3 datasets found
  1. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, PASCO COUNTY, FLORIDA, USA

    • data.wu.ac.at
    arce, mif, shp
    Updated Nov 14, 2017
    + more versions
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    Federal Emergency Management Agency, Department of Homeland Security (2017). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, PASCO COUNTY, FLORIDA, USA [Dataset]. https://data.wu.ac.at/schema/data_gov/ODJmNjkzYzMtZjgyNS00MzM5LWFlZmEtZDk3ODExMGM0YmVm
    Explore at:
    shp, mif, arceAvailable download formats
    Dataset updated
    Nov 14, 2017
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    U.S. Department of Homeland Securityhttp://www.dhs.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    a4837cd99644f053d11f92db7209991696629007
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk Information And supporting data used to develop the risk data. The primary risk; classificatons used are the 1-percent-annual-chance flood event, the 0.2-percent- annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (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 the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

  2. a

    CHHA CP

    • data-pascocounty.opendata.arcgis.com
    Updated Sep 21, 2023
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    Pasco County BOCC (2023). CHHA CP [Dataset]. https://data-pascocounty.opendata.arcgis.com/datasets/chha-cp/about
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    Dataset updated
    Sep 21, 2023
    Dataset authored and provided by
    Pasco County BOCC
    Area covered
    Description

    The data illustrates the height of possible storm surge flooding under certain scenarios, and do not account for erosion, subsidence, sea-level change or future construction. Water levels are based on storm surge scenarios in the referenced SLOSH MOM tide scenario. The data, maps, and information provided should only be used as a tool for general education/awareness of the storm surge hazard at a city/community level (not for a parcel level/grid cell assessment). The SLOSH MOM storm surge risk data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps. This map should not be used to replace the maps used for hurricane evacuation zones. Hurricane evacuation zones are drawn at a local and state level and consider additional information and specific criteria for a particular region in addition to the storm surge hazard. Users are urged to consult local officials for flood risk inside the hatched areas marked as leveed areas in the map. The data and maps in this tool are provided "as is", without warranty to their performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of these data is assumed by the user. This tool should be used strictly as a planning reference and storm surge risk awareness tool and not for navigation, permitting, legal, or regulatory purposes. Any conclusions drawn from the analysis of this information are not the responsibility of the National Weather Service, National Hurricane Center, Office for Coastal Management, or its partners.

  3. 2011 SWFWMD Topographic Lidar: Pasco County

    • fisheries.noaa.gov
    html
    Updated Dec 15, 2011
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    OCM Partners (2011). 2011 SWFWMD Topographic Lidar: Pasco County [Dataset]. https://www.fisheries.noaa.gov/inport/item/49700
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    htmlAvailable download formats
    Dataset updated
    Dec 15, 2011
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Jan 29, 2011
    Area covered
    Description

    SWFWMD regularly uses digital topographic information to support regulatory, land management and acquisition, planning, engineering and habitat restoration projects. LiDAR data will support hydrologic modeling activities associated with the FederalEmergency Management Agency (FEMA), and in the creation of Digital Flood Insurance Rate Maps(DFIRM). The LiDAR data will support the creation of Fede...

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Federal Emergency Management Agency, Department of Homeland Security (2017). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, PASCO COUNTY, FLORIDA, USA [Dataset]. https://data.wu.ac.at/schema/data_gov/ODJmNjkzYzMtZjgyNS00MzM5LWFlZmEtZDk3ODExMGM0YmVm
Organization logoOrganization logo

DIGITAL FLOOD INSURANCE RATE MAP DATABASE, PASCO COUNTY, FLORIDA, USA

Explore at:
shp, mif, arceAvailable download formats
Dataset updated
Nov 14, 2017
Dataset provided by
Federal Emergency Management Agencyhttp://www.fema.gov/
U.S. Department of Homeland Securityhttp://www.dhs.gov/
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Area covered
a4837cd99644f053d11f92db7209991696629007
Description

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk Information And supporting data used to develop the risk data. The primary risk; classificatons used are the 1-percent-annual-chance flood event, the 0.2-percent- annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (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 the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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