16 datasets found
  1. a

    St Charles County Public Web Map

    • gis-sccmo.opendata.arcgis.com
    Updated Feb 23, 2022
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    St. Charles County Government (2022). St Charles County Public Web Map [Dataset]. https://gis-sccmo.opendata.arcgis.com/items/54308123d3a64beebc17a0cae0982839
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    St. Charles County Government
    Area covered
    St. Charles County
    Description

    This interactive map serves as a tool for users to view and explore a wide variety of map-based data related to St. Charles County. Use your mouse to navigate and zoom. Click on different layers to view their contents.This service is updated on an as-needed basis. By using this service you agree to the terms outlined in the disclaimer available at https://maps.sccmo.org/disclaimer.

  2. a

    Permit Lookup Web Map

    • gis-sccmo.opendata.arcgis.com
    Updated Feb 23, 2022
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    St. Charles County Government (2022). Permit Lookup Web Map [Dataset]. https://gis-sccmo.opendata.arcgis.com/items/4a781aa6dbfa41e6a5c19ef3a1ae5308
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    St. Charles County Government
    Description

    Search by location and find which city or county office to contact for building permits, septic permits, blasting permits, and land use permits.This service is updated on an as-needed basis. By using this service you agree to the terms outlined in the disclaimer available at https://maps.sccmo.org/disclaimer.

  3. a

    Data from: School District Boundaries

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Mar 19, 2019
    + more versions
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    St. Charles County Government (2019). School District Boundaries [Dataset]. https://hub.arcgis.com/maps/3c29619ef707413fa7ce94d31d2bebf9_11/about
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    Dataset updated
    Mar 19, 2019
    Dataset authored and provided by
    St. Charles County Government
    Area covered
    Description

    The school district boundaries in St. Charles County, MO.

  4. a

    St Charles County School Districts

    • gis-and-maps-wentzville.hub.arcgis.com
    Updated Apr 14, 2020
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    City of Wentzville (2020). St Charles County School Districts [Dataset]. https://gis-and-maps-wentzville.hub.arcgis.com/items/94ef36c1f8ea4a049860a421e0e693c7
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    Dataset updated
    Apr 14, 2020
    Dataset authored and provided by
    City of Wentzville
    Description

    School District boundaries for the Wentzville, Missouri area

  5. a

    Digital Flood Insurance Rate Map (DFIRM)

    • gis-sccmo.opendata.arcgis.com
    Updated Mar 20, 2019
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    St. Charles County Government (2019). Digital Flood Insurance Rate Map (DFIRM) [Dataset]. https://gis-sccmo.opendata.arcgis.com/items/98712e718956490fa08b21067a105809
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    Dataset updated
    Mar 20, 2019
    Dataset authored and provided by
    St. Charles County Government
    Area covered
    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 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 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). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

  6. a

    Water Course Major Area

    • hub.arcgis.com
    • gis-sccmo.opendata.arcgis.com
    Updated Mar 22, 2018
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    St. Charles County Government (2018). Water Course Major Area [Dataset]. https://hub.arcgis.com/maps/abb9ca90391c4978a631512fa0516c6f
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    Dataset updated
    Mar 22, 2018
    Dataset authored and provided by
    St. Charles County Government
    Area covered
    Description

    Major Rivers around St. Charles CountyA polygon dataset showing the major flowing water courses in St. Charles County, MO. The two are the Missouri and Mississippi River. The water boundary extents to the water's edge at the time of the last aerial photo acquired by St. Charles County Government. The datum is State Plane - Missouri East NAD 1983.Last Updated in 2015 from Ortho Imagery.

  7. s

    County Council Districts with Municipalities and Congressional Districts

    • data.stlouisco.com
    • dataold-stlcogis.opendata.arcgis.com
    Updated Oct 4, 2018
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    Saint Louis County GIS Service Center (2018). County Council Districts with Municipalities and Congressional Districts [Dataset]. https://data.stlouisco.com/documents/da20a44361224bc8b537604693f4b891
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    Dataset updated
    Oct 4, 2018
    Dataset authored and provided by
    Saint Louis County GIS Service Center
    Description

    PDF. A map of St. Louis County Council districts with municipalities and U.S. Congressional districts. Map scale is 1:62500. Link to metadata.

  8. a

    Floodways

    • gis-sccmo.opendata.arcgis.com
    Updated Dec 1, 2023
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    St. Charles County Government (2023). Floodways [Dataset]. https://gis-sccmo.opendata.arcgis.com/items/f59f6133024645788c8506638b3b5689
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    Dataset updated
    Dec 1, 2023
    Dataset authored and provided by
    St. Charles County Government
    Area covered
    Description

    Spatial elements representing the boundaries of the flood hazard areas depicted on the Flood Insurance Rate Map (FIRM) are lines. Definition source: FEMA Guidelines and Specifications for Flood Hazard Mapping Partners, Appendix L: Guidance for Preparing Draft Digital Data and DFIRM Databases.The Digital Flood Insurance Rate Map (DFIRM) 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 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). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

  9. a

    Flood Elevation Lines

    • gis-sccmo.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 20, 2019
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    St. Charles County Government (2019). Flood Elevation Lines [Dataset]. https://gis-sccmo.opendata.arcgis.com/items/2b5f356929e7462a9d37b47b362579b2
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    Dataset updated
    Mar 20, 2019
    Dataset authored and provided by
    St. Charles County Government
    Area covered
    Description

    Base flood elevation lines indicate the rounded whole foot water-surface elevation of the 1 percent annual chance flood. Definition source: FEMA Guidelines and Specifications for Flood Hazard Mapping Partners, Appendix L: Guidance for Preparing Draft Digital Data and DFIRM Databases.The Digital Flood Insurance Rate Map (DFIRM) 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 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). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

  10. a

    Daniel Boone Historic Home - Early Heritage Village

    • hub.arcgis.com
    Updated May 5, 2019
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    St. Charles County Government (2019). Daniel Boone Historic Home - Early Heritage Village [Dataset]. https://hub.arcgis.com/datasets/283c6b6ad0934a2aa032ae9714899d39
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    Dataset updated
    May 5, 2019
    Dataset authored and provided by
    St. Charles County Government
    Area covered
    Description

    A web map containing the locations of the various historical structures located at Early Heritage Village. This service is updated on an as-needed basis. By using this service you agree to the terms outlined in the disclaimer available at https://maps.sccmo.org/disclaimer.

  11. National Address Database

    • hub.arcgis.com
    • gisnation-sdi.hub.arcgis.com
    • +1more
    Updated Aug 13, 2021
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    Esri U.S. Federal Datasets (2021). National Address Database [Dataset]. https://hub.arcgis.com/maps/fedmaps::national-address-database
    Explore at:
    Dataset updated
    Aug 13, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    The NAD is a spatial database containing address data, point location coordinates, jurisdictions, record level metadata and other supporting data for addressable locations including structures, some sub-units within those structures and landmarks as included in the aggregated datasets from providers included therein. Its coverage includes twenty five whole and partial coverage states, including Arizona, Arkansas, Colorado, Connecticut, Delaware, Indiana, Iowa, Maine, Maryland, Massachusetts, Kansas, Montana, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia and Wisconsin, and the District of Columbia, as well as variable numbers of counties in several states: Anchorage Municipality, Haines and Matanuska-Susitna Boroughs, Yakutat City and Borough, and Dillingham City Alaska; Merced County, California; East Baton Rouge and Terrebonne Parishes, Louisiana; Anoka, Carver, Chisago, Dakota, Hennepin, Isanti, Le Sueur, Ramsey, Scott, Sherburne and Washington Counties, Minnesota; Boone, Christian, Cole, Greene, Jasper, St. Charles, St. Louis, Stone and Taney Counties, and Independence City, Missouri; Campbell, Crook and Teton Counties, Wyoming; Sioux Falls City and Rosebud Sioux Reservation, South Dakota.

  12. Oysters NOAA Benthic Atlas 2004-2007 Copano Bay

    • gis-tpwd.opendata.arcgis.com
    Updated Aug 2, 2022
    + more versions
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    Texas Parks and Wildlife (2022). Oysters NOAA Benthic Atlas 2004-2007 Copano Bay [Dataset]. https://gis-tpwd.opendata.arcgis.com/datasets/oysters-noaa-benthic-atlas-2004-2007-copano-bay
    Explore at:
    Dataset updated
    Aug 2, 2022
    Dataset provided by
    Texas Parks and Wildlife Department.
    Authors
    Texas Parks and Wildlife
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    In 2006 and 2007 the NOAA Office for Coastal Management purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays. The Center worked cooperatively with the Texas Parks and Wildlife Department (TPWD) and the Texas A&M University Center for Coastal Studies to develop benthic habitat data, primarily Submerged Aquatic Vegetation (SAV) for several coastal bays. The digital orthophotography was developed from imagery acquired as part of the 2004 overflight of the State of Texas developed for the USDA National Agricultural Imagery Program (NAIP).Additionally, this data is part of the NOAA Benthic Atlas containing a series of digital aerial imagery overlaid by interpretive maps of the benthic habitats of the middle and lower coastal bays and estuaries of Texas. The source imagery for this mapping effort was 1-meter resolution digital multispectral imagery, and the interpretive maps were created using semi-automated image processing and extensive field validation. The imagery and maps included in this report will be a valuable resource for managing and preserving seagrass and other coastal benthic habitats by providing either baseline or change detection data. This atlas includes the following bay systems San Antonio Bay, Espiritu Santo Bay, Copano Bay (including Mission, St. Charles, and Port Bays), Aransas Bay (including Ayers and Mesquite Bays), Redfish Bay, Nueces Bay, Corpus Christi Bay, Upper Laguna Madre, Baffin Bay (including Alazan, Cayo del Grullo, and Laguna Salada Bays), and Lower Laguna Madre (including South Bay).

  13. a

    Oysters NOAA Benthic Atlas 2004-2007 Corpus Christi Bay

    • gis-tpwd.opendata.arcgis.com
    Updated Aug 2, 2022
    + more versions
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    Texas Parks and Wildlife (2022). Oysters NOAA Benthic Atlas 2004-2007 Corpus Christi Bay [Dataset]. https://gis-tpwd.opendata.arcgis.com/maps/TPWD::oysters-noaa-benthic-atlas-2004-2007-corpus-christi-bay
    Explore at:
    Dataset updated
    Aug 2, 2022
    Dataset authored and provided by
    Texas Parks and Wildlife
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    In 2006 and 2007 the NOAA Office for Coastal Management purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays. The Center worked cooperatively with the Texas Parks and Wildlife Department (TPWD) and the Texas A&M University Center for Coastal Studies to develop benthic habitat data. Benthic habitat data was generated for all estuarine lands below mean high water within the study area.Additionally, this data is part of the NOAA Benthic Atlas containing a series of digital aerial imagery overlaid by interpretive maps of the benthic habitats of the middle and lower coastal bays and estuaries of Texas. The source imagery for this mapping effort was 1-meter resolution digital multispectral imagery, and the interpretive maps were created using semi-automated image processing and extensive field validation. The imagery and maps included in this report will be a valuable resource for managing and preserving seagrass and other coastal benthic habitats by providing either baseline or change detection data. This atlas includes the following bay systems San Antonio Bay, Espiritu Santo Bay, Copano Bay (including Mission, St. Charles, and Port Bays), Aransas Bay (including Ayers and Mesquite Bays), Redfish Bay, Nueces Bay, Corpus Christi Bay, Upper Laguna Madre, Baffin Bay (including Alazan, Cayo del Grullo, and Laguna Salada Bays), and Lower Laguna Madre (including South Bay).

  14. a

    New Orleans, Louisiana 10-meter Bathymetry - Gulf of Mexico (GCOOS)

    • hub.arcgis.com
    Updated Sep 30, 2019
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    jeradk18@tamu.edu_tamu (2019). New Orleans, Louisiana 10-meter Bathymetry - Gulf of Mexico (GCOOS) [Dataset]. https://hub.arcgis.com/maps/86c66fa1509b4ca095b6b8dca4e24061
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    Dataset updated
    Sep 30, 2019
    Dataset authored and provided by
    jeradk18@tamu.edu_tamu
    Area covered
    Description

    This DEM includes 10-meter bathymetry for the southeast Louisiana Gulf of Mexico and Lake Pontchartrain Coasts including St. Tammany, Orleans, Tangipahoa, St. Bernard, Livingston, St. John, St. Charles, and Jefferson Parishes.While every effort has been made to ensure that these data are accurate and reliable within the limits of the current state of the art, NOAA cannot assume liability for any damages caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.The dataset is provided "as is," without warranty to its performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of this dataset is assumed by the user. This dataset should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

  15. Oysters NOAA Benthic Atlas 2004-2007 Redfish Bay

    • gis-tpwd.opendata.arcgis.com
    Updated Aug 2, 2022
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    Texas Parks and Wildlife (2022). Oysters NOAA Benthic Atlas 2004-2007 Redfish Bay [Dataset]. https://gis-tpwd.opendata.arcgis.com/items/f289bc6671334fe5b962ad64c17eda84
    Explore at:
    Dataset updated
    Aug 2, 2022
    Dataset provided by
    Texas Parks and Wildlife Department.
    Authors
    Texas Parks and Wildlife
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The digital orthophotography was developed from imagery acquired as part of the 2004 overflight of the State of Texas developed for the USDA National Agricultural Imagery Program (NAIP). In order to achieve a horizontal accuracy of 5 meters, CE90 it is necessary to reprocess the imagery incorporating new GPS field control. It should be noted that the imagery was not tide coordinated so tidal variation may exist between sorties. Horizontal accuracy of the reprocessed source imagery was verified to be better than 5 meters at 90% confidence level in accordance with National Map Accuracy Standards for a 1-meter GSD.Additionally, this data is part of the NOAA Benthic Atlas containing a series of digital aerial imagery overlaid by interpretive maps of the benthic habitats of the middle and lower coastal bays and estuaries of Texas. The source imagery for this mapping effort was 1-meter resolution digital multispectral imagery, and the interpretive maps were created using semi-automated image processing and extensive field validation. The imagery and maps included in this report will be a valuable resource for managing and preserving seagrass and other coastal benthic habitats by providing either baseline or change detection data. This atlas includes the following bay systems San Antonio Bay, Espiritu Santo Bay, Copano Bay (including Mission, St. Charles, and Port Bays), Aransas Bay (including Ayers and Mesquite Bays), Redfish Bay, Nueces Bay, Corpus Christi Bay, Upper Laguna Madre, Baffin Bay (including Alazan, Cayo del Grullo, and Laguna Salada Bays), and Lower Laguna Madre (including South Bay).

  16. a

    Oysters NOAA Benthic Atlas 2004-2007 Upper Laguna Madre

    • gis-tpwd.opendata.arcgis.com
    Updated Aug 2, 2022
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    Texas Parks and Wildlife (2022). Oysters NOAA Benthic Atlas 2004-2007 Upper Laguna Madre [Dataset]. https://gis-tpwd.opendata.arcgis.com/datasets/oysters-noaa-benthic-atlas-2004-2007-upper-laguna-madre
    Explore at:
    Dataset updated
    Aug 2, 2022
    Dataset authored and provided by
    Texas Parks and Wildlife
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    In 2006 and 2007 the NOAA Office for Coastal Management purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays. The digital orthophotography was developed from imagery acquired as part of the 2004 overflight of the State of Texas developed for the USDA National Agricultural Imagery Program (NAIP). In order to achieve a horizontal accuracy of 5 meters, CE90 it is necessary to reprocess the imagery incorporating new GPS field control. It should be noted that the imagery was not tide coordinated so tidal variation may exist between sorties. Horizontal accuracy of the reprocessed source imagery was verified to be better than 5 meters at 90% confidence level in accordance with National Map Accuracy Standards for a 1-meter GSD.Additionally, this data is part of the NOAA Benthic Atlas containing a series of digital aerial imagery overlaid by interpretive maps of the benthic habitats of the middle and lower coastal bays and estuaries of Texas. The source imagery for this mapping effort was 1-meter resolution digital multispectral imagery, and the interpretive maps were created using semi-automated image processing and extensive field validation. The imagery and maps included in this report will be a valuable resource for managing and preserving seagrass and other coastal benthic habitats by providing either baseline or change detection data. This atlas includes the following bay systems San Antonio Bay, Espiritu Santo Bay, Copano Bay (including Mission, St. Charles, and Port Bays), Aransas Bay (including Ayers and Mesquite Bays), Redfish Bay, Nueces Bay, Corpus Christi Bay, Upper Laguna Madre, Baffin Bay (including Alazan, Cayo del Grullo, and Laguna Salada Bays), and Lower Laguna Madre (including South Bay).

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St. Charles County Government (2022). St Charles County Public Web Map [Dataset]. https://gis-sccmo.opendata.arcgis.com/items/54308123d3a64beebc17a0cae0982839

St Charles County Public Web Map

Explore at:
Dataset updated
Feb 23, 2022
Dataset authored and provided by
St. Charles County Government
Area covered
St. Charles County
Description

This interactive map serves as a tool for users to view and explore a wide variety of map-based data related to St. Charles County. Use your mouse to navigate and zoom. Click on different layers to view their contents.This service is updated on an as-needed basis. By using this service you agree to the terms outlined in the disclaimer available at https://maps.sccmo.org/disclaimer.

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