Photo Science, Inc. Unknown vector digital data SFWMD_2004_05_LCLU This data set serves as documentation of land cover and land use within the South Florida Water Management District as it existed in 2004-05. Land cover/land use data was photointerpreted from 2004-05 1:12,000 scale CIR, RGB and stereo panchromatic aerial photography and classified using the SFWMD modified FLUCCS classification system. Features were stereoscopically interpreted from the aerial photography and the 1999 vector data was updated on screen over corresponding USGS DOQQ's. Horizontal accuracy of the data corresponds to the positional accuracy of the USGS DOQQ's. The minimum mapping unit for classification was 2 acres for wetlands and 5 acres for uplands. Creation of a 2004-05 landcover/landuse map from 1:12,000 scale CIR, RGB and Stereo Panchromatic photography and aligned to USGS DOQQ's. This data was produced for the SFWMD's "Land Cover/Land Use 2004-05 Mapping Update Project". en 20041118 20050209 Source photography date. Complete Updated approximately every 5 years. -82.335721 -79.980078 28.563939 24.495789 227359.858333983577.19583361033.5291671537737.383333 none LCLU LULC Land Cover Land Use FLUCCS vegetation agriculture urban built up upland forests wetlands barren land transportation communication utilities levees levee melaleuca dead trees off road vehicles orv exotics burned areas field check points errors 1999 brazillian pepper none SFWMD South Florida Water Management District County Broward Collier Charlotte Glades Hendry Highlands Lee Martin Miami Dade Monroe Okeechobee Orange Osceola Palm Beach Polk St. Lucie Florida USA United States America 2004 2005 This database is made available to the public in response to the Florida Public Records Law, Florida Statutes, Chapter 119. Acknowledgement of South Florida Water Management District would be appreciated in products derived from this data.The positional accuracy of this data meets USGS NMAS for 1:12000 scale maps. This data has a minimum classification accuracy of 90% for each Level I category, 85% for each FLUCCS Level II category and 80% for FLUCCS level III and IV categories at a confidence level of 90%. The overall classification accuracy was calculated as a weighted average of all classes for each deliverable (weighted by total area covered by each class). Michael Broker SFWMD GIS Data Steward, Sr. mailing and street

3301 Gun Club Road

West Palm Beach FL 33406 USA (561) 682-6936 (561) 681-6318 mbroker@sfwmd.gov 8am-5pm M-F \\ad.sfwmd.gov\DFSRoot\data\egis\data\lclu2004\maps\SectionDeliverableBoundaryDevelopment12012006.jpg Graphic JPEG Photo Science, Inc. was contracted in May 2006 to map all deliverables associated with the 2004-05 Land Cover / Land Use Mapping Update project Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.4.1420 Personal GeoDatabase Feature Class Attribute Accuracy The attribute tables contained their contract specified fields in the correct order and were defined correctly. There were no superfluous attribute tables or attribute fields in the final deliverable. All fields were coded correctly and completely. There was a value in every polygon for every attribute. Guidelines for use of LUCODE, LCCODE and modifiers were specified in the PI Key and correctly applied. The use of dual-coding persisted, for instance, the land use code may be 1730 (Military Installation) while the land cover code may be 4270 (Live Oak). P.I. Decision Notes and General Notes were filled out whenever deemed useful or appropriate by the Photointerpreter and were standardized by utilizing a geodatabase domain which allowed identical comments/issues to be identified easily. There was a value in every polygon. Where no value applies the default was 'N/A'. The following attributes were associated with each of the digitized polygons: o LCCODE: this attribute was populated with a land cover value based on the FLUCCS agreed upon in this contract. However, in cases where the land use value was a more accurate descriptor than cover the LCCODE took on the same value as the LUCODE. The SFWMD and/or the PI Key provided direction on how to apply LCCODE and LUCODE in the mapping effort. This field remained present in the final deliverable. o LUCODE: this attribute was populated with a land use value based on the FLUCCS agreed upon in this contract. Where it appeared the land cover was dominant over the land use, the land cover value was used. In these cases the LUCODE took on the same value as the LCCODE. This field remained present in the final deliverable. o UPDATE_STATUS: this attribute denoted if the polygon has been inspected for change and if so the status. Modifiers: these attribute types were used to add additional detail to the classification, such as temporary conditions, minor features, or management factors, that was of particular interest to the SFWMD but did not warrant adding new classes to the FLUCCS system. This provided some extra opportunity for the SFWMD to customize the classification without affecting overall consistency. They were divided into the three classes below: Impact (Burned, ORV: Off-Road Vehicles), Vegetation (Dead Trees, Exotics, Tree Islands), and Species (Melaleuca, Brazilian Pepper). See the respective Modifier Key pages for descriptions of these modifiers and information on their use in this data layer. The SPECIES modifiers were added to all LCLU polygons to indicate the presence of these conditions or species as identifiable on the aerial photograph to a degree that did not meet the criteria for classification as the dominant land cover. There was no minimum mapping unit for the application of these modifiers; they were applied to all LCLU polygons as observed on the aerial photograph. o MELALEUCA: See the PI Key page for 4240 Melaleuca for a description of this species and its typical photo-signature and habitat. This field was coded with "N/A" values when the FLUCCS codes were not appropriately 4240. o BRAZILIAN_PEPPER: See the PI Key page for 4220 Brazilian pepper for a description of this species and its typical photo-signature and habitat. This field was coded with "N/A" values when the FLUCCS codes were not appropriately 4220. o EXOTICS: Exotics are species introduced to Florida, either purposefully or by accident, from a natural range outside of Florida. This modifier was used for species such as Australian Pine, Kudzu and Old World Climbing Fern (Lygodium microphyllum or japonicum) o TREE_ISLANDS: Tree islands are the most distinct plant communities in the Everglades. In general, they consist of low trees, which are situated on slight elevations above the surrounding marsh areas. They range in size from small circular islands of one half to 5 or 6 acres, to larger, tear-drop shaped "strands", which can grow to over 300 acres in size. These are wetland communities in which species composition varies, and they may have been classified variously as bay heads, hammocks, willows or cypress islands. The "tree islands" modifier was applied to both the forested and shrub portions of tree islands that contained both, and also to tree islands that were made up of only forest or only shrubs. The modifier was not applied to any surrounding marsh areas. o DEAD_TREES: Dead trees, also known as "snags", were found in areas where normal water flow has been impounded, either naturally or through the building of dams. Trees killed by these methods commonly appear denuded, with whitish or grayish signatures. o ORV: Off-Road Vehicles (ORV) include a variety of land and water craft, ranging from all-terrain vehicles such as four-wheel motorbikes, swamp and dune buggies, and motorcycles, to personal watercraft such as jet and air boats. Evidence of ORV use usually appeared as irregular, random trails through areas not accessible by roads. They were found either on upland areas or through wetland areas such as prairies and marshes. They were particularly evident in the Big Cypress National Preserve in Collier County. o BURNED: Burned areas are those affected by fire, either through natural means such as wildfire, or through the controlled use of fire to achieve land management goals. Fire is used to achieve a variety of objectives, such as enhancing forage for cattle, restoring a fire-dependent ecosystem, improving wildlife habitat or preparing sites for reforestation. Burned areas usually appear as a flat, bluish, or blue-green signature on the aerial photo. o PHOTO_INTERPRETER_CODE: the photointerpreter responsible for the land cover and land use determination was identified by this code value. This field was present in the final deliverable. o SUPERVISING_PSM: the name and license number of the supervising registered professional surveyor and mapper in whose responsible charge the photo interpreters performed the mapping and updates. o GENERAL NOTE: Decisions that record uncertainties or level of confidence were recorded in this note field. Also general notes for anecdotal data unrelated to the PI decision was referenced here. This field and its value remained present in the final deliverable. o DELIVERABLE_SECTION: SFWMD staff created this field to designate in which section deliverable each polygon was to be mapped. The following work accuracy specifications also applied: o Polygon linework was not to be generalized along sinuous features. Linework properly characterized the shapes of boundaries appropriate to the resolution of the DOQQ base image and in accordance with the PI Key. o The existing linework derived from the 1999-2000 LCLU base layer that had no errors and no land cover or land use change possessed coincident coordinates with the original polygons. o Minimum dimensions of mapped features conformed to the Minimum Mapping Standards. o Identically coded polygons were not adjacent to each other within a polygon feature class. o There were no duplicate features. o Topology rules provided in the template geodatabase were validated and defined.Errors were completely corrected prior to delivery of each deliverable. o All processing tolerances were consistent across all deliverables and were not cause movement of geometries affecting polygon linework accuracy requirement (#1) or coordinate coincidence requirement (#2).Tolerance values were recorded in the metadata. o Each deliverable included all features of the previously mapped sections and were representative of the entire data set that had been completed to date. The geographic extent of the data was maintained in a production cut of the database that was spatially comprehensive of all work completed to date. o The data was integrated so that boundaries between each section deliverable did not split feature polygons. Additional Photointerpretation conventions Photo Science adhered to are defined as follows: o Rivers, streams, waterways, and canals were delineated where they average approximately 50-feet or greater in width and mapped as continuous features in those segments. o Levees that were 40-feet or greater in width were mapped when they were distinct and continuous landscape features. o Transportation corridors, including roads and rail yards were mapped when they exceeded an average of 100-feet in width over substantial segments. o Only roadways that have four lanes and a substantial median were mapped. The width was determined based on the full extent of the right-of-way, including mowed areas, as visible on the aerial photography. o Median strips in excess of 150-feet in width were delineated and classified for land cover. o Utility corridors were delineated when they were approximately 150-feet or greater in width. In those corridor segments where the land cover was identical to adjacent areas such as through pasture and rangelands, the utility feature was not mapped. Quality Control (QC) Photo Science performed QC on all project deliverables and verified the following: o Classification Accuracy o Positional and Line Work Accuracy o Attribute Accuracy Photo Science performed a through QC for classification accuracy, positional and line work accuracy and attribute accuracy on 100% of the polygons associated with the final delivery of this project. Photo Science randomly select a minimum of 10 - 20 polygons per DOQQ. Fifty percent of these polygons were targeted polygons updated by Photo Science. Half of the updated polygons selected targeted "difficult" or "confusing" classification codes. If, the QC process revealed problems with classification accuracy, positional and line work accuracy and, or attribute accuracy, the number of polygons per DOQQ scrutinized during Photo Science's QC increased up to 100 percent if needed. Feedback on all edit calls were provided to the individual photointerpreter assigned the specific DOQQ, decision rules reviewed and opportunities for process improvement investigated and implemented. Classification Accuracy. Photo Science assessed overall quality and classification accuracy using a standardized quality control process to meet accuracy criteria. Each section deliverable, as well as the pilot, had a minimum classification accuracy of 90% for each Level I category, 85% for each FLUCCS Level II category and 80% for FLUCCS Level III and IV categories at a confidence level of 90%. The overall accuracy of each section deliverable had a minimum classification accuracy of 90% at a confidence interval of 90%. Classification accuracy was assessed using photointerpretation techniques combined with ground truth field verification of randomly selected polygons. All polygons classified underwent a photointerpretation QC process to identify any critical defects which could have degraded the FLUCCS integrity of the LCLU map. These defects included, but were not limited to: o Improper selection of collateral data o Incorrect feature interpretation and coding o No feature consistency across project area o Features not labeled clearly or completely o Incorrect polygon annotations o Missing polygons o No adherence to minimum acreage size requirement Photo Science was aware that problems were identified by the SFWMD in the 1999-2000 LCLU dataset in regards to residential density classifications and the limited use of modifiers such as the exotic species attribute. Photo Science scrutinized the problematic classes and all modifiers. Further, Photo Science photointerpreters also documented any discernable discrepancies between the time of the source photography was acquired (2004-05) and current (2006-07) field conditions.Many of these types of discernable discrepancies between 2004-05 source imagery and current field conditions were associated with urban development on previously non-developed land. Although the source imagery typically takes priority on these types of situations, photointerpreters noted the discrepancy using a new or existing point feature class in the geodatabase so that the information is readily available to the end user and is accessible via GIS. Photo Science was aware that there may be several reasons why a LCLU feature may be misclassified. These reasons were typically related to the quality of the source imagery, potential signature variance, ambiguous decision rules and FLUCCS codes, the potential aggregation of mapping units, improper use of reference and ancillary data, etc. An example of some common photointerpretation misclassifications that Photo Science avoided are presented below: o Mixed rangeland areas (3300) may be misclassified as unimproved pasture areas (2120) o Light industrial (1550) may be misclassified as wholesale sales and service (1423) Photo Science continually referenced the PI Key to clarify the parameters for each FLUCCS code and engaged in extensive ground truth field verification to help avoid any misclassifications. Photo Science recommended modifications of the PI Key to the SFWMD to correct deficiencies found and additional modifiers to the FLUCCS and/or additional FLUCCS codes were added. During the photointerpretation and subsequent QC effort, it was imperative that all wetland classes were properly classified and were in compliance with a minimum mapping resolution of two acres (except wetlands isolated in an upland matrix which were mapped at a one acre MMU), and that all other upland LCLU types were properly delineated and classified and met the MMU of five acres (except uplands isolated in a wetland matrix that were mapped at a two acres MMU). Interpretation decisions were based on high-resolution stereoscopic viewing of the 2004-05 digital panchromatic source imagery using softcopy photogrammetric workstations in conjunction with required and optional reference data. The source data, required reference data, and optional reference data layers were integrated directly into the digital interpretation workspace wherever possible to coordinate these sources with feature extraction from source imagery. Regular internal coordination meetings were held between Photo Science's Project Manager, the QC Manager, and the photointerpreters to discuss any classification issue or anomaly. Reference was continually made to the PI Key to help guide the resolution of these issues. Photo Science also checked for coding accuracy for the non-FLUCCS classification fields. Minimum mapping unit for land cover/land use polygons was 2 acres for wetlands and 5 acres for uplands. The study area boundaries for the project were defined by the SFWMD. Land use/land cover features were captured and classified according to the rules, conventions, and descriptions in the SFWMD LCLU 2006 Mapping Project Photointerpretation Classification Key. The LC/LU map was delivered with some wetland polygons under the two acre minimum mapping unit, the majority existing from the 1999 dataset. All 'Changed' wetlands below half acre were deleted. Positional and Line Work Accuracy for the final deliverable to the SFWMD met or exceeded the Map Accuracy Standards discussed in the SOW. Positional and line work accuracies were assessed by visually checking the FLUCCS code for mapping units by an independent quality control photointerpreter. This review also included ensuring that all coordinates were referenced to the State Plane Coordinate System, Florida East Zone, units survey feet, NAD 1983 (HARN). The LCLU delineations were performed in a heads-up digital environment relative to the 2004-05 color-infrared (CIR) or Natural Color 3.75' DOQQ's. Monoscopic screen viewing of imagery did not take place for mapping difficult features such as vegetation. In cases where stereoscopic viewing was required, the 2004-05 digital panchromatic imagery was stereoscopically viewed using softcopy photogrammetric workstations. All boundaries were captured through on screen digitizing or other methods to ensure accurate and coincident registration of LCLU data to the DOQQs. No positional shifts were found within horizontal accuracy range of features in 1999-2000 DOQQs and 2004-2005 DOQQs, The SFWMD provided a feature class within the geodatabase which was used as the basis for the 2004-05 LCLU dataset. The source for this layer was an exact copy of the 1999-2000 LCLU feature class. It included topological rules which were enforced, as well as domains and subtypes suitable to the project objectives. A summary of the Positional Accuracy standards Photo Science adhered to are presented as follows: o The Work Order deliverable feature datasets and feature classes were a derivative product from the existing 1999-2000 LCLU base layer. The persisting linework from this layer was not adjusted unless it was corrected or updated. o All coordinates was referenced to the State Plane Coordinate System, Florida East Zone, units survey feet, North American Datum (NAD) 1983 (HARN). The ESRI projection file for"NAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_Feet" coordinate system was utilized and maintained to ensure compatibility with the SFWMD Enterprise GIS database. A detailed description of this information was attached as Appendix E). o Projection information was present in the metadata file and was accessible through ArcCatalog. o The linework of all features was within 20 feet of the coordinate position of the feature represented in the DOQQ. USGS Unknown Unknown 1:12000 CIR,RGB, and Panchromatic stereo DOQQ's 2004-05 ground condition none photographic signature for interpretation of land use/land cover data. An overview of the mapping methodology and work flow which was utilized during the project is displayed in the Project Methodology Flow Chart presented above under Project Methodology. The typical daily workflow included the loading of data, syncing of computers and viewing/editing environments (softcopy and ArcMap digitizing), polygon review process, incorporation and use of ancillary data, etc. Photo Science photointerpreters utilized appropriate source and required reference data overlaid directly in the editing windows. The 2004-05 LCLU Template Geodatabase developed by the SFWMD contained the source 1999 LCLU base layer that was the source of the new features. It also contained the domains, subtypes, layerfiles and topology validation rules which help guide the photointerpreters in the production environment and in the appropriate formatting of the final deliverable. The 1999-2000 LCLU data provided by the SFWMD was used by Photo Science as a visual base over which to compare against the 2004-05 DOQQs. Changed polygons were delineated and attributed for the new (2004-05) LCLU feature class. Photo Science corrected any errors from the original 1999 LCLU dataset so as not to propagate these errors in the new dataset. Photo Science scrutinized problem such as limited use of modifiers such as exotics attributes in the 1999 LCLU dataset. Photo Science used the 1999-2000 layer as reference at all times during the delineation and quality control process and worked to maintain an appropriate level of consistency with that layer unless other information indicated to the contrary. This did not compromise accuracy. Inconsistencies between residential density codes in the 1999 LCLU dataset were recognised and the parcel data was utilised in an effort to alleviate these inconsistencies. SFWMD advised Photo Science to use county parcel data as reference material in the production process as visual overlays in the editing windows.The parcel data was symbolized according to the acres per dwelling and helped categorize neighborhood polygon densities.In areas of disagreement (eg. empty lots) a five acre template was applied over the dataset, the dwellings were counted and calculated for appropriate code assignment.No line work was transferred from the county parcel data. Michael Broker SFWMD GIS Data Steward, Sr. mailing and physical address

3301 Gun Club Road

West Palm Beach FL 33406 USA (561) 682-6936 (561) 681-6318 mbroker@sfwmd.gov ESRI ArcGIS V 9.112/04/07 Dataset copied.\\CDMD3B01DD1\Projects\Lee County\shp\LU\2004_05_LCLU_SFWMD_Geodatabase.mdb2012032009004600 Vector Simple4FALSE0FALSEFALSE coordinate pair 0.004167 0.004167 survey feet D_North_American_1983_HARN Geodetic Reference System 80 6378137.000000 298.257222 GCS_North_American_1983_HARNNAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_Feet 0.004167 Explicit elevation coordinate included with horizontal coordinates SFWMD_2004_05_LCLU_Imperialclip Feature Class02004_05 Land Cover/Land Use datasetSFWMD Shape_Area Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. FIDOID400 Shape Feature geometry. ESRI Coordinates defining the features. OBJECTIDInteger990 OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. ShapeGeometry000 SHAPE Feature geometry. ESRI Coordinates defining the features. LCCODESmallInteger440 LCCODE this attribute will be populated with a land cover value based on the FLUCCS agreed upon in this contract. However, in cases where the land use value is a more accurate descriptor than cover the LCCODE will take on the same value as the LUCODE. The SFWMD and/or the PI Key will provide direction on how to apply LCCODE and LUCODE in the mapping effort. This field will remain present in the final deliverable. SFWMD LCCODELand Cover CodeSFWMDLUCODESmallInteger440 UPDATE_STAUPDATE_STASmallInteger440 LUCODE this attribute will be populated with a land use value based on the FLUCCS agreed upon in this contract. Where it appears that the land cover is more dominant than the land use, the land cover value will be used. In these cases the LUCODE will take on the same value as the LCCODE. This field will remain present in the final deliverable. SFWMD LUCODELand Use CodeSFWMDMELALEUCASmallInteger440 BRAZILIAN_BRAZILIAN_SmallInteger440 MELALEUCA See the PI Key page for 4240 Melaleuca for a description of this species and its typical photo-signature and habitat. This field will be coded with "N/A" values when the FLUCCS codes are not appropriately 4240. SFWMD MELALEUCAMelaleucaSFWMDEXOTICSSmallInteger440 TREE_ISLANTREE_ISLANSmallInteger440 EXOTICS Exotics are species introduced to Florida, either purposefully or by accident, from a natural range outside of Florida. This modifier will be used for species such as Australian Pine, Kudzu and Old World Climbing Fern (Lygodium microphyllum or japonicum) SFWMD EXOTICSExoticsSFWMDDEAD_TREESSmallInteger440 DEAD_TREES Dead trees, also known as "snags", can be found in areas where normal water flow has been impounded, either naturally or through the building of dams. Trees killed by these methods commonly appear denuded, with whitish or grayish signatures. SFWMD DEAD_TREESDead_TreesSFWMDORVSmallInteger440 ORV Off-Road Vehicles (ORV) include a variety of land and water craft, ranging from all-terrain vehicles such as four-wheel motorbikes, swamp and dune buggies, and motorcycles, to personal watercraft such as jet and air boats. Evidence of ORV use usually appears as irregular, random trails through areas not accessible by roads. They can be found either on upland areas or through wetland areas such as prairies and marshes. They are particularly evident in the Big Cypress National Preserve in Collier County. SFWMD ORVOff Road VehiclesSFWMDBURNEDSmallInteger440 PHOTO_INTEPHOTO_INTESmallInteger440SUPERVISINSUPERVISINSmallInteger440GENERAL_NOGENERAL_NOString12000DELIVERABLDELIVERABLSmallInteger440MAPPING_COMAPPING_COSmallInteger440 BURNED Burned areas are those affected by fire, either through natural means such as wildfire, or through the controlled use of fire to achieve land management goals. Fire is used to achieve a variety of objectives, such as enhancing forage for cattle, restoring a fire-dependent ecosystem, improving wildlife habitat or preparing sites for reforestation. Burned areas usually appear as a flat, bluish, or blue-green signature on the aerial photo. SFWMD BURNEDBurnedSFWMDMMU_MATRIXSmallInteger440 Shape_LengShape_LengDouble1900 MMU_MATRIX This field is not being utilized. SFWMD MMU_MATRIXNot usedSFWMDHyperlinkString20000 HyperlinkShape_AreaDouble1900link to PI KeyPhoto ScienceHyperlinklink to PI KeyPhoto SciencePositive real numbers that are automatically generated. SFWMD_2004_05_LCLU_PI_KEY Relationshiphyperlink to FLUCCS pages in 2004-05 PI KeyPhoto Science The FLUCCS uses numeric codes to represent the land use or land cover types within the classification system pertaining to wetlands, uplands, and anthropogenic features. The land cover code is defined in the lccode field and the land use code is defined in the lucode field of the PAT. User should refer to the Florida Department of Transportation FLUCCS and the SFWMD Photointerpretation Classification Key for full definition of the class codes and their application. Michael Broker South Florida Water Management District GIS Data Steward, Sr. mailing and physical address

3301 Gun Club Road

West Palm Beach FL 33406 USA (561) 682-6936 (561)-681-6318 mbroker@sfwmd.gov 8am - 5pm M-F Downloadable data This data is a conceptual tool utilized for project development and implementation only. This data is not self-executing or binding, and does not otherwise affect the interests of any person including any vested rights or existing uses of real property. Any information, including but not limited to maps and data, received from the SFWMD is provided "as is" without any warranty and the SFWMD expressly disclaims all express and implied warranties of merchantability and fitness for a particular purpose. The District does not make any representations regarding the use, or the results of the use, of the information provided to you by the District. 347.412 There is no cost associated with ordering SFWMD GIS datasets Contact SFWMD GIS Data Distributor, Tim Minter Custom maps/data made to the public's specifications are not available. The customer will need to have a GIS software package that is capable of importing and reading ArcInfo coverages and ArcView shapefiles. 20071212 Richard Eastlake Photo Science,inc Technical Manager mailing and physical address

10033 Martin Luther King Street North

St. Petersburg FL 33716 USA (727) 576-9500 (727) 576-9600 reastlake@photoscience.com 7am-3.30pm M-F FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile en 2012032009004600FALSE20120320093823002012032009382300{3C9992E9-7DA8-452C-A4CD-C8B98F99F892}SFWMD_2004_05_LCLU_Imperialclip0020.000file://\\CDML6YZBHM1\Projects\36546\78046\EWC\SFWMD_2004_05_LCLU_Imperialclip.shpLocal Area NetworkProjectedGCS_North_American_1983_HARNNAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_Feet<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.0'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,656166.6666666665],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-81.0],PARAMETER[&quot;Scale_Factor&quot;,0.9999411764705882],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.33333333333333],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2881]]</WKT><XOrigin>-17791300</XOrigin><YOrigin>-41645400</YOrigin><XYScale>137249422.94257641</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333335</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2881</WKID></ProjectedCoordinateSystem>Clip SFWMD_2004_05_LCLU FDEP_FW_Imperial_FINAL E:\Projects\36546\78046\EWC\SFWMD_2004_05_LCLU_Imperialclip.shp #Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcGIS 10.0.0.2414SFWMD_2004_05_LCLU_Imperialclip227359.858333983577.1958331537737.38333361033.5291671-82.335721-79.98007828.56393924.4957891002ISO 19115 Geographic Information - MetadataDIS_ESRI1.0dataset002file://Local Area NetworkPersonal GeoDatabase Feature ClassShapefile0.000NAD_1983_HARN_StatePlane_Florida_East_FIPS_0901_FeetEPSG7.4.1020363620120320