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.

This feature class contains the geographic bounds and attribute information of wellhead protection overlay districts. These districts are each made through County ordinances and serve to protect an area of 1000 feet surrounding the wells that are listed in each ordinance. The feature class includes the name of the wells that are protected by each district, the zoning change application number, and the ordinance number that each district is approved under.

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

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.

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.

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.

The most widely used approach to sensitive environment mapping in the U.S. is NOAA's Environmental Sensitivity Index (ESI). This approach systematically complies information in standard formats for coastal shoreline sensitivity, biological resources, and human-use resources. ESI maps are useful for identifying sensitive resources before a spill occurs so that protection priorities can be established and cleanup strategies designed in advance. Using ESIs in spill response and planning reduces the environmental consequences of the spill and cleanup efforts. This data product includes data presented as GIS project files, MOSS files, extensive metadata and documentation, and .PDF maps for non-GIS users. ESI MAPS SHOULD NOT BE USED FOR NAVIGATION.

These files comprise modifications and additions to earlier releases of ESI atlases developed for the Gulf of Mexico region which are also archived at the NODC under separate accession numbers - Gulf of Mexico (Alabama 2007, Louisiana 2003, Mississippi 1997) under NODC accession number 0036821, and Florida 1995-997 under NODC accession number 0014187. The PDF maps included on this release for the upper Texas coast are also available as an earlier product filed under NODC accession number 0046089.

This release for the Gulf of Mexico ESI atlas was produced in May 2010. Specifically, it includes 1. New ESI data for Mississippi published in hard copy format in December, 2009, 2. Modifications to data layers in the Louisiana GIS data, 3. Adds the Florida ESI Geodatabase and PDFs to the DVD, and replaces the ESI, ESIP, hydro, and Hydrol data layers with updated shoreline data collected in 2003. 4. Upper coast Texas PDFs were included on this DVD release.

A polygon dataset showing the minor flowing water courses in St. Charles County, MO. Specifically minor water course areas include any flowing water bodies that there is an apparent visible width from 1ft resolution aerial photography. Does not include the Missouri and Mississippi Rivers. 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.

This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of Georgia. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats; sensitive biological resources; and human-use resources. This atlas was developed to be utilized within desktop GIS systems and contains GIS files and related D-base files. Associated files include MOSS (Multiple Overlay Statistical System) export files, .PDF maps, and detailed user guides and metadata.

The intertidal habitats of Georgia were originally mapped during overflights conducted in the fall of 1984. They were updated onto 1:24,000 U.S. Geological Survey (USGS) topographic maps by an experienced coastal geologist in January 1997 using recent vertical aerial photographs from 1993-1996 at various scales. Portions of the coast were flown in February 1997 to verify the photo- interpretation. The biological and human-use resources data were compiled by regional biologists in 1996 and 1997.

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.

This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the conterminous United States. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps.

A map to get up-to-date information about police activities and 911 calls in the St. Charles community.

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).

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).

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).