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<resTitle Sync="FALSE">Contour_1ft_2019_wmas</resTitle>
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<pubDate time="unknown">2014-11-14T00:00:00</pubDate>
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<rpOrgName>St. Johns County GIS Division</rpOrgName>
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<fgdcGeoform>vector digital data</fgdcGeoform>
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<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This data set is one component of a digital terrain model (DTM) for St. Johns County. The dataset 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 counties specifications, the following breakline features are contained within the database: closed water bodies (lakes, reservoirs, etc) as 3-D polygons; linear hydrographic features (streams, shorelines, canals, swales, embankments, etc) as 3-D breaklines; coastal shorelines as 3-D linear features; edge of pavement road features as 3-D breaklines; soft features (ridges, valleys, etc.) as 3-D breaklines; island features as 3-D polygons; concretedam, culvert, footprint, lowconfidence, lowconfidenceanno, overpass, pipe, roadcenterlineoverbridge and swamppoint as 2-D features. Contours were generated from LiDAR ground class and breaklines and meet National Map Accuracy Standards. The LiDAR masspoints are delivered in the LAS file format based on the Florida statewide 5,000' by 5,000' grid. Breakline features were captured to develop a hydrologically correct DTM. The GEOID model used to reduce satellite derived elevations to orthometric height is GEOID12A. The coastalshoreline has a constant value of -0.6’ that was statistically derived from the LiDAR point cloud collected within the 2-hour window of MLL tide. 2008 Hydrographic and soft features were used to supplement the 2019 breaklines in Low Confidence areas.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>The DTM was created to support the development and maintenance of the St. Johns County Countywide Digital Contour Mapping Project. The project includes 6-inch color and IR countywide imagery. Breaklines improve the digital elevation model in areas where the point density is insufficient.</idPurp>
<idCredit>Data content is created and/or maintained by the St. Johns County GIS Division and Woolpert, Inc.</idCredit>
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<delPoint>500 San Sebastian View</delPoint>
<city>Saint Augustine</city>
<adminArea>Florida</adminArea>
<postCode>32084</postCode>
<country>US</country>
<eMailAdd>gis@sjcfl.us</eMailAdd>
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<keyword>Florida</keyword>
<keyword>United States</keyword>
<keyword>St. Johns County</keyword>
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<keyword>Terrain</keyword>
<keyword>Contours</keyword>
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<searchKeys>
<keyword>Terrain</keyword>
<keyword>Florida</keyword>
<keyword>United States</keyword>
<keyword>Contours</keyword>
<keyword>St. Johns County</keyword>
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<LegConsts>
<useLimit>The St. Johns County GIS Division provides this data "as is" and makes no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.</useLimit>
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<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Information from the St. Johns County Geographic Information System is provided for general reference purposes only and is not to be construed as a survey or legal document. Errors from non-coincidence of features from different sources may be present. The St. Johns County Geographic Information System makes every reasonable effort to ensure that the information provided herein is current and accurate. However, St. Johns County provides no warranties, expressed or implied, concerning the accuracy, completeness, reliability, or suitability of this data for any particular use or purpose. St. Johns County assumes no liability whatsoever associated with the use or misuse of such data.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
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<southBL>29.621209</southBL>
<northBL>30.260335</northBL>
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<exDesc>ground condition</exDesc>
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<tmBegin time="unknown">2013-01-01</tmBegin>
<tmEnd time="unknown">2013-02-01</tmEnd>
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<suppInfo>Project Title: ST. JOHNS COUNTY, FL Vendor Name: Woolpert, Inc.</suppInfo>
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<measDesc>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.</measDesc>
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<measDesc>This feature class represents the complete set of data.</measDesc>
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<report dimension="horizontal" type="DQAbsExtPosAcc">
<measDesc>Compiled to meet 1.2 feet horizontal accuracy at 95% confidence level as defined by the FGDC Geospatial Positional Accuracy Standards, Part 3: NSSDA.</measDesc>
<evalMethDesc>LiDAR system calibration is available in the MTS Report of Specific Purpose Survey.</evalMethDesc>
<measResult>
<QuanResult>
<quanVal>1.2</quanVal>
</QuanResult>
</measResult>
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<report dimension="vertical" type="DQAbsExtPosAcc">
<measDesc>Vertical accuracy of the bare earth lidar is +/- 0.23 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 TIN 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. RMSE was used to compute the vertical accuracy based on methods described by the National Standard for Spatial Data Accuracy (NSSDA).</measDesc>
<evalMethDesc>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.</evalMethDesc>
<measResult>
<QuanResult>
<quanVal>0.23</quanVal>
</QuanResult>
</measResult>
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<prcStep>
<stepDesc>Filtered LiDAR and vector data are subjected to rigorous QA/QC procedures. Using the 3D breakline features and 3D masspoints, 1 foot contours were generated. Stereo models were created from the color imagery from Leica ADS80-SH81/82 Airborne Digital Sensor. From these stereo images the contour dataset was reviewed and verified to meet NMAS standards.</stepDesc>
<stepProc>
<rpOrgName>Woolpert, Inc.</rpOrgName>
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<cntPhone>
<voiceNum>937-461-5660</voiceNum>
<faxNum>937-461-0743</faxNum>
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<cntAddress addressType="both">
<delPoint>4454 Idea Center Boulevard</delPoint>
<city>Dayton</city>
<adminArea>Ohio</adminArea>
<postCode>45430</postCode>
<country>US</country>
<eMailAdd>www.woolpert.com</eMailAdd>
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<cntHours>8:00-5:00</cntHours>
<cntInstr>Monday-Friday</cntInstr>
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<prcStep>
<stepDesc>Airborne terrestrial LiDAR was collected for St. Johns County, FL. The LiDAR system acquisition parameters were developed based on a maximum average ground sample distance of 3.23 feet. A Leica ALS70 LiDAR sensor was used for acquisition. Acquisition specifications for the sensor were as follows: Field of View (full angle) - 40 degrees, Nominal flight altitude (AGL) - 6500 feet, Airspeed - 172 mph (150 knots), Laser pulse rate - 270,000 Hz, Nominal swath width (on ground) - 4732 feet, Maximum cross track point spacing - 2.98 feet, Maximum along track point spacing - 3.01 feet, Average point spacing - 3.28 feet, Flight line spacing - 3314 feet, Side overlap - 29.3 percent. Prior to the LiDAR acquisition, the system underwent a system calibration to verify the operational accuracy and misalignment angles. LiDAR data acquisition only occurred when the sky was sufficiently clear of clouds, smoke, and atmospheric haze. The LiDAR data was processed immediately following the acquisition to verify the coverage had no voids. The GPS and IMU data was post processed using differential and kalman filter algorithms to derive a smoothed best estimate of trajectory. The quality of the solution was verified to be consistent with the accuracy requirements of the project. The ground control system to support the LiDAR survey consisted of 24 control points surveyed specifically for this project and provided by St John County, Florida Survey &amp;GIS Division. The LiDAR data was post processed and verified to be consistent with the project requirements in terms of post spacing and absence of artifacts. The point cloud underwent classification to determine bare-earth points (class 2), low vegetation points (class 3), medium vegetation points (class 4), high vegetation points (class 5), building points (class 6) noise points (class 7), water returns (class 9), breakline proximity points (class 10), bridge points (class 13, canopy/covered walkway points (class 14) and unclassified data (class 1)</stepDesc>
<stepProc>
<rpOrgName>Woolpert, Inc.</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>937-461-5660</voiceNum>
<faxNum>937-461-0743</faxNum>
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<delPoint>4454 Idea Center Boulevard</delPoint>
<city>Dayton</city>
<adminArea>Ohio</adminArea>
<postCode>45430</postCode>
<country>US</country>
<eMailAdd>www.woolpert.com</eMailAdd>
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<cntHours>8:00-5:00</cntHours>
<cntInstr>Monday-Friday</cntInstr>
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<prcStep>
<stepDesc>All of the source imagery was processed using the Leica XPRO (V5.2) software package. Beginning with aerial triangulation process uses only the Level 0 panchromatic imagery bands PANB14, PANF27, and PANF02 which are created by XPro. The aerial triangulation process is similar to conventional operations, where the Level 0 panchromatic imagery is passed through Automatic Point Measurement, the resulting tie points and ground control is adjusted using CAP-A and ORIMA software. Blunders are removed and the block is analyzed for weak network areas, and if required, manual points are added. The final adjustment output consists of precise orientation data files for each band, calibration parameters and metadata. At this stage 8 bit Level 1 rectify images are produced for photogrammetric compilation.</stepDesc>
<stepDateTm>2013-01-01</stepDateTm>
<stepProc>
<rpOrgName>Woolpert, Inc.</rpOrgName>
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<cntPhone>
<voiceNum>937-461-5660</voiceNum>
<faxNum>937-461-0743</faxNum>
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<delPoint>4454 Idea Center Boulevard</delPoint>
<city>Dayton</city>
<adminArea>Ohio</adminArea>
<postCode>45430</postCode>
<country>US</country>
<eMailAdd>www.woolpert.com</eMailAdd>
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<stepDesc>The Leica ADS80-SH81/82 Airborne Digital Sensor is a push-broom geometry sensor, collecting 12-bit data with 12,000 pixel swath coverage with up to a 5-centimeter spatial resolution. The sensor is capable of collecting multiple spectral bands and angles simultaneously. Leica’s ADS80 collects seven bands of imagery simultaneously: three panchromatic CCD lines capture information in the forward, nadir and backward views from the aircraft, while four multispectral lines capture data in the red, green, blue, and near color infrared band. The imagery for this task order was acquired using the Leica ADS80-SH81/82 multispectral scanner. The ADS80-SH81/82 utilizes the Leica’s IPAS20 direct positioning and orientation system that is based on airborne GPS and inertial measurement unit (IMU) technology. The IPAS20 data were reduced using Leica’s IPAS Pro v1.3 software package.</stepDesc>
<stepDateTm>2013-01-01</stepDateTm>
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<rpOrgName>Woolpert, Inc.</rpOrgName>
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<adminArea>Ohio</adminArea>
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<eMailAdd>www.woolpert.com</eMailAdd>
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