The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.

Linear Water Features includes single-line drainage water features and artificial path features that run through double-line drainage features such as rivers and streams, and serve as a linear representation of these features. The artificial path features may correspond to those in the USGS National Hydrographic Dataset (NHD). However, in many cases the features do not match NHD equivalent feature and will not carry the NHD metadata codes. These features have a MAF/TIGER Feature Classification Code (MTFCC) beginning with an "H" to indicate the super class of Hydrographic Features.

These data were automated to provide an accurate high-resolution historical shoreline of Mobile Bay, Alabama suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

2017 TIGER/Line® Shapefiles: Roads

This dataset was developed to support Mobile County. The project area is 1402 square miles of Mobile County land. The scope of work involved data acquisition and processing, and the development of digital color orthophotography at 0.5 foot pixel resolution, meeting ASPRS Class II Standards for 1"=100' scale mapping for the entire project area. Original contact information: Contact Name: Scott Kearney Contact Org: City of Mobile Title: GIS Manager Phone: (251) 208-7942 Email: kearney@cityofmobile.org

From the Flood Risk Non-Regulatory Database that went into effect June 5, 2020. For more information, visit FEMA.gov Flood Maps.Flood Hazard Zones: The FIRM is the basis for floodplain management, mitigation, and insurance activities for the National Flood Insurance Program (NFIP). Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which "... requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards," Section 2 (b) (4) of the Flood Disaster Protection Act of 1973. In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the NFIP. The DFIRM Database presents the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. The DFIRM database is a subset of the Digital FIS database that serves to archive the information collected during the FIS.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). 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.Flood Hazard Boundary Line: Boundary line dividing Special Flood Hazard Area Zones and boundary dividing Special Flood Hazard Areas of different Base Flood Elevations, flood Depths or flood velocities.Flood Hazard BFE: Location and attributes for base flood elevations lines shown on DFIRM. This line layer was converted to a polygon by COM GIS department.Flood Hazard Cross Section: Location and attributes for cross-section lines in the area covered by the DFIRM.Flood Hazard Map Index: Location and attributes for DFIRM hardcopy map panels.Use limitationsThe hardcopy FIRM and DFIRM and the accompanying FISs are the official designation of SFHAs and Base Flood Elevations (BFEs) for the NFIP. For the purposes of the NFIP, changes to the flood risk information published by FEMA may only be performed by FEMA and through the mechanisms established in the NFIP regulations (44 CFR Parts 59-78). These digital data are produced in conjunction with the hardcopy FIRMs and generally match the hardcopy map exactly. However the hardcopy flood maps and flood profiles are the authoritative documents for the NFIP. Acknowledgement of FEMA would be appreciated in products derived from these data.

These data were automated to provide an accurate high-resolution historical shoreline of Mobile Bay, AL suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808

Parking Areas include paved parking within entire update area, and unpaved parking within commercial and industrial parcels and other areas specified by the City of Mobile. This dataset is provided as part of 1":100' planimetric update mapping of bridge, buildings, driveways, parking, edge of pavement, and sidewalk features. Updates were performed by Kucera International, Inc. in 2023-2024 for approximately 472 square miles, including the following areas: City of Mobile metropolitan area, the Big Creek Watershed, the City of Chickasaw, and portions of the Cities of Prichard, Saraland, and Satsuma. See 2023 update boundary or contact City of Mobile for more information. Using the YEAR_REVIEWED field will tell you which ortho image year the feature was updated. The updates are based on three inch resolution RGB ortho-rectified aerial imagery that was collected in 2022 for the western half of Mobile County and in 2023 for the eastern half of Mobile County. Features were manually updated using “heads-up” fashion digitizing at a 1” = 100’ scale in 2D using the 3-inch resolution ortho-rectified imagery. Features that are new, no longer present or of significant change (defined by 10' by 10') are updated as they appear in 2022/2023 imagery. Unpaved parking added in 2023/2024 are within commercial and industrial parcels, as well as other areas specified as per case by the City of Mobile. The following SURFACE_TYPE attribute domain was used for features added in 2023/2024, unless otherwise specified as per case by City of Mobile: PAVED, UNPAVED. Other various surface types in the dataset were unchanged or modified in 2023/2024.

This data set contains true color (RGB) ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired from 20110217 - 20110217. The images were acquired with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution than the final ortho-rectified mosaic. Ortho-rectified mosaic tiles are an ancillary product of NOAA's Coastal Mapping Program (CMP), created through a wider Integrated Ocean and Coastal Mapping initiative to increase support for multiple uses of the data.

Data are in Geotiff format with associated browse graphic (.jpg) and HIStory (.his) files. Federal Geographic Data Committee metadata is included as .txt and .xml files.

The ground sample distance (GSD) for each pixel is 0.50 m.

These data were automated to provide an accurate high-resolution composite shoreline of GRAND BAY TO PENSACOLA MOBILE BAY, AL suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies. This metadata describes information for both the line and point shapefiles...

From April 13-20, 2013, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) conducted geophysical surveys and collected sediment samples from Dauphin Island, Alabama. This dataset, Ground Penetrating Radar (GPR) Trackline Locations Collected from Dauphin Island, Alabama, in April 2013, contains geospatial data and raster images of the GPR data. The GPR trackline locations are presented as Geographic Information System (GIS) files and the subsurface profile data are provided as images in Joint Photographic Experts Group (JPEG) format.

Building feature updates include Buildings (all types), trailers overhead structures, and docks/piers. This dataset is provided as part of 1":100' planimetric update mapping of bridge, buildings, driveways, parking, edge of pavement, and sidewalk features. Updates were performed by Kucera International, Inc. in 2023-2024 for approximately 472 square miles, including the following areas: City of Mobile metropolitan area, the Big Creek Watershed, the City of Chickasaw, and portions of the Cities of Prichard, Saraland, and Satsuma. See 2023 update boundary or contact City of Mobile for more information. Using the YEAR_REVIEWED field will tell you which ortho image year the feature was updated. The updates are based on three inch resolution RGB ortho-rectified aerial imagery that was collected in 2022 for the western half of Mobile County and in 2023 for the eastern half of Mobile County. Features were manually updated using “heads-up” fashion digitizing at a 1” = 100’ scale in 2D using the 3-inch resolution ortho-rectified imagery. Features that are new, no longer present or of significant change (defined by 10' by 10') are updated as they appear in 2022/2023 imagery. Unpaved parking added in 2023/2024 are within commercial and industrial parcels, as well as other areas specified as per case by the City of Mobile. The following SURFACE_TYPE attribute domain was used for features added in 2023/2024, unless otherwise specified as per case by City of Mobile: PAVED, UNPAVED. Other various surface types in the dataset were unchanged or modified in 2023/2024.*Features continue to be updated manually using “heads-up” fashion digitizing at a 1” = 100’ scale in 2D using current 3-inch resolution ortho-rectified imagery.

Pave Edge dataset is provided as part of 1":100' planimetric update mapping of bridge, buildings, driveways, parking, edge of pavement, and sidewalk features. Updates were performed by Kucera International, Inc. in 2023-2024 for approximately 472 square miles, including the following areas: City of Mobile metropolitan area, the Big Creek Watershed, the City of Chickasaw, and portions of the Cities of Prichard, Saraland, and Satsuma. See 2023 update boundary or contact City of Mobile for more information. Using the YEAR_REVIEWED field will tell you which ortho image year the feature was updated. The updates are based on three inch resolution RGB ortho-rectified aerial imagery that was collected in 2022 for the western half of Mobile County and in 2023 for the eastern half of Mobile County. Features were manually updated using “heads-up” fashion digitizing at a 1” = 100’ scale in 2D using the 3-inch resolution ortho-rectified imagery. Features that are new, no longer present or of significant change (defined by 10' by 10') are updated as they appear in 2022/2023 imagery. Unpaved parking added in 2023/2024 are within commercial and industrial parcels, as well as other areas specified as per case by the City of Mobile. The following SURFACE_TYPE attribute domain was used for features added in 2023/2024, unless otherwise specified as per case by City of Mobile: PAVED, UNPAVED. Other various surface types in the dataset were unchanged or modified in 2023/2024.

Sidewalk dataset is provided as part of 1":100' planimetric update mapping of bridge, buildings, driveways, parking, edge of pavement, and sidewalk features. Updates were performed by Kucera International, Inc. in 2023-2024 for approximately 472 square miles, including the following areas: City of Mobile metropolitan area, the Big Creek Watershed, the City of Chickasaw, and portions of the Cities of Prichard, Saraland, and Satsuma. See 2023 update boundary or contact City of Mobile for more information. Using the YEAR_REVIEWED field will tell you which ortho image year the feature was updated. The updates are based on three inch resolution RGB ortho-rectified aerial imagery that was collected in 2022 for the western half of Mobile County and in 2023 for the eastern half of Mobile County. Features were manually updated using “heads-up” fashion digitizing at a 1” = 100’ scale in 2D using the 3-inch resolution ortho-rectified imagery. Features that are new, no longer present or of significant change (defined by 10' by 10') are updated as they appear in 2022/2023 imagery. Unpaved parking added in 2023/2024 are within commercial and industrial parcels, as well as other areas specified as per case by the City of Mobile. The following SURFACE_TYPE attribute domain was used for features added in 2023/2024, unless otherwise specified as per case by City of Mobile: PAVED, UNPAVED. Other various surface types in the dataset were unchanged or modified in 2023/2024.

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). 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.

The SACS study area is subdivided into 22 planning reaches (Figure 4 1) derived from three datasets and visual edits based on coastal geomorphology and professional judgment. Datasets include the following:- The Nature Conservancy Ecoregions—boundaries of areas that The Nature Conservancy has prioritized for conservation- State boundaries- Maximum inland limit of Category 5 storm surge inundation represented by the NOAA Sea, Lake, and Overland Surges from Hurricanes (SLOSH) modelThe GIS process to develop the Planning Reaches entailed the follow:The most landward extent of the SLOSH model was manually measured. Based on that measurement a single sided buffer was generated contiguous to the Coast for the AOR. The buffer was manually edited to include some areas that fell outside the buffer distance, specifically in Northern North Carolina and around Mobile Alabama. The Union tool was then used in ArcGIS desktop to overlay Ecoregions and State boundary files. Then the intersect tool was used to overlay the SLOSH buffer with the Union file. The result of the Intersect was then manually cut along the lines defined by the coastal geomorphology using lines defined in the “Manual_Edit_lines” feature. The resulting feature class was then provided with names based on the state two-digit acronym and a sequential number.