0\r\n \r\n \r\n \r\n \r\n coordinate pair\r\n \r\n 5.0\r\n 5.0\r\n \r\n Foot\r\n \r\n \r\n \r\n North American Datum of 1983\r\n Geodetic Reference System 80\r\n 6378137\r\n 298.25\r\n \r\n \r\n \r\n \r\n North American Vertical Datum of 1988\r\n 0.0001\r\n Feet\r\n Attribute values\r\n \r\n \r\n \r\n \r\n \r\n \r\n S_Submittal_Info\r\n A spatial dataset consisting of polygons depicting the extents of the studied area.\r\n FEMA FIRM Database Technical Reference (available at https://www.fema.gov/guidelines-and-standards-flood-risk-analysis-and-mapping and on the FEMA Risk MAP Knowledge Sharing Site).\r\n \r\n \r\n \r\n \r\n Bare Earth DEM\r\n An elevation model where bare-earth elevation values have regularly spaced intervals in latitude and longitude (x and y).\r\n FEMA Guidelines and Standards for Flood Risk Analysis and Mapping (available at https://www.fema.gov/guidelines-and-standards-flood-risk-analysis-and-mapping and on the FEMA Risk MAP Knowledge Sharing Site)\r\n \r\n \r\n \r\n \r\n Tiling Index\r\n A spatial dataset that describes the tiling system used for multiple files of the same type.\r\n FEMA Guidelines and Standards for Flood Risk Analysis and Mapping (available at https://www.fema.gov/guidelines-and-standards-flood-risk-analysis-and-mapping and on the FEMA Risk MAP Knowledge Sharing Site)\r\n \r\n \r\n \r\n The elevation data package is made up of several data themes containing primarily spatial information. These data supplement the elevation datasets by providing additional information to aid flood risk evaluation and flood hazard area delineations.\r\n FEMA's Guidelines and Standards for Flood Risk Analysis and Mapping contains a detailed description of the data themes and references to other relevant information.\r\n \r\n \r\n \r\n \r\n \r\n \r\n FEMA, Mapping Information Platform\r\n \r\n \r\n mailing\r\n
500 C Street, S.W.
\r\n Washington\r\n District of Columbia\r\n 20472\r\n USA\r\n \r\n 1-877-336-2627\r\n fema-riskmap-ithelp@fema.dhs.gov\r\n \r\n \r\n No warranty expressed or implied is made by FEMA regarding the utility of the data on any other system nor shall the act of distribution constitute any such warranty.\r\n \r\n \r\n \r\n FEMA-Terrain-Capture\r\n \r\n \r\n \r\n \r\n \r\n https://hazards.fema.gov\r\n \r\n \r\n \r\n \r\n \r\n Contact Distributor\r\n \r\n \r\n \r\n 20250613\r\n \r\n \r\n \r\n MIPHelp\r\n Federal Emergency Management Agency\r\n \r\n \r\n mailing\r\n
500 C Street, S.W.
\r\n Washington\r\n District of Columbia\r\n 20472\r\n USA\r\n \r\n 1-877-336-2627\r\n fema-riskmap-ithelp@fema.dhs.gov\r\n \r\n \r\n FGDC Content Standards for Digital Geospatial Metadata\r\n FGDC-STD-001-1998\r\n \r\n https://hazards.fema.gov\r\n https://www.epsg.org\r\n FEMA NFIP Metadata Content and Format Standard\r\n \r\n \r\n\r\n\r\n","source_transform":null,"status":"error"}