Florida Department of Environmental Protection 19990630 Storage Tank Contamination Monitoring (STCM) - January 2023 vector digital data Tallahassee, FL Florida Department of Environmental Protection State of Florida Regulated Facilities from STCM (Storage Tank Contamination Monitoring).This coverage includes facilities with registered above-ground or underground storage tanks. This dataset contains both currently and previously regulated facilities. It also contains facilities registered with DEP for the purpose of tracking on-site petroleum contamination. The Petroleum Program regulates (permitting, compliance, enforcement) the design, construction, operation and maintenance of Petroleum Facilities Storage Tanks. 20001120 20230102 ground condition Complete Daily -87.578568 -79.873729 31.038623 24.508608 ISO 19115 Topic Category environment None environment Contamination STCM environment Storage Tanks Environmental Monitoring and Modeling None Florida Contact the program area Because a variety of sources and methods were used to derive information for this data, the quality of the locations may vary accordingly. See the column COL_METH for determination method. The data is undergoing review to improve accuracy. This data is intended to be used for general locational representation and should not be considered appropriate for legal and/or cadastral purposes. The locational data point of each is provided by the responsible party and reviewed by the Florida Department of Environmental Protection (FDEP) agency staff. FDEP makes no representations of any kind, including, but not limited to, the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the digital data layers furnished hereunder. FDEP assumes no responsibility to maintain them in any manner or form. By using data provided herein, the user acknowledges that terms and conditions have been read and that the user is bound by these criteria. Florida Department of Environmental Protection, Division of Waste Management, Petroleum Cleanup Program Roberta Dusky Environmental Specialist III mailing and physical
2600 Blair Stone Rd MS 4575
Tallahassee Florida 32399-2400 US 850-245-8799 roberta.dusky@dep.state.fl.us 9:00 to 18:00 Please, email is preferred. Include your name, organization, question or description of data requested, date data is needed, and brief description of how the data will be used. STCM_Support@dep.state.fl.us Data was Swapp staff and Field Inspectors None Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 Storage Tank and Petroleum/Cleanup Monitoring: https://floridadep.gov/waste/permitting-compliance-assistance/content/storage-tank-and-petroleum-contaminationcleanup GeoPlan relied on the integrity of the attribute information within the original data. Layer was created in ArcGIS 9.3.1 Layer has not been completed This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan. This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan. onLine Spatial and Attribute Information Inception of scripted refresh process. Information is pulled from regulatory database daily. Florida Department of Environmental Protection Carol Carnley/Farid Moghadam 850/245-8854 Pull scripts modified to reflect table, view and column name changes due to migration of databases to agency web-compliant naming standards. Pull scripts modified to allow greater precision during location calculations and to assume NULL values as NAD83. Pull scripts modified to integrate STCM into SWAP WebPoint data cleanup. The Metadata for this layer was updated on 9/17/2009 and by Chris Williams FDEP DWM GIS Coordinator 20091017 FDEP DWM Chris Williams GIS Coordinator mailing and physical
2600 Blairstone Road
Tallahassee Florida 32399-2400 US 850-245-8758 850-245-8811 Christopher.A.Williams@dep.state.fl.us 8:00 to 18:00 Please, email it is preferred. Include your name, organization, date data is needed, and brief description of what the data will be used for Metadata and symbology updated for DataCatalog/DataMiner. 20091125 New field DOCUMENTS added as per a request from Division of Waste Management. Metadata updated. withheld 20161216 New fields added EVENT_RANK, EVENT_OWNER, EVENT_CONTACT_PHONE, EVENT_CONTACT_EMAIL as per a request from DWM withheld 20190620 This dataset was downloaded by the GeoPlan Center on 1/2/2023 from the FDEP website (http://geodata.dep.state.fl.us/). The data was received as a geodatabase and was in the following projection: NAD_1983_2011_Florida_GDL_Albers. The dataset was projected to NAD_1983_HARN_Florida_GDL_Albers using the NAD_1983_HARN_To_NAD_1983_2011 transformation. This dataset is updated daily. Contact the FDEP for the most recent data. The dataset has a number of points located outside the boundaries of Florida and in bodies of water. As these points are reviewed they should be corrected by FDEP over time. Prior to 10/16/2017 this layer was considered sensitive and two layers were maintained for ETDM purposes, stcm and stcm_pub. Stcm_pub will be deprecated and stcm will become public. - Added the field DESCRIPT based on SITE_TYPE. - Added fields LAT_DD_1, LONG_DD_1, MGRS, and GOOGLEMAP. LAT_DD_1 and LONG_DD_1 were calculated using the calculate geometry command and selecting decimal degrees as the units. MGRS was calculated using the Convert Coordinate Notation tool and selecting Output coordinate Format as MGRS. The GOOGLEMAP field was calculated by concatenating: "https://www.google.com/maps/place/" & [MGRS]. - Added the field FGDLAQDATE based on date downloaded from source. - Upcased all text in the attribute table except for DOCUMENTS field. - Data set was renamed stcm_jan23 from STCM_SP Field notes (July 2019): Fields added: EVENT_RANK EVENT_OWNE EVENT_CONT EVENT_CO_1 withheld 20230102 GeoPlan Vector SimpleFALSE70495TRUEFALSE stcm_jan23 STCM_JAN23 FDEP Feature Class70495 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTIDOID4100 Shape Feature geometry. Esri Coordinates defining the features. SHAPEGeometry400 LOC_ID Location identification FDEP STCM DATABASE LOC_IDInteger4100 FAC_ID Facility identification number FDEP STCM DATABASE FAC_IDInteger4100 STATUS Status FDEP STCM DATABASE STATUSString1200 CONTAM Undefined by Source FDEP STCM DATABASE CONTAMString300 NAME Facility name FDEP STCM DATABASE NAMEString5000 FAC_TYPE Facility type FDEP STCM DATABASE A Retail Station B Residential C Fuel user/Non-retail D Bulk Storage Facility E Industrial Plant F Federal Government G State Government H Local Government I County Government J Collection Station K Bulk Chemical Storage L Chemical user M Agricultural N Indian Land O Special Cleanup Project P UST Residential (UST>1100 gals) Q Emergency Response Spill Site R Terminal/NonReg Tanks S Not Used T Bulk Product Terminal Facility V Marine/Coastal Fuel Storage W Waterfront Fuel Storage X Contamination Site Z Other Regulated Facility 1 Drycleaner 2 Wholesale supplier 3 Dry drop-off 4 Uniform-Linen service 5 Coin Laundry 6 Dryclean-related other FAC_TYPEString100 SITE_TYPE Site type FDEP STCM DATABASE SITE_TYPEString5000 FAC_STAT Facility status FDEP STCM DATABASE FAC_STATString2000 CONTAM_IND Contamination ID FDEP STCM DATABASE CONTAM_INDString300 ADDRESS1 Street address or physical location by direction. FDEP STCM DATABASE ADDRESS1String4000 CITY City the facility is located in. FDEP STCM DATABASE CITYString2800 ZIP5 Zip code of the facility. FDEP STCM DATABASE ZIP5Integer4100 ZIP4 Zip code of the facility plus 4 dig FDEP STCM DATABASE ZIP4SmallInteger250 PHONE Phone number FDEP STCM DATABASE PHONEString1000 OPERATOR Person who is operating the facility. FDEP STCM DATABASE OPERATORString3200 NEXTACTION Invoice + date FDEP STCM DATABASE NEXTACTIONString2000 FIN_RESPON Financial responsibility. FDEP STCM DATABASE FIN_RESPONString100 COUNTY Florida county code FDEP STCM DATABASE COUNTYSmallInteger250 OFFICE District office location FDEP STCM DATABASE CD Central District NED Northeast District NWD Northwest District SED Southeast District SD South District SWD Southwest District OFFICEString400 LAT_MM Latitude - Minutes location identifier FDEP STCM DATABASE LAT_MMSmallInteger250 LAT_SS Latitude - Seconds location identifier FDEP STCM DATABASE LAT_SSDouble8388 LONG_MM Longitude - Minutes location identifier FDEP STCM DATABASE LONG_MMSmallInteger250 LONG_SS Longitude - Seconds location identifier FDEP STCM DATABASE LONG_SSDouble8388 OOIC Object of interest code FDEP STCM DATABASE OOICString2500 REL_FEAT Relationship of point feature FDEP STCM DATABASE ADMIN Administrative, meaning the administrative building of the site/facility containing the object of interest. This code is like APPRX and VICIN, but adds additional information. ENTRA Entrance, meaning the entrance through which one must travel to get to the object of interest. This code is like APPRX and VICIN, but adds additional information. VICIN Vicinity, meaning within the vicinity of the object of interest (lower quality imagery with less visible features, map interpolation), greater than 50 meters away. APPRX Approximate, meaning the approximate location of the object of interest (nearby for GPS or decent quality imagery for visible features), say within 50 meters or less of the true object location. EXACT Exact, meaning the measurement was taken on the object of interest (meaning that only very large scale high quality imagery or GPS would yield EXACT point proximity). OFFST Undefined by Source CENTR Center, meaning the center of the site/facility containing the object of interest. This code is like APPRX and VICIN, but adds additional information. PROMF Prominent. A prominent object located within the Site or Facility. REL_FEATString500 ALB_EAST FDEP Albers projection (East) FDEP STCM DATABASE ALB_EASTDouble8388 ALB_NORTH FDEP Albers projection (North) FDEP STCM DATABASE ALB_NORTHDouble8388 DATUM Type of datum FDEP STCM DATABASE HPGN High Precision GIS Network / High Precision Geodetic Reference WGS84 World Geodetic Survey of 1984 NAD27 North American Datum of 1927 NAD83 North American Datum of 1983 DATUMString1000 COL_METH Collection method FDEP STCM DATABASE MMAP Manual Map Interpolation AGPS Autonomous GPS SATI Satellite Imagery With Ground Control UNKN Unknown Method CSUR Cadastral Survey DGPS Differentially Corrected GPS WGPS GPS with Wide-Area Augmentation Service Correction MPHO Manual Aerial Photography With Ground ZIP2 ZIP Code + 2 Segment Centroid DMAP Digital Map Interpolation ZIPC Zip Code Centroid DPHO Digital Aerial Photography With Ground Control CALC Calculated by GIS Software GGPS Geodetic Quality GPS ADDM Address Matching OTHR A Method Not Listed ZIP4 ZIP Code + 4 Segment Centroid LORN LORAN-C Navigational Device COL_METHString400 COL_NAME Collector name FDEP STCM DATABASE COL_NAMEString3000 COL_DATE Collection date FDEP STCM DATABASE COL_DATEDate800 COL_AFF Collector affiliation FDEP STCM DATABASE COL_AFFString6000 COL_PROG Collecting program FDEP STCM DATABASE COL_PROGString3000 MAP_SRC Map source scale FDEP STCM DATABASE MAP_SRCString3000 MAP_SCALE Map scale FDEP STCM DATABASE MAP_SCALEInteger4100 COORD_ACC Coordinate accuracy level FDEP STCM DATABASE COORD_ACCSmallInteger250 VER_METH Verification method FDEP STCM DATABASE VER_METHString400 VER_NAME Verifier name FDEP STCM DATABASE VER_NAMEString3000 VER_AFF Verifier affiliation FDEP STCM DATABASE VER_AFFString6000 VER_PROG Verification program FDEP STCM DATABASE VER_PROGString3000 VER_DATE Verification date FDEP STCM DATABASE VER_DATEDate800 ELEVATION ELEVATIONDouble8388 EL_DATUM EL_DATUMString3000 EL_RESOLUT EL_RESOLUTDouble8388 EL_UNITS EL_UNITSString1000 DOCUMENTS Link to site/facility documents in the agency's document management system FDEP STCM DATABASE DOCUMENTSString12800 EVENT_RANK Ranking of facilities in an emergency or natural disaster. FDEP STCM DATABASE 1 High priority such as Bulk, tank discharges and facilities close to waterways 2 Medium priority such as retail station which are within the natural disaster areas 3 Low priority such as retail station outside the natural disaster areas 99 Not ranked yet EVENT_RANKString200 EVENT_OWNER Undefined by Source FDEP STCM DATABASE EVENT_OWNERString5000 EVENT_CONTACT_PHONE Undefined by Source FDEP STCM DATABASE EVENT_CONTACT_PHONEString1000 EVENT_CONTACT_EMAIL Undefined by Source FDEP STCM DATABASE EVENT_CONTACT_EMAILString10000 LAT_DD_1 Latitude in decimal degrees. Esri LAT_DD_1Double8388 LONG_DD_1 Longitude in decimal degrees. Esri LONG_DD_1Double8388 LAT_DD Latitude in decimal degrees. GeoPlan LAT_DDSmallInteger250 LONG_DD Longitude in decimal degrees. GeoPlan LONG_DDSmallInteger250 MGRS Military Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth. http://mgrs-data.org/ GeoPlan MGRSString1500 GOOGLEMAP Webpage hyperlink to location in Google Maps. GeoPlan GOOGLEMAPString10000 DESCRIPT Field added by GeoPlan based on SITE_TYPE. GeoPlan DESCRIPTString3100 FGDLAQDATE The date GeoPlan acquired the data from the source. GeoPlan FGDLAQDATEDate800 AUTOIDAUTOIDInteger4100 ATTRIBUTE DESCRIPTION : LOC_ID ID for relating STCM facilities to their locations? FAC_ID Partially intelligent sequence. Originally, the first two digits of the sequence indicated the year the facility record was added (practice discontinued due to Y2K inconsistency) COUNTY Numeric code identifying the county which the facility operates in. For a complete list of the numeric codes, see the fields PK_COUNTY and NAME in the lookup table bis_lib.mt_county on FDEP 0 None 1-67 County names in alphabet order 99 All **** Florida County by Numbers and by Names **** 1 ALACHUA, 2 BAKER, 3 BAY, 4 BRADFORD, 5 BREVARD, 6 BROWARD, 7 CALHOUN, 8 CHARLOTTE, 9 CITRUS, 10 CLAY, 11 COLLIER, 12 COLUMBIA, 13 DADE, 14 DESOTO, 15 DIXIE, 16 DUVAL, 17 ESCAMBIA, 18 FLAGLER, 19 FRANKLIN, 20 GADSDEN, 21 GILCHRIST, 22 GLADES, 23 GULF, 24 HAMILTON, 25 HARDEE, 26 HENDRY, 27 HERNANDO, 28 HIGHLANDS, 29 HILLSBOROUGH, 30 HOLMES, 31 INDIAN RIVER, 32 JACKSON, 33 JEFFERSON, 34 LAFAYETTE, 35 LAKE, 36 LEE, 37 LEON, 38 LEVY, 39 LIBERTY, 40 MADISON, 41 MANATEE, 42 MARION, 43 MARTIN, 44 MONROE, 45 NASSAU, 46 OKALOOSA, 47 OKEECHOBEE, 48 ORANGE, 49 OSCEOLA, 50 PALM BEACH, 51 PASCO, 52 PINELLAS, 53 POLK, 54 PUTNAM, 55 ST. JOHNS, 56 ST. LUCIE, 57 SANTA ROSA, 58 SARASOTA, 59 SEMINOLE, 60 SUMTER, 61 SUWANNEE, 62 TAYLOR, 63 UNION, 64 VOLUSIA, 65 WAKULLA, 66 WALTON, 67 WASHINGTON OFFICE DEP District office responsible for the facility CD Central District NED Northeast District NWD Northwest District SD South District SED Southeast District SWD Southwest District FAC_STATUS ABANDONED CLOSED CLOSED-NSH CLOSED-SH OPEN OPEN-NSH OPEN-SH OPERATOR Owner of the account SITE_TYPE Agricultural Bulk Chemical/Inland Bulk Product/Coastal Bulk Product/Inland Bulk Product/Waterfront Chemical user Coin Laundry Collection station Condo Residential/UST > 1100 Contamination Site/Prior TK Location County Government Dry drop-off Dryclean-related other Drycleaner Emergency Response Spill Site Federal Government Fuel user/Non-retail Indian Land Industrial plant Local Government Marine Fueling/Coastal Other Regulated Facility Residential Retail Station State Government Terminal/NonReg Tanks Uniform-Linen service Waterfront Fueling Wholesale supplier DATUM Code Description Spheroid Old CAC CAPE CANAVERAL CLARKE 1866 66 HARN HIGH ACCURACY REFERENCE NETWORK GRS80 80 HGPN HIGH PRECISION GPS NETWORK GRS80 90 NAD27 NORTH AMERICAN DATUM OF 1927 CLARKE 1866 27 NAD83 NORTH AMERICAN DATUM OF 1983 GRS80 83 WGS84 WORLD GEODETIC SURVEY OF 1984 WGS84 84 ***** Collection Method Identifier **** ADDM - Address Matching / AGPS - Autonomous GPS / CALC - Calculated by GIS Software / CSUR - Cadastral Survey / DGPS - Differentially Corrected GPS / DMAP - Digital Map Interpolation / DPHO - Digital Aerial Photography With Ground Control / GGPS - Geodetic Quality GPS / LORN - LORAN-C Navigational Device / MMAP - Manual Map Interpolation / MPHO - Manual Aerial Photography With Ground / OTHR - A Method Not Listed / SATI - Satellite Imagery With Ground Control / WGPS - GPS with Wide-Area Augmentation Service Correction / UNKN - Unknown Method / ZIP2 - ZIP Code + 2 Segment Centroid / ZIP4 - ZIP Code + 4 Segment Centroid / ZIPC - Zip Code Centroid / ** Code, Method, Expanded, Description, Estimated Accuracy, Rank and Accuracy Level ** CSUR - Cadastral or Land Survey Measurement of boundaries, area, and/or elevations of land (or structures) on the earth's surface by means of measuring angles and distances with optical survey equipment, and using geometry and trigonometry to determine locations. In the general plan this includes a field-note record of the observations, measurements, legal description, and monuments descriptive of the work performed and a plat that represents the cadastral survey. Ref: (http://www.cadastral.com/73manlc1.htm#1-2.) / < 0.01 M / 1 / 1 GGPS - Geodetic Quality C/A Code and Carrier Phase GPS Measurement of position using both Coarse Acquisition (C/A) and Carrier phase of GPS signal to determine location to a higher level of Accuracy. / < 0.1 M / 2 / 2 DGPS - Differentially Corrected C/A Code Phase GPS Measurement of position using a single GPS receiver and a localized correction signal from a commercial or public community base station such as the US Coast Guard Beacons. This includes Real Time Kinematic (RTK) / 1-5 M / 3 / 3 WGPS - C/A Code Phase GPS with Wide-Area Augmentation Service Correction Measurement of position using a single GPS receiver in conjunction with a correction obtained from a model using regional base stations and transmitted by telecommunications satellites. / 3-7 M / 4 / 3 DPHO - Digital Aerial Photography Assignment of location coordinates by means of visually referencing the coordinates to a background consisting of digital aerial photography. No interpolation is attempted. / 5-10 M / 5 / 3 AGPS - Autonomous C/A Code Phase GPS Measurement of position using a single GPS receiver, with coordinates determined within the receiver in real time. Such positioning involves using the information broadcast by the GPS satellites alone. / 5-50 M / 6 / 4/5 DMAP - Digital Map Interpolation Assignment of location coordinates by means of visually interpolating geographic coordinates on a background consisting of digital maps; i.e., USGS 1:24,000 Quadrangle maps, with geographic reference points. / 5-100 M / 7 / 4-6 CALC - Calculated by GIS Software The calculation of the center of a polygon by GIS software using the supplied boundary of a shape. The accuracy of the calculated value is a determined by the precision of the supplied boundary shape. For example, a County center calculated from the US Bureau of the Census TIGER/Line file based on 1:100,000 scale maps would not be as accurate as a center calculated from a survey-grade small parcel shape. / 20-150 M / 7 / 5 LORN - LORAN-C Navigational Device Long Range Aid to Navigation (LORAN) - Measurement of position using a long distance radio navigation land station transmitting synchronized pulses. Hyperbolic lines of position are determined by the measurement of the difference in the time of arrival of these pulses. Three or more stations are needed to remove ambiguities in the position of the receiver. / 50-150 M / 8 / 6 ADDM - Address Matching / Precision Mapping Automatic or semi-automatic operations to estimate location coordinates by geo-referencing locations with digital cartographic street reference data. Census data, such as the Bureau of Census's TIGER, containing street names, address ranges and latitude/longitude of the street network, are used to interpolate point locations, usually within the block range. Ref: http://www.hanford.gov/dqo/project/level5/ldpigscm.pdf / 50-150 M / 9 / 6 MPHO - Manual Aerial Photography With Ground Control Direct measurement of locations from existing printed aerial photography using various methods (i.e., bar scale, engineer's scale or electronic ruler, electronic digitizer). Such aerial photography must have been orthorectified / 50-150 M / 10 / 6 MMAP Manual Map Interpolation Direct measurement of locations from existing paper maps, using various methods (i.e., bar scale, engineer's scale or electronic ruler, electronic digitizer). Ref: http://www.hanford.gov/dqo/project/level5/ldpigscm.pdf / > 150 M /11 / 6 SATI - Satellite Imagery Assignment of location coordinates by means of visually interpolating geographic coordinates on a background consisting of digital or satellite imagery. / > 150 M / 12 / 6 ZIP2 - ZIP Code + 2 Segment Centroid Automated method for the assignment of location coordinates to the centroid of the ZIP+2 street segment that contains the feature address. / < 1 Km / 13 / 6 ZIP4 - ZIP Code +4 Segment Centroid Automated method for the assignment of location coordinates to the centroid of the ZIP+4 street segment that contains the feature address. / < 0.5 Km4 / 14 / 6 ZIPC - ZIP Code Centroid Automated method for the assignment of location coordinates to the centroid of a polygon representing the zip-code area and containing the feature. / < 2 Km4 / 15 / 6 OTHR A Method Not Listed Assignment of location coordinates using a method excluded from this group of collection methods. / n/a / 99 / 6 UNKN - Unknown Method Method of assignment of location coordinates is unknown. / n/a / 99 / 6 FAC_TYPE A Retail Station B Residential (no UST >1100 gallons) C Fuel user/Non-retail D Bulk Product Facility/Inland E Industrial plant F Federal Government G State Government H Local Government I County Government J Collection station K Bulk Chemical Storage/Inland L Chemical user M Agricultural N Indian Land O not used P "CONDO" Residence (UST>1100) Q Bureau Emergency Response/Spill Site R Terminal/Bunkering/NonReg Tanks S Bulk Product Facility/Waterfront T Bulk Product Facility/Coastal V Marine Fueling Facility/Coastal W Waterfront Fueling Facility X Contamination Site/Prior TK Location Z Other Regulated Facility 1 Drycleaner 2 Wholesale supplier 3 Dry drop-off 4 Uniform-Linen service 5 Coin Laundry 6 Dryclean-related other CONTAM_IND ? NEXTACTION INVOICE + date PLACARD + date PLACARD DUE FIN_RESPON ? LAT_DD 23 < LAT_DD < 31 LAT_MM 0 < LAT_MM < 59 LAT_SS 0.0000 < LAT_SS < 59.9999 LONG_DD 79 < LONG_DD < 87 LONG_MM 0 < LONG_MM < 59 LONG_SS 0.0000 < LONG_SS < 59.9999 OOIC Object of Interest Code REL_FEAT Relationship of Point to Feature EXACT Exact Object of Interest Location APPRX Approximate Object of Interest Location VICIN Vicinity of Object of Interest Location OFFST Offset to Exact Object of Interest Location ENTRA Entrance to Site or Facility containing Object of Interest Location CENTR Center of Site or Facility containing Object of Interest Location ADMIN Administrative Center of Site or Facility containing Object of Interest Location COL_DATE Collection Date ALB_EAST Easting (FDEP Albers Projection X), where 0.00 < ALB_EAST < 900,000.00 ALB_NORTH Northing (FDEP Albers Projection Y), where 0.00 <ALB_NORTH < 800,000.00 COL_NAME Collector Name COL_AFF Collector Affiliation COL_PROG Collecting Program MAP_SRC Map Source MAP_SCALE Map Source Scale COORD_ACC Coordinate Accuracy Level 1 +/-0.01 meter 2 0.02 to 1.0 meter 3 1.1 meter to 10 meters 4 10 meters to 20 meters 5 20 meters to 50 meters 6 > 50 meters VER_METH Verification Method ADDM Address Matching AGPS Autonomous GPS CSUR Cadastral Survey DGPS Differentially Corrected GPS DMAP Digital Map Interpolation DPHO Digital Aerial Photography With Ground Control GGPS Geodetic Quality GPS LORN LORAN-C Navigational Device MMAP Manual Map Interpolation MPHO Manual Aerial Photography With Ground Control OTHR A Method Not Listed SATI Satellite Imagery With Ground Control WGPS GPS with Wide-Area Augmentation Service Correction UNKN Unknown Method ZIPC Zip Code Centroid VER_NAME Verifier Name VER_AFF Verifier Affiliation VER_PROG Verifying Program VER_DATE Verification Date ELEVATION EL_DATUM Elevation Datum EL_RESOLUT Elevation Resolution EL_UNITS Elevation Units STATUS Used as a flag for locational data cleanup applications NEEDS GPS NOT REVIEWED REVIEWED SHAPE Column used by ArcSDE which does not show up as a field in ArcView Florida Geographic Data Library (FGDL) mailing
431 Architecture PO Box 115706
Gainesville FL 32611-5706 US None Web site: http://www.fgdl.org DOWNLOADABLE DATA The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. 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 https://www.fgdl.org/ DOWNLOADABLE DATA 20230120 2009-09-22 20100922 Florida Department of Environmental Protection (FDEP) OTIS/GIS Section mailing and physical
MS 6520
2600 Blair Stone Rd
Tallahassee FL 32399-2400 US (850) 245-8758 GIS.Librarian@dep.state.fl.us FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time Florida Department of Environmental Protection (FDEP) OTIS/GIS Section (850) 245-8758 MS 6520 2600 Blair Stone Rd Tallahassee FL 32399-2400 US GIS.Librarian@dep.state.fl.us 20230120 ArcGIS Metadata 1.0 Storage Tank Contamination Monitoring (STCM) - January 20231999-06-30Florida Department of Environmental ProtectionFlorida Department of Environmental ProtectionTallahassee, FLvector digital dataState of FloridaRegulated Facilities from STCM (Storage Tank Contamination Monitoring).This coverage includes facilities with registered above-ground or underground storage tanks. This dataset contains both currently and previously regulated facilities. It also contains facilities registered with DEP for the purpose of tracking on-site petroleum contamination.The Petroleum Program regulates (permitting, compliance, enforcement) the design, construction, operation and maintenance of Petroleum Facilities Storage Tanks.Data was Swapp staff and Field InspectorsRoberta DuskyFlorida Department of Environmental Protection, Division of Waste Management, Petroleum Cleanup ProgramEnvironmental Specialist III850-245-87992600 Blair Stone Rd MS 4575TallahasseeFlorida32399-2400USroberta.dusky@dep.state.fl.us9:00 to 18:00Please, email is preferred. Include your name, organization, question or description of data requested, date data is needed, and brief description of how the data will be used. STCM_Support@dep.state.fl.usFloridaenvironmentISO 19115 Topic CategoryenvironmentContaminationSTCMenvironmentStorage TanksEnvironmental Monitoring and ModelingenvironmentenvironmentContaminationSTCMenvironmentStorage TanksEnvironmental Monitoring and ModelingFloridaBecause a variety of sources and methods were used to derive information for this data, the quality of the locations may vary accordingly. See the column COL_METH for determination method. The data is undergoing review to improve accuracy. This data is intended to be used for general locational representation and should not be considered appropriate for legal and/or cadastral purposes. The locational data point of each is provided by the responsible party and reviewed by the Florida Department of Environmental Protection (FDEP) agency staff. FDEP makes no representations of any kind, including, but not limited to, the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the digital data layers furnished hereunder. FDEP assumes no responsibility to maintain them in any manner or form. By using data provided herein, the user acknowledges that terms and conditions have been read and that the user is bound by these criteria.The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. 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.htmlContact the program areaNoneStorage Tank and Petroleum/Cleanup Monitoring: https://floridadep.gov/waste/permitting-compliance-assistance/content/storage-tank-and-petroleum-contaminationcleanup Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362true-87.578568-79.87372931.03862324.508608ground condition2000-11-202023-01-021-87.578568-79.87372931.03862324.508608 2010-09-22 Inception of scripted refresh process. Information is pulled from regulatory database daily. Carol Carnley/Farid Moghadam Florida Department of Environmental Protection 850/245-8854 Pull scripts modified to reflect table, view and column name changes due to migration of databases to agency web-compliant naming standards. Pull scripts modified to allow greater precision during location calculations and to assume NULL values as NAD83. Pull scripts modified to integrate STCM into SWAP WebPoint data cleanup. The Metadata for this layer was updated on 9/17/2009 and by Chris Williams FDEP DWM GIS Coordinator 2009-10-17 Chris Williams FDEP DWM GIS Coordinator 850-245-8758 850-245-8811 2600 Blairstone Road Tallahassee Florida 32399-2400 US Christopher.A.Williams@dep.state.fl.us 8:00 to 18:00 Please, email it is preferred. Include your name, organization, date data is needed, and brief description of what the data will be used for Metadata and symbology updated for DataCatalog/DataMiner. 2009-11-25 New field DOCUMENTS added as per a request from Division of Waste Management. Metadata updated. 2016-12-16 withheld New fields added EVENT_RANK, EVENT_OWNER, EVENT_CONTACT_PHONE, EVENT_CONTACT_EMAIL as per a request from DWM 2019-06-20 withheld This dataset was downloaded by the GeoPlan Center on 1/2/2023 from the FDEP website (http://geodata.dep.state.fl.us/). The data was received as a geodatabase and was in the following projection: NAD_1983_2011_Florida_GDL_Albers. The dataset was projected to NAD_1983_HARN_Florida_GDL_Albers using the NAD_1983_HARN_To_NAD_1983_2011 transformation. This dataset is updated daily. Contact the FDEP for the most recent data. The dataset has a number of points located outside the boundaries of Florida and in bodies of water. As these points are reviewed they should be corrected by FDEP over time. Prior to 10/16/2017 this layer was considered sensitive and two layers were maintained for ETDM purposes, stcm and stcm_pub. Stcm_pub will be deprecated and stcm will become public. - Added the field DESCRIPT based on SITE_TYPE. - Added fields LAT_DD_1, LONG_DD_1, MGRS, and GOOGLEMAP. LAT_DD_1 and LONG_DD_1 were calculated using the calculate geometry command and selecting decimal degrees as the units. MGRS was calculated using the Convert Coordinate Notation tool and selecting Output coordinate Format as MGRS. The GOOGLEMAP field was calculated by concatenating: "https://www.google.com/maps/place/" & [MGRS]. - Added the field FGDLAQDATE based on date downloaded from source. - Upcased all text in the attribute table except for DOCUMENTS field. - Data set was renamed stcm_jan23 from STCM_SP Field notes (July 2019): Fields added: EVENT_RANK EVENT_OWNE EVENT_CONT EVENT_CO_1 2023-01-02 GeoPlan withheld Spatial and Attribute Information Layer was created in ArcGIS 9.3.1Layer has not been completed This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology. This data is provided 'as is' by GeoPlan and is complete to our knowledge. GeoPlan relied on the integrity of the attribute information within the original data. This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan. This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan. 0 70495 1.0 STCM_JAN2300258447.000600793864.46460062560.665100781137.0004001ArcSDE ConnectionProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_Albers<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/10.8'><WKT>PROJCS[&quot;NAD_1983_HARN_Florida_GDL_Albers&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;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.0],PARAMETER[&quot;Standard_Parallel_1&quot;,24.0],PARAMETER[&quot;Standard_Parallel_2&quot;,31.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>FeatureClassToFeatureClass Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23 "Database Connections\poke_etat.sde\aaa\" STCM_JAN23 # "LOC_ID "LOC_ID" true true false 4 Long 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,LOC_ID,-1,-1;FAC_ID "FAC_ID" true true false 4 Long 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,FAC_ID,-1,-1;STATUS "STATUS" true true false 12 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,STATUS,-1,-1;CONTAM "CONTAM" true true false 3 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,CONTAM,-1,-1;NAME "NAME" true true false 50 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,NAME,-1,-1;FAC_TYPE "FAC_TYPE" true true false 1 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,FAC_TYPE,-1,-1;SITE_TYPE "SITE_TYPE" true true false 50 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,SITE_TYPE,-1,-1;FAC_STAT "FAC_STAT" true true false 20 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,FAC_STAT,-1,-1;CONTAM_IND "CONTAM_IND" true true false 3 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,CONTAM_IND,-1,-1;ADDRESS1 "ADDRESS1" true true false 40 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,ADDRESS1,-1,-1;CITY "CITY" true true false 28 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,CITY,-1,-1;ZIP5 "ZIP5" true true false 4 Long 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,ZIP5,-1,-1;ZIP4 "ZIP4" true true false 2 Short 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,ZIP4,-1,-1;PHONE "PHONE" true true false 10 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,PHONE,-1,-1;OPERATOR "OPERATOR" true true false 32 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,OPERATOR,-1,-1;NEXTACTION "NEXTACTION" true true false 20 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,NEXTACTION,-1,-1;FIN_RESPON "FIN_RESPON" true true false 1 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,FIN_RESPON,-1,-1;COUNTY "COUNTY" true true false 2 Short 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,COUNTY,-1,-1;OFFICE "OFFICE" true true false 4 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,OFFICE,-1,-1;LAT_DD "LAT_DD" true true false 2 Short 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,LAT_DD,-1,-1;LAT_MM "LAT_MM" true true false 2 Short 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,LAT_MM,-1,-1;LAT_SS "LAT_SS" true true false 4 Float 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,LAT_SS,-1,-1;LONG_DD "LONG_DD" true true false 2 Short 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,LONG_DD,-1,-1;LONG_MM "LONG_MM" true true false 2 Short 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,LONG_MM,-1,-1;LONG_SS "LONG_SS" true true false 4 Float 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,LONG_SS,-1,-1;OOIC "OOIC" true true false 25 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,OOIC,-1,-1;REL_FEAT "REL_FEAT" true true false 5 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,REL_FEAT,-1,-1;ALB_EAST "ALB_EAST" true true false 8 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,ALB_EAST,-1,-1;ALB_NORTH "ALB_NORTH" true true false 8 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,ALB_NORTH,-1,-1;DATUM "DATUM" true true false 10 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,DATUM,-1,-1;COL_METH "COL_METH" true true false 4 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,COL_METH,-1,-1;COL_NAME "COL_NAME" true true false 30 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,COL_NAME,-1,-1;COL_DATE "COL_DATE" true true false 8 Date 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,COL_DATE,-1,-1;COL_AFF "COL_AFF" true true false 60 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,COL_AFF,-1,-1;COL_PROG "COL_PROG" true true false 30 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,COL_PROG,-1,-1;MAP_SRC "MAP_SRC" true true false 30 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,MAP_SRC,-1,-1;MAP_SCALE "MAP_SCALE" true true false 4 Long 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,MAP_SCALE,-1,-1;COORD_ACC "COORD_ACC" true true false 2 Short 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,COORD_ACC,-1,-1;VER_METH "VER_METH" true true false 4 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,VER_METH,-1,-1;VER_NAME "VER_NAME" true true false 30 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,VER_NAME,-1,-1;VER_AFF "VER_AFF" true true false 60 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,VER_AFF,-1,-1;VER_PROG "VER_PROG" true true false 30 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,VER_PROG,-1,-1;VER_DATE "VER_DATE" true true false 8 Date 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,VER_DATE,-1,-1;ELEVATION "ELEVATION" true true false 8 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,ELEVATION,-1,-1;EL_DATUM "EL_DATUM" true true false 30 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,EL_DATUM,-1,-1;EL_RESOLUT "EL_RESOLUT" true true false 8 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,EL_RESOLUT,-1,-1;EL_UNITS "EL_UNITS" true true false 10 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,EL_UNITS,-1,-1;DOCUMENTS "DOCUMENTS" true true false 128 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,DOCUMENTS,-1,-1;EVENT_RANK "EVENT_RANK" true true false 2 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,EVENT_RANK,-1,-1;EVENT_OWNER "EVENT_OWNER" true true false 50 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,EVENT_OWNER,-1,-1;EVENT_CONTACT_PHONE "EVENT_CONTACT_PHONE" true true false 10 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,EVENT_CONTACT_PHONE,-1,-1;EVENT_CONTACT_EMAIL "EVENT_CONTACT_EMAIL" true true false 100 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,EVENT_CONTACT_EMAIL,-1,-1;SE_ANNO_CAD_DATA "SE_ANNO_CAD_DATA" true true false 0 Blob 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,SE_ANNO_CAD_DATA,-1,-1;LAT_DD_1 "LAT_DD_1" true true false 8 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,LAT_DD_1,-1,-1;LONG_DD_1 "LONG_DD_1" true true false 8 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,LONG_DD_1,-1,-1;MGRS "MGRS" true true false 15 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,MGRS,-1,-1;GOOGLEMAP "GOOGLEMAP" true true false 100 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,GOOGLEMAP,-1,-1;DESCRIPT "DESCRIPT" true true false 31 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,DESCRIPT,-1,-1;FGDLAQDATE "FGDLAQDATE" true true false 8 Date 0 0 ,First,#,Q:\finaldata\state\pre_load\fdep_temp\stcm_jan23.gdb\stcm_jan23,FGDLAQDATE,-1,-1" #AddField "Database Connections\poke_etat.sde\aaa\\STCM_JAN23" AUTOID LONG # # # # NULLABLE NON_REQUIRED #CalculateField "Database Connections\poke_etat.sde\aaa\\STCM_JAN23" AUTOID !OBJECTID! PYTHON_9.3 #AddIndex "Database Connections\poke_etat.sde\aaa\\STCM_JAN23" AUTOID A20230210161132 NON_UNIQUE NON_ASCENDINGAddIndex "Database Connections\poke_etat.sde\aaa\\STCM_JAN23" DESCRIPT D20230210161132 NON_UNIQUE NON_ASCENDINGAddIndex "Database Connections\poke_etat.sde\aaa\\STCM_JAN23" NAME N20230210161132 NON_UNIQUE NON_ASCENDINGAddIndex "Database Connections\poke_etat.sde\aaa\\STCM_JAN23" GOOGLEMAP AF20230210161134 NON_UNIQUE NON_ASCENDINGAddIndex "Database Connections\poke_etat.sde\aaa\\STCM_JAN23" FAC_STAT AF20230210161137 NON_UNIQUE NON_ASCENDINGAddIndex "Database Connections\poke_etat.sde\aaa\\STCM_JAN23" FAC_ID AF20230210161140 NON_UNIQUE NON_ASCENDINGAnalyze "Database Connections\poke_etat.sde\aaa\\STCM_JAN23" BUSINESS20230210170835002023021017083500 /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2+gAo Aovc3qMQLQMM9Q3agBRd3AJ3WjgZ6g0AWon8yNXKlc9jQA7+I0ALQAlAC0AFABQAUAFABQAdqACg BHUOhVuhGDQBT/su2ySAwOc9e9AFxVCqFHQUALQAUAFABQAUAIeOaAKV3cYUoM800BnUwCgAoAKA CgAoAKACgAoAKACgAoA3uakAz7UALQAUAFACfxUAKelAEN1dQWVs9xcyCOJBlmPQUm0ldgY6+NPD rqGGqw4LbRkEc/lUqpB7MLl+x1rTtSkkSzu45mj5YL2pqSewEkeqWErsiXkBZTgjeOKaknswGx6v p0s7Qx3kLSKNxAfoPrRzLuBOLy2ZiouIiw7Bxmi6AqTTWkruw1CNCBhgsg4/Wi6AiS9sbZ08zVY2 yo2q0g5HrRzLuBqI6yIHRgykZBByDTAdQAUAFABQAUAFABQAUAIxwpIoAybmYyNt7A0wK9MAoAKA CgAoAKACgAoAKACgAoAKAN+pATvQAtABQAUARyyCJGkIJCjOBQBVbVbZcZLDPqpoAi1uzGraBdWy Dd50fyjpmpnHmi0B8+3ugyxNNZzDy7iEZ2s2Pbv1/rXncjjdW1IF0C9uNMuZVivzbg483bzgDnHH rUxk4vsgH3t//pslwIpNkhwropBb1xjjJqm05adeoFu51kWt49xpNoLe2MPk/vRndnrnPeqnPll7 q0AzL26ZZhNbXN4WnjBL4K4PoKiV1qgM5r24aYsGlUyfeJY/MajpuIcbh3dWeXOVK88nAPOKTVwP Y/hx4rtpNBNpqF6kb27bY/NO0lOveu+hUvG0mWmd2mp2LwCZbyAxH+PzBj866LoY9by1c4S5hb6O DRdATKysAVIIPcGmBVmlvFkIjgV17HNACxy3RkQSQBUP3ju6UAWqACgDD17xRZ+H57WK5VibkkKQ QACMdfTrUTmo2TC5X03xtpGoSPBJMttMgJZZSAMD0PQ1MKsZadRXHpe2uoZntJUlhJIDIcitkMdT AKACgAoAKACgAoAKACgAoAKACgDW+2xebsz+NTYCwemRQBHPOlvHvfOM4oAoXOt28SnyjvcHGMUA S2upx3K7thQYzlqALTTRBgCw5FAFK6KG7jBC7R3xTA0CQE3AZAGRikB4B44kk1DxTdXUUyuhIRTn aY2HBBFcVdSctGSyHQIbHS72HUdWQSwrkNEnr2J9ee1RTgo+9IA1PWrO31LMEKXVv96IlWUI2f7o wfT2pOVnpqAyW4SbSZLlVt4Ukfb5Jb5hnq2GNPTl5l9wi6+ky3TWNpuuljniWRXkQKqkD1x05odN ydnfUdhmneGreXSb/VLudPIts7I0cbyc46dRUwo+65SYrFTXtGgsNO0ye1TJuUMjzMhXbz0FTOKj BAULmySdovsLmQvHg545HJPP+cUrJ2UQGW1tqzRlVeTygMFVPyg+uPWnyycfd2AkgXVbZggmn3Hv uPBp8st0BoQ6zr+nI7R3lz5BG0fNubI7EdqfNOPUCqfFuuG781tRuGZm2nsAR7elS6s31C5qWfxB 1/S7hHkvUuVJG5GI55/wrRVZp3voO7O9tvidDfzww2tm5Y4WUtwAx4GD9a3WIvayHc6vUdWk07SE upogs7kKqE5UMemT6VtKTUbjOZ8fW9vqOkRytf2sUyof3bsuGJ9+tZVo80dxM8Z+1Gd0W4fESnGV 5bb7f/XrjW9pEnrXgEWkWhPbWtwLgRStmQDG7J4OK9CjblsikdVWwwoAKACgAoAKACgAoAKACgAo AKAJjazBsbaVwJw0lrwZAePumgCKeaWSNQ4AU9KAK2xc52j8qYCjgYFABkmgBc85PNAD5ZnltXt8 lVYYyvUUmrgcxH4H0QBvOga4ZmLFpW5yfpis1RgugrGrDo+nwWoto7SIRA5CkZ/nVqKSskMlfTrK RdrWsJHT7gp2QGTf+DNE1CEo1oIyf44zgiodKD3QWOR1nwzq+kzw3EMj39hDxsOd6j3xXPOi46rV Cscvpcq33iHy9QuzbwySlpY1HPB+7j0rnVnJ82iJO6nuIfEXiOTTNO3C3jgCxRyLgbgvvWz9+Vlt Ye50Gg+E7GfQYlu7WWO5gEiPgYLE55HHPXitYU0467jsUvGUFnpPgLbZQPbO5C+WR87c4570qlo0 9NAexzvgLRzeQ3f9o20xtQu/zR1+g9elZUIuV+ZaCRYufD2nalaT6npgmtbK3Q+cJDk5HbH50Sox lqtgsS7PC1z8OpL+K3kEkeFdl+/v6c+3Wr5Kfs9EGljy2SOF12FQFBJ+bt2FcXM73RJoafqUmjXC TwIsoGwvEQWDAEHAx3p052euw0ekXviTW/FGh3T2dtawWCAB/MfLKMcn2rqc51Ivl2HucJqUd5ZN Gkl9BfAxebkvlQD7g+1ZtNSs2IzvtxZlzHGxYZJRcj6D1rJ1GFz0D4Z3M07XwaLbEpABC7QD6V3Y d3T1KR6HXSMKACgAoAKACgAoAKACgAoAKACgDeIBqQIp4Y3TLjp3FAFO7kjaNQvOOBTQFKmAUAFA BQAUAFABQAUAFAARkYNAHLeIvCkF4Rf2Wy3vYm37wv3uKwqUr6x0YmjmtHhurrbdaVbzNqNrMftd yTgtluVA7jBrmgpacu/UR6RZa3pemQXFmtw8t1BGZ5Iy25uRuIB/GupSS0KOA1231jxvKl6LFre3 ChFVn5IyecYrCcJ1dbEu7O80+0SxsIraMAKqgHFdcYqKsijP1zR0u/D81hBIbeMsZW2j7x7g1nUp JxshNGHpcEOneFJHsLA3GnXkQMolbISQEADp05NYxsoaLQRi678O103wvNq9zPtnUrJ5MfAwe34Z /SonR5YcwWOEe3khg87BMcgBAbqcHPB9K5k9NRFpLyS/8u1J2AADapwWFUnLTqA2JhLMYZ7oojsA 0fb/AOtUqVkBp+JtEs9LubZ9NulnhlTAbPU91PrVzjFfDqgE8E6pLpuvwIpbY8hSSM9l7f0q6M7V F5gtz3CvSLCgAoAKACgAoAKACgAoAKACgAoA1pZ3gfLYMZ/MVIDHmW4gwrbW9KYGcyspINMBtABQ AUAFABQAUAFABQAUAFAEF5bJeWkttISFkXaSKTV1ZgYej+ELXSTcAXEkqzRlCCMYz1NYwoKPUViT SPCtrouoG5t3ZgU24fkg+1VGkoyuFjf6VqMKAAjIwaAKV/ZtcWkUK3SWtpC3mSLsyGA5xWc43XkB xni+XV9ciuryBmfQ1AEakbQOOTjvzXJWcpq8diWcNZW76iFhkjTbBGx8xjtAXBOB1rCHvK3YRWjs rFg22NnQNteR26Gq5l6AaEtgkttcXFrCpW2wpkz8oz6flScYtMCnd6bf2F/DDegxo4BAJ6Z60pQs lFgXbm2t7FLSW0vUlmDeYx2YI9s+lXaMYppgeuaNqv8AaemwTxoWyoDNnuODXowkpK6LNWqAKACg AoAKACgAoAKACgAoAKALN1Msqx4OWxzSAgDlQQDTAtRTiRFiYZbP3jSAiuY1jlIUjHpQBBTAKACg AoAKACgAoAKACgAoAKACgAoAKACgCOeFLiB4ZBlHGCKTV1YDm/EVnG1osGpXjx6TGFSK3gGXc4xz +Nc1WCS12Ezmb/RU06wu9Nitz5F1EJ47krtddvOGPbpjGaxcOVOHfURwU4uEibdI5ix9yNsZI9a5 4tWshE9neS2sjW4mkVZQNyqcBsf/AK6E3ysR2mqaPPc6VbazqmpG5tZPljKMSY8jOMH6V0TT5U5v QowfD0lg00ltqCIInibLbMk9xj0PFZ0+W9hI6L4c61HFdy6YWxFIS0IIxz1P9a2ws9XBjTPTK7ig oAKACgAoAKACgAoAKACgAoAKACgBQxUHHfvQAEknJoASgAoAKACgAoAKACgAoAKACgAoAKACgCGJ bgTymSRWjP8Aq1A5H1pK99QJqYBQBVu9Ptr14XuI95hbenPQ1Lina4HPePNT1Gw0qP7OsL2rHbMJ EB+nJ6c1jiJOMbpXEzyO0jjup3DzpGsucM4JA9AB6ZrgT1s9CSFraW0kaN2UPvH7wHd19MdKJpID oI/GTw6NZaadPR0tZPNV3Od3bGK0VT3VF9B3M7xBqVxqWrRXYjighKbkWFQijGOCB1pyn1tqBNY2 c5gfXrWRwYJgGCkjaepOPTtUpyXvroI9s0u7N/pdtdFSDIgJB9a9KLukyy5VAFABQAUAFABQAUAF ABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAENy8yRgwRCR8jgnHFJ3toBNTAKACgAoAKACgAoAz de0u21bR57a6cIm0sHJwARyM1nUgpRswZ4RKlpAzRHcXVyqkHgAf/XzXlO+qIHNIsoZ4z8+35tuC M/40pWuIhgifeysDjkKGHU/40/i2GPjhuGiZcOxOBlk4Ue1OSd1oBv6XrMdn4X1TSJoiJbna0WBj oQST+RraEkouPVjR0/hjxlBaWNnaXUbhZMKrk8jnHI7CtqdZRtF9QTPQwQygjkHkV2FC0AFABQAU AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBwvxM1s6fpUVknL 3BJODzgc/rjFc+JfuWQmeWTllmBmAQBdxJ4PrXnctlbqSdN4Kt9Ln/tJNRuBCXhPlsF4wev41tT5 Xe7toCOZMSi/aWGZmEZPfgehH+e9YuXLoBYF/OkagO5G3JBHOfX6Uc0n1A6bTNLuptCN6qRz3EjH Y+MgDO0qfTk1sou3NYDDtdPeDxRbaddho5BOqy7T8o3Y4B+hpKHv8sgtqe8xoI41ReigAV6hY6gA oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAPF/HN2b/x TdqjZEIWFcnvwePzrz8S7zUUS9znfstx5TByXOME7M4Fc7vfYRajtQck3Co6HGQcHHbNXGyWjsBU vbeNY3VZ0d8cBD1PejlW9wL+jaPFrVuLaB83Kkny2ONyjtn1pxjd+YHZ6RpN9aWdxaT3X2WCWNXS 1PLMRg4x+tbQhLZ7MZgapcTPq63EtmC6lWRy20krgcj8KUm7p2A9X0mcXlnFcLM7Ar8yk9Diu5O6 uUaNMAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAEyM4yM+lAC0AFABQA UAMkLgDYATQB5L4r8PPZaz5/nMHuW3phd2DXFVp+/wA19yWjEcQwXJiGsvLtADKVx83XPWoqtLZg zPaN1lfDiUD7ufX2FcsmrkjMt5fy/KMZQY6fWlpfUDf8JWIudRgWK78i+Z8R4TII2k5Pp9a3opN6 bjRp6oNUfVTeIWuNQtTtkuYc/dXjn1PvVTc279UM568/0pJbt7hS7Mchz83u1Y76tiOu+GuryR3c 2kzHKSDzYcdOnP8AKuzCzunEaPTK7CgoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAK ACgAoAKAIWto3uUuCD5iAgHPalZXuBNTAKACgAoAKAOL8f293DbRanZglolMb8Z2qeMj35rnrpr3 49BM8nWBgzFnL85JPXn39a81zuQTb4N+8qQTwM89O9LVaAVmjZrgRgA7hgZGTkf1qltcC5ZalPos 58p2E2zYPoeuKpcyd46DOrl8a3EPhmHTI4GtpmGGnUY8xcdP6Vq60uRRW47nFuJpI3YqHUnqOorF CNDQbt9K1m0uvmXypQrvjgocZH5VpRk4zv0BHu8NxFPGjxuGDDIwa9MslpgFABQAUAFABQAUAFAB QAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFADJYknheKRQyOCpB7g0AeJ6to8Oje Knivnb7D5gK7fvFCeT715tWnGNRR6MhrUqa3NpU97PPpkc0KlBthc5wefwFRU5HqgZRsCjXnmSOV jPCuMZ+ozzWei0YjXv7U3+oQR2atkIsYeSMLwSADwK0bUrRWwy7d6BdRXi6TqPnNcIpW1ETKwPpn noferdO0uSW47Bq3ha+8N2EF0zKUlx5qjny2/lVVKUqcL3BqxziXV00Z2qX2ne2F6DPftjArC8ns I9W+H2qx6noxRh/pFuxU5HY9P616NCfNDzKR2NbDCgAoAKACgAoAXafQ0AJQAUAFABQAUAFABQAU AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAcl4+0H+1tIFym0SWmXOR95ccjNY14c0GJnnusaNB p+h6dcRXIM1xkSIpBK9ME/TmuKVOKgn1JsTQSeGZNTtsrci18siVpMDa/oOKLU3Ky2DQt6v4ztbv RbTTtPsngmQqDMANzBRxn2qpVFKPKlsO4uieMRZahLeahaLdTSgL5mcsmOPp0FFKs1JuSuCZpeNP Flnqei2kdiVmSd1ZjnldrcjH4VtiKq5LIGznb3W7TVbZI1t1spY4iheEcSqM9evvXPzqSSegGp8P w+nazKiyO3mxncrKQOOn866KGkmkNHqsRlKnzQoPbFdYySgBQCelADoozLIEHU0ATGylB5wPfNK4 DGgCqSZFyOwNAEQYjuaYEpELYOSPUUAQ0AFABQAUAFABQAUAFABQAUAFADdx/umgBQcjJGKAFoAK ACgAoAKACgAoAKACgBk0STwvFIMo6lSPUUtwPFvEaxQ6lPatasux8KGJxz0xXn1GotpIlmItxbyZ lFqGYMchs5z9Kz57dBGporW19rWnRXwRLfiORwNq7cevbpRCXNNKQGnrSaLZT30OkyyEEhFxhlYd +cetOfLG/KBmRaDNGPtE1rcpagANIq8IxGRnjpkipUNdVoBtaH4ds9Q8N6vdXLrE9uCbedTgEgZx W1GknF3GkN8ASPceKPml3xJE+7kEE8VWFcnJ3BHrQIPQ13FC0AIwJXCsVPqKAGp50ZJE7ZPfikBJ ufADOzH1JpgJQAUAFABQAUAFABQAUAFABQAUAFABQBDBdRXPmCMk+W21vrSTT2AfsI/iNMBwGB1z QAtABQBC1zGl0luSfMcFgPaldXsBNTAKACgAoAKACgAoAhktLeWQSSQozjoSKVkB4l4lsv7P1/UY YY9oMrFDjHDHoPyrza65atokPcq6Z4dnurlSomUeYAT5eSoP41MVzAes6d4Y+06KNJumuTMrmSO6 aDaFwcDjPpXUqd48pViSDS459EurHVLS+LLhHkxjzAH4I/SnGKs1JMDjtdvrfRLW78PhXIR1ddy/ wms5TVNcgth/ggQ32rXnkcPHEuQRxzmrwzvdoaPSLeEQx4ONx+8RXWMmoAKACgAoAKACgBQpNACU AFABQAUAFABQAUAFABQAUAGAOlABQAUAFABQAYGc0AFABQAUAFABQAUAFABQBwfjjwxc6rqVnNY2 iNuBW4kA56jGf1rnr0nO1hNFy5n1XQLew02OCO5jEq+V5RKswAP3uOtZy5qaSFsdhqesvHYCKS3u 4JpoCxeJA3lHH1FbSnbSwxNA1yxm0WFpNQ8x0GHab5WznuOaITi43uCPGvHdy+o+NL77Pho8KqMp 4P8A9euKt789OhLN74Yo0V1qO+PaCkYVj3wWrfCJpO44npFdhQUAFABQAUAFACkYOKAEoAKACgAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAAY3qxUEqcjI6UAa/lx3dmY3y UdcMM1LV9AMC98MaZA01z9ltvJWAjy3QfMw5Bz+VYulG97CseDSSGbXZobdlh86Xy1UMcIfb864k nKWmhJ7L4b0a30q1byrhrhmxl25I9s16UIqK0LNyrAKACgAoAKACgAoAKACgAoAKACgAoAKACgAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAvWsjxWxcAFQefYUmBDrOmx69p6RC8aFc7 t8bdaznDnVrgeK634QHhrX4BHOLqa4kJhIB4J9umc1yzpyhLQmx6ppFiNP0yGDq4GXPqa7IR5Y2K L1WAUAFABQAUATG2cReZwVxnIpAQE4BJ7UwIEvYHUMH4PtSAsUwCgAoAKACgAoAKACgAoAKACgAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgBSSY3jydrghhnqKQGRfavp/h20WEucjiOBCWY/1qJTj TWotjM0fTbrU9T/tvVEKsOLaA9EHrj1qYRcnzyA6mthhQAUAFABQAUAa8MX+iCNu4qQMqSMxuUYc iqARSFGAiY/3RSsAlMAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoACcAn0oAp2Op2u omYW7EmFtjgjGDUxkpbAXKoAoAzNR1/TdKk8q7uUSUruEefmI9hUSnGPxMDnrnxfq7uDYaBdSwsw 2yGNiCvrWftZPWMRXL88viTUUiFtBFZRSD5y5y6celN+0ltoGpa03w1a2coubhmurs9ZZecfQU40 ktXqwsbfStRhQAUAFABQAUAWLRUaX5zg9qTA1l6YJyaQFK+iCxAjqD1NNAZ1MAoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAKACgBFRVztUDPXAoAWgAoAzbzQNL1C9W7urOOWdRgM3pUu KbuwL42RgIq4AGAAKoBfMGM80AOHIoAKACgAoAKACgAoAKALVtdPGdpOQemaVgJGjeUO7kDPegCk ylWIIwRTASgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgBGB7GgBuH yORQA+gAoAKACgAoAKACgAoAKANCykEieW+ML0pMB1zbiSYtQB//2Q== 0.000 Florida Geographic Data Library (FGDL) 431 Architecture PO Box 115706 Web site: http://www.fgdl.org Gainesville FL 32611-5706 US None DOWNLOADABLE DATA https://www.fgdl.org/ SDE Feature Class datasetEPSG6.13(9.2.0)