A "brownfield area" means a contiguous area of one or more brownfield sites, some of which may not be contaminated, that has been designated as such by a local government resolution. Such areas may include all or portions of community redevelopment areas, enterprise zones, empowerment zones, other such designated economically deprived communities and areas, and Environmental Protection Agency (EPA) designated brownfield pilot projects.
This layer provides a polygon representation of the boundaries of these designated Brownfield Areas in Florida. This is an update to the BROWNFIELD AREAS - MARCH 2008 layer.
FDEP GIS data is provided as a public service. FDEP makes every effort to provide accurate and complete data. Metadata is provided for all datasets and no data should be used without first reading and understanding the limitations of the data. The Florida Department of Environmental Protection (FDEP) provides NO WARRANTY for the availability or accuracy of this GIS data.
The Brownfelds GeoViewer is free, publicly accessible tool for viewing, searching and analyzing geographic data of Brownfield real estate in Florida within an internet browser. The GeoViewer allows you to search hundreds of Florida Brownfields based on various selection criteria and provides the opportunity to encourage the use and reuse of these sites as sources of employment, housing, recreation and open-space areas by providing links to the scanned documentation associated with the BSRA's execution as well as access information on financial incentives, liability protection, and other redevelopment expertise. Visit the site at <http://ca.dep.state.fl.us/imf?focus=brnflds> for more information.
For more information on this initiative or general information on the Florida Brownfields Redevelopment Program call 850-245-8934 or the specific Brownfields Coordinator for the FDEP District in which the site resides. Questions and comments may be directed to Kim Walker, Brownfields Liaison, at KIM.WALKER@DEP.STATE.FL.US.
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THE DATA INCLUDED IN FGDL ARE 'AS IS' AND SHOULD NOT BE CONSTRUED AS LEGALLY BINDING. THE UNIVERSITY OF FLORIDA GEOPLAN CENTER SHALL NOT BE LIABLE FOR ANY DAMAGES SUFFERED AS A RESULT OF USING, MODIFYING, CONTRIBUTING OR DISTRIBUTING THE MATERIALS.
A note about data scale:
Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data.
1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger.
Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: <http://geoplan.ufl.edu/education.html>
<http://www.dep.state.fl.us/waste/categories/brownfields/default.htm>
The FDEP Brownfields GeoViewer is a mapping tool designed to help you locate existing Brownfield areas and sites in the State of Florida. FDEP BrownFields GeoViewer:
<http://ca.dep.state.fl.us/imf/?focus=brnflds>
Brownfield Sites with Executed BSRAs The boundaries of the properties within each designated area polygon where a responsible party has entered into an agreement (BSRA) with FDEP to remediate and redevelop those parcels are available in the Brownfield Sites with Executed BSRAs spatial data layer. vector digital data FDEP/DWM/BWC/Brownfields <http://www.dep.state.fl.us/waste/categories/brownfields/default.htm> <http://ca.dep.state.fl.us/imf?focus=brnflds>
Coordinate Geometry (COGO) created from legal descriptions of the area specified in the resolution. Many of the brownfields include a large area with hundreds of property parcels. These boundaries were compared with the most recent cadastral boundaries available from the County Property Appraiser and spatially adjusted where necessary to clearly include the property parcels marked for redevelopment, the roadway right of way areas (where applicable), city boundaries, political boundaries, and other economic incentive zones.
Shapefiles, Coverages and CADD files of the area were provided by the local municipality or planning and development agencies in some cases. These shapefiles were used without modification to the geometry to match cadastral boundaries. Coverages and CADD files were converted to a format compatible with the process software.
Paper Maps showing the scaled boundaries of the area in relation to property parcels, geographic landmarks, and land surveys are sometimes included in the resolution. These maps are compared to available GIS boundaries in order to locate the specific property parcels referenced. The available cadastral boundaries are used to represent the area where only paper maps or parcel folio numbers are provided.
Boundaries from paper maps were digitized over the 1994-1995 DOQQs with various other existing layers for reference, such as TIGER Roads, USGS Railroads (24k), and FDOT Local Roads, using ArcView 3.2a
ArcView shapefiles were reprojected and imported into the base polygon shapefile.
Where shapefiles and paper maps were not available, legal descriptions were used to create the boundaries using COGO (Coordinate Geometry) in ArcInfo 8.0.2
Locational quality information was maintained throughout data development by recording the USERNAME, DATESTAMP, and SOURCE for each feature. See METHOD field to determine which process was used to develop each feature.
Graphics and attributes of the original 44 Brownfields current at the time of data development were visually verified by Camisha Clarke and Carl Eichenberger and independently QCd by Patrick Pence.
Finally, useful fields from the original database were joined to the polygons.
10/31/01 A seventh Ocala Brownfield area was added by screen digitizing.
The new designation in Monroe County marks the first Designated Brownfield Area in that county.
This new designation includes over 322 new acres of lands eligible for redevelopment under the Brownfields Redevelopment Act.
Each of these changes were incorporated into the new layer. The old point and polygon layers used to represent Designated Brownfield Areas in Florida will be deprecated on January 15, 2008 and will no longer be available through FDEP for download or future updates. These deprecated layers are called Brownfield Area Polygons and Brownfield Area Centroids.
This new designation includes over 9.5 new acres of lands eligible for redevelopment under the Brownfields Redevelopment Act.
This new designation includes over 1126 new acres of lands eligible for redevelopment under the Brownfields Redevelopment Act.
Additionally, spatial adjustments were made to the boundaries of previous designations now that new information is available. The boundaries of Bryan Dairy Road Brownfield Area (PINELLAS COUNTY) were spatially adjusted to position the vertices along the nodes of the 2007 Cadastral Parcel boundaries. And, the leftmost boundaries of Immokalee Airport Area (COLLIER COUNTY) were adjusted to follow the major roadway and parcel boundaries as intended in the map included in the county resolution.
This new designation includes over 82 new acres of lands eligible for redevelopment under the Brownfields Redevelopment Act.
This new designation includes over 10586 new acres of lands eligible for redevelopment under the Brownfields Redevelopment Act.
The dataset's projection file was redefined from FDEP Albers to FGDL Albers.
The dataset's fields were upcased and three new fields were added. DESCRIPT - based on AREA_NAME. FGDLAQDATE - based on the data the data was downloaded from the source. AUTOID - GeoPlan Center feature number based on FID + 1.
The dataset had two geoprocessing techniques applied to it, so that the older polygons could function more affectively in our SDE system, Integrate and Simplify Polygon Commands.
The Integrate command was run in order to better align abutting polygons while the Simplify Polygon command was run to removed extra unnecessary vertices.
Each command was run with a 1 meter correction tolerance in order to not negatively affect the polygons original shape.