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A polygon feature class of municipal boundaries within Miami-Dade County, data includes the municipal codes and names.Updated: As Needed The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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A polygon feature class of the Miami-Dade County outer boundaries.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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A line feature class of Miami-Dade County's Urban Development Boundary(UDB) boundaries. The boundary was adopted by the Board of County Commissioners (BCC) as per recommendation. This boundary identifies the area where urban development may occur through the year 2030. Development orders permitting urban development will generally be approved within the UDB at some time through the year 2030 provided that level-of-service standards for necessary public facilities will be met. Adequate countywide capacity will be maintained within the UDB by increasing development densities or intensities inside the UDB or by expanding the UDB when the need for such change is determined to be necessary through the amendment process.Revisions: Date: November 2021 By: Juan C. Pelaez Reason: The Urban Development Boundary (UDB) is updated as a result of Comprehensive Development Master Plan (CDMP) amendment approvals, and is subject to Interpretation by the Director of the Regulatory and Economic Resources (RER) Department where there are questions pertaining to its alignment.Last updated November 2021. Updated: Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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2005 Urban Development Area
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TwitterThe 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. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2010 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.
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A line feature class of the Subdivision lines conforming the boundaries of the Subdivision polygons within Miami-Dade County. Created for mapping purposes, using the field LINE_TYPE (sub-typed) in order to differentiate the line type for the subdivisions .(See Attributes -subtypes)Updated: Weekly-Sat The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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A polygon feature class representing the Miami-Dade County Commission District boundaries.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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A polygon feature class of the county zoning boundaries and overlays derived from the zoning maps and other layers from the parcel model. This dataset should┬аnot be used for applications requiring accurate plat survey information such as zone and overlay dimension and area.Updated: Weekly-Sat The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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A polygon feature class of the Community Development District (CDD) boundaries maintained by the Miami-Dade County Special Taxing District office. CDD's are special taxing districts or local units of special-purpose government. A CDD may charge separate non-ad valorem special assessments for satisfying the debt obligations of the district relating to financing, constructing, maintaining and servicing the district's improvements and/or services.Updated: Weekly-Fri The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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A line feature class of the county flood criteria boundaries within Miami-Dade County. The purpose of the Miami-Dade County Flood Criteria Map is to determine the minimum ground surface elevation of developed properties, crown/grade of roads, and secondary canal banks based on a 10-year, 24-hour storm event, 2060 scenario with SLR, and the minimum top elevation of seawalls, unless higher elevations are required by other regulatory applicable standards. Available for review and comment October 22, 2021 through December 22, 2021.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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2000 Urban Development Area
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TwitterThe digital orthophoto quadrangles (DOQ's) produced by the USGS for the South Florida Ecosystem Initiative iare color-infrared, 1-meter ground resolution quadrangle images covering 3.75 minutes of latitude by 3.75 minutes of longitude at a map scale of 12,000. Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map. The primary digital orthophotoquadrangle (DOQ) is a 1-meter ground resolution, quarter-quadrangle (3.75 minutes of latitude by 3.75 minutes of longitude) image cast on the Universal Transverse Mercator projection (UTM) on the North American Datum of 1983 (NAD83). The geographic extent of the DOQ is equivalent to a quarter-quadrangle plus the overedge ranges from a minimum of 50 meters to a maximum of 300 meters beyond the extremes of the primary and secondary corner points. The overedge is included to facilitate tonal matching for mosaicking and for the placement of the NAD83 and secondary datum corner ticks. The normal orientation of data is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south. The radiometric image brightness values are stored as 256 gray levels, ranging from 0 to 255. The standard, uncompressed gray scale DOQ format contains an ASCII header followed by a series of 8-bit image data lines. The keyword-based, ASCII header may vary in the number of data entries. The header is affixed to the beginning of the image and is composed of strings of 80 characters with an asterisk (*) as character 79 and an invisible newline character as character 80. Each keyword string contains information for either identification, display, or registration of the image. Additional strings of blanks are added to the header so that the length of a header line equals the number of bytes in a line of image data. The header line will be equal in length to the length of an image line. If the sum of the byte count of the header is less than the sample count of one DOQ image line, then the remainder of the header is padded with the requisite number of 80 character blank entries, each terminated with an asterisk and newline character.
The objective of this project was to provide color infrared (CIR) digital orthophoto coverage for the entire south Florida ecosystem area. The main advantage of a digital orthophoto is that it gives a measurable image free of distortion. Therefore, the digital orthophotos for the ecosystem provide multi-use base images for identifying natural and manmade features and for determining their extent and boundaries; the images can also be used for the interpretation and classification of these areas.
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A polygon feature class of Miami-Dade County, public school attendance zones for High Schools.Updated: Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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This data collection is comprised of statistical summary (average, minimum, maximum, standard deviation) LST scenes (processed in ArcGIS) from LST scenes that were captured at 11 AM EDT/12 PM EST by the Landsat 8 satellite (2013-2022). Scenes are Level 2-1, retrieved from the USGS Earth Explorer. Processed LST rasters in TIFF format are composed of 30x30m pixels that contain a LST value in Celsius (°C) for that area. Each raster image is clipped to Miami-Dade County boundaries (downloaded from the Miami-Dade County Open Data Hub). References: Miami-Dade County. (n.d.). Data, Maps, and Apps. Open Data Hub. Retrieved May 20, 2024, from https://gis-mdc.opendata.arcgis.com/ USGS. (n.d.). EarthExplorer. United States Geological Survey. Retrieved May 20, 2024, from https://earthexplorer.usgs.gov/
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TwitterA geospatial interface will be developed using ArcIMS software. The interface will provide a means of accessing information stored in the SOFIA database and the SOFIA data exchange web site through a geospatial query. The spatial data will be served using the ArcSDE software, which provides a mechanism for storing spatial data in a relational database. A spatial database will be developed from existing data sets, including national USGS data sets, the Florida Geographic Digital Library, and other available data sets. Additional data sets will be developed from the published data sets available from PBS and other projects.
The South Florida restoration effort requires multidisciplinary information relating to present and historical conditions for use in responsible decision-making. The South Florida Information Access (SOFIA) database is the cornerstone of information management for the South Florida place-based science program. Currently, the SOFIA web site and database have a minimal geospatial interface which relies on the Geo-Data Explorer (GeoDE) system developed by the USGS Energy Resources Program in Reston. A geospatial interface using currently available commercial software (ArcIMS) is needed to develop a more easily maintained and user-friendly interface. Developing an interface that is directly connected to the SOFIA website and database will provide a more stable long term solution to providing a geospatial interface.
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A line feature class of the county flood criteria boundaries within Miami-Dade County, adopted by the County Commission in 1982.Updated: Every 10 yrs The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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A polygon feature class of Miami-Dade County Police Department (MDPD) Grid Boundaries.Updated: Bi-Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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TwitterTo provide processed satellite images of key areas along the U. S.-Mexico border for use in a broad spectrum of studies. Landsat data have been used by government, commercial, industrial, civilian, and educational communities in the U.S. and worldwide. They are being used to support a wide range of applications in such areas as global change research, agriculture, forestry, geology, resources management, geography, mapping, water quality, and oceanography. Landsat data have potential applications for monitoring the conditions of the Earth's land surface.
The passage of the North American Trade Agreement (NAFTA), establishment of the Border Environmental Cooperation Commission as well as the EPA U.S./Mexico Border XXI Program has focused attention to the environmental social-cultural, and economic conditions in the United States-Mexico frontier and to the enhanced necessity of a binational, transborder approach in addressing problems. Towards this end, this U.S.-Mexico borderlands Thematic Mapper selection is designed to be utilized as fundamental part of a basic geographic information system database for natural resource, environmental, and land-management studies.
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A line feature class of the Urban Infill Area lines conforming the boundaries of the Urban Infill Area polygons within Miami-Dade County. Created by the Planning and Zoning Department (1998).Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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A polygon feature class of the property ownership boundaries as defined by legal description and deeds.┬аUsed for Maintaining property boundaries throughout Miami-Dade County.Updated: Weekly-Sat The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere
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A polygon feature class of municipal boundaries within Miami-Dade County, data includes the municipal codes and names.Updated: As Needed The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere