Florida Division of Emergency Management20090211unknownvector digital dataTallahasseeFlorida Division of Emergency ManagementDuval Countyhttp://www.floridadisaster.org/gisThis data set represents the 2-foot contour component of a digital terrain model (DTM) for the Florida Division of Emergency Management's (FDEM) Project Management and Technical Services for Mapping within Coastal Florida, encompassing Duval County, Florida. The complete digital terrain model is comprised of mass points, 2-D and 3-D breakline features, 1-foot and 2-foot contours, ground control, vertical test points, and a footprint of the data set, in the ESRI ArcGIS File Geodatabase format. In accordance with the Baseline Specifications 0.9, the following breakline features are contained within the database: closed water bodies (lakes, reservoirs, etc) as 2-D or 3-D polygons; linear hydrographic features (streams, shorelines, canals, swales, embankments, etc) as 3-D breaklines; coastal shorelines as 2-D or 3-D linear features; edge of pavement road features as 3-D breaklines; soft features (ridges, valleys, etc.) as 3-D breaklines; low confidence areas as 2-D polygons; island features as 2-D or 2D polygons; overpasses and bridges as 3-D breaklines. Contours were generated from a gridded DEM: 2-foot contours meet National Map Accuracy Standards, with 1-foot contours for visualization purposes. The LiDAR masspoints are delivered in the LAS file format based on the FDEM's 5,000' by 5,000' grid. Breakline features were captured to develop a hydrologically correct DTM. Bare earth LiDAR masspoint data display a vertical accuracy of at least 0.3-feet root mean square error (RMSE) in open unobscured areas.The DTM was developed to support the Florida Division of Emergency Management (FDEM) development and maintenance of Regional Evacuation Studies (Study), which include vulnerability assessments and assist disaster response personnel in understanding threats to Florida's citizens and visitors. Breaklines improve the digital elevation model in areas where the point density is insufficient.Sensor Description - Intergraph DMC serial number 001-004620070317unknown20070318unknownpublication dateCompleteAs needed-82.052424-81.37190630.59213430.101015NoneTerrainContoursPhotogrammetryHydrologyStereo ModelDEMLiDARNoneJacksonvilleFloridaDuvalThis data may be used by the requested party for stated purposes and should not be re-distributed.This data is for planning purposes only and should not be used for legal or cadastral purposes. Regional Evacuation Studies are currently being updated and www.floridadisaster.org/gis should be consulted for revisions.Florida Division of Emergency Managementmailing

2555 Shumard Oak Boulevard

TallahasseeFlorida32399-2100US850-413-9907850-488-1016gis@dca.state.fl.us Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362http://www.floridadisaster.org/gis/LiDAR/index.htm Baseline Specifications for Orthophotography and LiDAR: http://www.floridadisaster.org/gis/specifications/Documents/BaselineSpecifications_1.2.pdf Standards for 1:24,000 Scale Digital Line Graphs: http://rockyweb.cr.usgs.gov/nmpstds/acrodocs/dlgqmap/7dqm0401.pdfGeoPlan relied on the integrity of the attribute information within the original data.Contours were generated from 30-foot DEM generated from the LIDAR data and breaklines. These breaklines were determined from LiDAR and stereo tile (LiDAR grammetry) data of specific dates and that model the land/water contributions and extents on those dates. The 3-D vector line work was created using stereo-compilation. A thorough QC procedure was implemented to verify the elevation of the breaklines and to ensure no zero elevations were found except in coastal areas where it is possible to find z values equal to mean sea level. Additional QC steps were taken to ensure all breaklines agree with the vertical location of the LiDAR. The DTM was developed in accordance with the Baseline Specifications 0.9. The DTM is intended to support 2-foot contours, and the vertical accuracy of ground points in unobscured areas is not to exceed 0.6-feet RMSE. A thorough QC was implemented to verify the breakline elevation accuracy.All breakline features are an accurate three-dimensional representation of the surface with varying elevations. Roadbreakline features were captured at edge of pavement. The LiDAR (masspoint) feature class consists of 1054 tiles (Duval County).Horizontal accuracy is +/- 3.8-foot at the 95% confidence level using RMSE(r) x 1.7308 as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA.3.8see MTS Report of Specific Purpose Survey0.3-feet RMSE for unobscured ground points. The accuracy assessment was performed using a standard method to compute the root mean square error (RMSE) based on a comparison of ground control points and filtered LiDAR data points. Filtered LiDAR data has had vegetation and cultural features removed and by analysis represents bare earth elevations. The RMSE figure was used to compute the vertical National Standard for Spatial Data Accuracy (NSSDA).0.3-feet RMSE - testedsee MTS Report of Specific Purpose SurveyCDM20090211unknownvector digital data24000None20090211ground conditionFDEMSpatial and Attribute InformationFiltered Lidar and vector data are subjected to rigorous QA/QC procedures designed by Sanborn. Terramodel software was used to display the edited LiDAR points and associated GEOTIFF orthophotos to construct breaklines for the edge pavement. Breakline elevations were linearly ramped between identified critical elevation points along roads.LiDAR data LAS 1.1 format20090211Classified filtered Lidar data3-D breaklinesCDMErin HardinProject Managermailing and physical

8381 Dix Ellis Trail, Suite 400

JacksonvilleFlorida32556US904-527-6717904-519-7090www.cdm.com8:00-5:00Monday-FridayThe unedited data are classified to facilitate the application of the appropriate feature extraction filters. Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces.20090211CDMErin HardinProject Managermailing and physical

8381 Dix Ellis Trail, Suite 400

JacksonvilleFlorida32556US904-527-6717904-519-7090www.cdm.com8:00-5:00Monday-FridayThe Airborne Global Positioning System (ABGPS), inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey. The ABGPS monitors the xyz position of the sensor and the IMU monitors the orientation. During the aerial survey laser pulses reflected from features on the ground surface are detected by the receiver optics and collected by the data logger. GPS locations are based on data collected by receivers on the aircraft and base stations on the ground. The ground base stations are placed no more than 20 mile radius from the flight survey area.Airborne Global Positioning SystemSensor Description - Intergraph DMC serial number 001-0046Global Positioning SystemInertial Measuring Unit20090211LiDAR Scan FilesGPS dataCDMErin HardinProject Managermailing and physical

8381 Dix Ellis Trail, Suite 400

JacksonvilleFlorida32556US904-527-6717904-519-7090www.cdm.com8:00-5:00Monday-FridayThe contours are generated from Lidar data and breaklines using a contour generation function in Terrascan. The Lidar data is gridded to a 30' grid and incorporated with the 3d breaklines. A process is run to remove the gridded point from within 15' of the breaklines and Terrascan automatically generates the contours using specific input criteria to include contour interval, line type, smoothness and minimum size.20090211CDMErin HardinProject Managermailing and physical

8381 Dix Ellis Trail, Suite 400

JacksonvilleFlorida32556US904-527-6717904-519-7090www.cdm.com8:00-5:00Monday-FridayThe ABGPS, IMU, and raw scans are integrated. The resultant file is in a LAS binary 1.1 file format. The LAS file format can be easily transferred from one file format to another. It is a binary file format that maintains information specific to the LiDAR data (return#, intensity value, xyz, etc.). The resultant points are produced in the Florida State Plane east Zone coordinate system, with units in feet and referenced to the NAD83/90 HARN horizontal datum and NAVD88 vertical datum.LiDAR dataInertial Measurement UnitAirborne Global Positioning System20090211FDEMCDMErin HardinProject Managermailing and physical

8381 Dix Ellis Trail, Suite 400

JacksonvilleFlorida32556US904-527-6717904-519-7090www.cdm.com8:00-5:00Monday-FridayGeoPlan received this data via hard drive from Jones Edmunds on 8/27/09. When received the data was in 3 personal geodatabases. The data was merged into 1 file geodatabase. The feature class was then projected from UTM NAD83 HARN - feet to Albers HPGN. -Added SOURCE field and populated all values to CDM -Added FGDLAQDATE field based on date GeoPlan acquired data from source -Changed name from DUVAL_CONTOUR_CENTRAL, DUVAL_CONTOUR_EAST, DUVAL_CONTOUR_WEST to TOPO2FT_DUVALGeoPlan20091002VectorString837894NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101TOPO2FT_CDMTOPO2FT_CDM.DBFCDMOBJECTIDInternal feature number.ESRISequential unique whole numbers that are automatically generated.ShapeFeature geometry.ESRICoordinates defining the features.EntIDUndefined by SourceunknownCONTOUR_ELEVATION_MSContour elevationDTMCONTOUR_TYPE_DESCContour typeunknown1INTERMEDIATE contours (the three or four lines between adjacent index contours) are about half the line weight of index contours. They are normally continuous throughout a map, but may be dropped or joined with an index contour where the slope is steep and where there is insufficient space to show all of the intermediate lines.2SUPPLEMENTARY contours are used to portray important relief features that would otherwise not be shown by the index and intermediate contours (basic contours). They are normally added only in areas of low relief, but they may also be used in rugged terrain to emphasize features. Supplementary contours are shown as screened lines so that they are distinguishable from the basic contours, yet not unduly prominent on the published map. 3DEPRESSION contours are closed contours that surround a basin or sink. They are shown by right-angle ticks placed on the contour lines, pointed inward (down slope). Fill contours are a special type of depression contours, used to indicate an area that has been filled to support a road or railway grade.4INDEX contours are defined as every 5th contour line. For example, with the Contour_2FT feature class, the first positive intermediate contour would be 0 with the following index contours at 10, 20, 30 feet, etc.5INTERMEDIATE LOW CONFIDENCE6SUPPLEMENTARY LOW CONFIDENCE7DEPRESSION LOW CONFIDENCE8INDEX LOW CONFIDENCEDATESTAMP_DTWhen the feature was added to the GeodatabaseFDEM Baseline SpecificationsCARRYING_CONTOUR_ELEVATION_MS Undefined by SourceunknownSOURCEAbbreviated 3-letter code representing the data source.GeoPlanFGDLAQDATEDate FGDL acquired data from sourceGeoPlanAUTOIDUnique ID added by GeoPlanGeoPlanSHAPE.LENLength in metersGeoPlanEntity and Attribute information designed in accordance to FDEM Baseline Specifications 0.9 (Attachment 3)Entity and Attribute information designed in accordance to FDEM Baseline Specifications 0.9 (Attachment 3)Florida Geographic Data Library (FGDL)mailing

431 Architecture PO Box 115706

GainesvilleFlorida32611-5706USWeb site: http://www.fgdl.orgMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlFor FGDL Software: http://www.fgdl.org/software.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlDOWNLOADABLE DATAThe 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.htmlASCII0.388CD-ROMNone.This data is intended for use with a Geographic Information Systems or Remote Sensing software package.20230113Florida Division of Emergency ManagementRichard ButgereitGIS Administratormailing

2555 Shumard Oak Boulevard

TallahasseeFlorida32399-2100US850-413-9907850-488-1016richard.butgereit@em.myflorida.comFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeRichard ButgereitFlorida Division of Emergency ManagementGIS Administrator850-413-9907850-488-10162555 Shumard Oak BoulevardTallahasseeFlorida32399-2100USrichard.butgereit@em.myflorida.com20230113ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFlorida32611-5706USFor FGDL Software: http://www.fgdl.org/software.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlWeb site: http://www.fgdl.orgNone.ASCIIThis data is intended for use with a Geographic Information Systems or Remote Sensing software package.0.388DOWNLOADABLE DATAhttp://www.floridadisaster.org/gis2FT CONTOUR LINES (CDM)2009-02-11Florida Division of Emergency ManagementTallahasseeFlorida Division of Emergency Managementvector digital dataDuval CountyThis data set represents the 2-foot contour component of a digital terrain model (DTM) for the Florida Division of Emergency Management's (FDEM) Project Management and Technical Services for Mapping within Coastal Florida, encompassing Duval County, Florida. The complete digital terrain model is comprised of mass points, 2-D and 3-D breakline features, 1-foot and 2-foot contours, ground control, vertical test points, and a footprint of the data set, in the ESRI ArcGIS File Geodatabase format. In accordance with the Baseline Specifications 0.9, the following breakline features are contained within the database: closed water bodies (lakes, reservoirs, etc) as 2-D or 3-D polygons; linear hydrographic features (streams, shorelines, canals, swales, embankments, etc) as 3-D breaklines; coastal shorelines as 2-D or 3-D linear features; edge of pavement road features as 3-D breaklines; soft features (ridges, valleys, etc.) as 3-D breaklines; low confidence areas as 2-D polygons; island features as 2-D or 2D polygons; overpasses and bridges as 3-D breaklines. Contours were generated from a gridded DEM: 2-foot contours meet National Map Accuracy Standards, with 1-foot contours for visualization purposes. The LiDAR masspoints are delivered in the LAS file format based on the FDEM's 5,000' by 5,000' grid. Breakline features were captured to develop a hydrologically correct DTM. Bare earth LiDAR masspoint data display a vertical accuracy of at least 0.3-feet root mean square error (RMSE) in open unobscured areas.The DTM was developed to support the Florida Division of Emergency Management (FDEM) development and maintenance of Regional Evacuation Studies (Study), which include vulnerability assessments and assist disaster response personnel in understanding threats to Florida's citizens and visitors. Breaklines improve the digital elevation model in areas where the point density is insufficient.Florida Division of Emergency Management850-413-9907850-488-10162555 Shumard Oak BoulevardTallahasseeFlorida32399-2100USgis@dca.state.fl.usFloridaDuvalJacksonvilleLiDARPhotogrammetryHydrologyStereo ModelDEMContoursTerrainLiDARPhotogrammetryHydrologyFloridaStereo ModelDuvalDEMContoursJacksonvilleTerrainThe 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.htmlThis data may be used by the requested party for stated purposes and should not be re-distributed.This data is for planning purposes only and should not be used for legal or cadastral purposes. Regional Evacuation Studies are currently being updated and www.floridadisaster.org/gis should be consulted for revisions.http://www.floridadisaster.org/gis/LiDAR/index.htm Baseline Specifications for Orthophotography and LiDAR: http://www.floridadisaster.org/gis/specifications/Documents/BaselineSpecifications_1.2.pdf Standards for 1:24,000 Scale Digital Line Graphs: http://rockyweb.cr.usgs.gov/nmpstds/acrodocs/dlgqmap/7dqm0401.pdfVersion 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362publication date2007-03-172007-03-18-82.052424-81.37190630.10101530.592134Sensor Description - Intergraph DMC serial number 001-0046Contours were generated from 30-foot DEM generated from the LIDAR data and breaklines. These breaklines were determined from LiDAR and stereo tile (LiDAR grammetry) data of specific dates and that model the land/water contributions and extents on those dates. The 3-D vector line work was created using stereo-compilation. A thorough QC procedure was implemented to verify the elevation of the breaklines and to ensure no zero elevations were found except in coastal areas where it is possible to find z values equal to mean sea level. Additional QC steps were taken to ensure all breaklines agree with the vertical location of the LiDAR. The DTM was developed in accordance with the Baseline Specifications 0.9. The DTM is intended to support 2-foot contours, and the vertical accuracy of ground points in unobscured areas is not to exceed 0.6-feet RMSE. A thorough QC was implemented to verify the breakline elevation accuracy.All breakline features are an accurate three-dimensional representation of the surface with varying elevations. Roadbreakline features were captured at edge of pavement. The LiDAR (masspoint) feature class consists of 1054 tiles (Duval County).GeoPlan relied on the integrity of the attribute information within the original data.Horizontal accuracy is +/- 3.8-foot at the 95% confidence level using RMSE(r) x 1.7308 as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA.see MTS Report of Specific Purpose Survey3.80.3-feet RMSE for unobscured ground points. The accuracy assessment was performed using a standard method to compute the root mean square error (RMSE) based on a comparison of ground control points and filtered LiDAR data points. Filtered LiDAR data has had vegetation and cultural features removed and by analysis represents bare earth elevations. The RMSE figure was used to compute the vertical National Standard for Spatial Data Accuracy (NSSDA).see MTS Report of Specific Purpose Survey0.3-feet RMSE - testedThe Airborne Global Positioning System (ABGPS), inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey. The ABGPS monitors the xyz position of the sensor and the IMU monitors the orientation. During the aerial survey laser pulses reflected from features on the ground surface are detected by the receiver optics and collected by the data logger. GPS locations are based on data collected by receivers on the aircraft and base stations on the ground. The ground base stations are placed no more than 20 mile radius from the flight survey area.2009-02-11Erin HardinCDMProject Manager904-527-6717904-519-70908381 Dix Ellis Trail, Suite 400JacksonvilleFlorida32556USwww.cdm.com8:00-5:00Monday-FridaySensor Description - Intergraph DMC serial number 001-0046Airborne Global Positioning SystemGlobal Positioning SystemInertial Measuring UnitGPS dataLiDAR Scan FilesGeoPlan received this data via hard drive from Jones Edmunds on 8/27/09. When received the data was in 3 personal geodatabases. The data was merged into 1 file geodatabase. The feature class was then projected from UTM NAD83 HARN - feet to Albers HPGN. -Added SOURCE field and populated all values to CDM -Added FGDLAQDATE field based on date GeoPlan acquired data from source -Changed name from DUVAL_CONTOUR_CENTRAL, DUVAL_CONTOUR_EAST, DUVAL_CONTOUR_WEST to TOPO2FT_DUVAL2009-10-02GeoPlanThe contours are generated from Lidar data and breaklines using a contour generation function in Terrascan. The Lidar data is gridded to a 30' grid and incorporated with the 3d breaklines. A process is run to remove the gridded point from within 15' of the breaklines and Terrascan automatically generates the contours using specific input criteria to include contour interval, line type, smoothness and minimum size.2009-02-11Erin HardinCDMProject Manager904-527-6717904-519-70908381 Dix Ellis Trail, Suite 400JacksonvilleFlorida32556USwww.cdm.com8:00-5:00Monday-FridayThe ABGPS, IMU, and raw scans are integrated. The resultant file is in a LAS binary 1.1 file format. The LAS file format can be easily transferred from one file format to another. It is a binary file format that maintains information specific to the LiDAR data (return#, intensity value, xyz, etc.). The resultant points are produced in the Florida State Plane east Zone coordinate system, with units in feet and referenced to the NAD83/90 HARN horizontal datum and NAVD88 vertical datum.2009-02-11Erin HardinCDMProject Manager904-527-6717904-519-70908381 Dix Ellis Trail, Suite 400JacksonvilleFlorida32556USwww.cdm.com8:00-5:00Monday-FridayAirborne Global Positioning SystemLiDAR dataInertial Measurement UnitFDEMThe unedited data are classified to facilitate the application of the appropriate feature extraction filters. Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces.2009-02-11Erin HardinCDMProject Manager904-527-6717904-519-70908381 Dix Ellis Trail, Suite 400JacksonvilleFlorida32556USwww.cdm.com8:00-5:00Monday-FridayFiltered Lidar and vector data are subjected to rigorous QA/QC procedures designed by Sanborn. Terramodel software was used to display the edited LiDAR points and associated GEOTIFF orthophotos to construct breaklines for the edge pavement. Breakline elevations were linearly ramped between identified critical elevation points along roads.2009-02-11Erin HardinCDMProject Manager904-527-6717904-519-70908381 Dix Ellis Trail, Suite 400JacksonvilleFlorida32556USwww.cdm.com8:00-5:00Monday-FridayLiDAR data LAS 1.1 formatClassified filtered Lidar data3-D breaklinesSpatial and Attribute Information24000State of Florida Division of Emergency Management LiDAR Project SurveyFDEM2009-02-11CDMvector digital dataground condition2009-02-1183789420230113092410001.0500005000original metadataPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk aW5mbz4NCiAgICA8Y2l0YXRpb24+DQogICAgICA8Y2l0ZWluZm8+DQogICAgICAgIDxvcmlnaW4+ RmxvcmlkYSBEaXZpc2lvbiBvZiBFbWVyZ2VuY3kgTWFuYWdlbWVudDwvb3JpZ2luPg0KICAgICAg ICA8cHViZGF0ZT4yMDA5MDIxMTwvcHViZGF0ZT4NCiAgICAgICAgPHB1YnRpbWU+dW5rbm93bjwv cHVidGltZT4NCiAgICAgICAgPHRpdGxlPjJGVCBDT05UT1VSIExJTkVTIChDRE0pPC90aXRsZT4N 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