<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20210201</CreaDate>
<CreaTime>10192800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">RecAreaPly_2021</itemName>
<nativeExtBox>
<westBL Sync="TRUE">390109.049500</westBL>
<eastBL Sync="TRUE">407712.331500</eastBL>
<southBL Sync="TRUE">127540.785000</southBL>
<northBL Sync="TRUE">146970.359000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE" export="False">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Maryland_FIPS_1900</projcsn>
<peXml Sync="TRUE">&lt;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/3.0.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Maryland_FIPS_1900&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,400000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-77.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,38.3],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,39.45],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,37.66666666666666],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,26985]]&lt;/WKT&gt;&lt;XOrigin&gt;-36747100&lt;/XOrigin&gt;&lt;YOrigin&gt;-29091500&lt;/YOrigin&gt;&lt;XYScale&gt;10000&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;26985&lt;/WKID&gt;&lt;LatestWKID&gt;26985&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20231011</SyncDate>
<SyncTime>16524300</SyncTime>
<ModDate>20231011</ModDate>
<ModTime>16524300</ModTime>
<ArcGISProfile>FGDC</ArcGISProfile>
<ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
<scaleRange>
<maxScale>5000</maxScale>
<minScale>150000000</minScale>
</scaleRange>
</Esri>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEBLAEsAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdContact>
<editorSource>external</editorSource>
<editorDigest>8917b1741c54c0b34d3ab479b495660429cdd4ac</editorDigest>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<editorSave>True</editorSave>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20231011</mdDateSt>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Enterprise Geodatabase Feature Class</formatName>
</distFormat>
<distributor>
<distorCont>
<editorSource>external</editorSource>
<editorDigest>8917b1741c54c0b34d3ab479b495660429cdd4ac</editorDigest>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<editorSave>True</editorSave>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="005"/>
</role>
</distorCont>
<distorOrdPrc>
<ordInstr>DC datasets can be downloaded from "https://opendata.dc.gov".</ordInstr>
</distorOrdPrc>
</distributor>
</distInfo>
<dataIdInfo>
<idCitation>
<date>
<createDate>2015-04-24T00:00:00</createDate>
<pubDate>2016-03-28T00:00:00</pubDate>
<reviseDate>2022-02-04T00:00:00</reviseDate>
</date>
<presForm>
<PresFormCd value="005"/>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
<resTitle Sync="FALSE">Recreation Areas</resTitle>
<citRespParty>
<editorSource>external</editorSource>
<editorDigest>8917b1741c54c0b34d3ab479b495660429cdd4ac</editorDigest>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<editorSave>True</editorSave>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
</idCitation>
<idPurp>This dataset contains polygons representing planimetric recreation areas, created as part of the DC Geographic Information System (DC GIS) for the Office of the Chief Technology Officer (OCTO). These features were originally captured in 2015 and updated in 2017, 2019, and 2021.</idPurp>
<idCredit>Office of the Chief of Technology Officer</idCredit>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<idStatus>
<ProgCd value="001"/>
</idStatus>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<searchKeys>
<keyword>baseball field</keyword>
<keyword>basketball</keyword>
<keyword>District of Columbia</keyword>
<keyword>fields</keyword>
<keyword>fitness</keyword>
<keyword>OCTO</keyword>
<keyword>outdoor</keyword>
<keyword>recreation area</keyword>
<keyword>soccer field</keyword>
<keyword>sports</keyword>
<keyword>tennis court</keyword>
<keyword>Washington DC</keyword>
</searchKeys>
<placeKeys>
<keyword>District of Columbia</keyword>
<keyword>Washington DC</keyword>
</placeKeys>
<dataExt>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2021-03-11T00:00:00</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
<exDesc>ground condition</exDesc>
</dataExt>
<resMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintCont>
<editorSource>external</editorSource>
<editorDigest>8917b1741c54c0b34d3ab479b495660429cdd4ac</editorDigest>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<editorSave>True</editorSave>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</maintCont>
</resMaint>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This work is licensed under a &lt;/SPAN&gt;&lt;A href="https://creativecommons.org:443/licenses/by/4.0/" STYLE="text-decoration:underline;"&gt;&lt;SPAN&gt;Creative Commons Attribution 4.0 International License&lt;/SPAN&gt;&lt;/A&gt;&lt;SPAN&gt;.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<envirDesc Sync="FALSE">Esri ArcGIS 13.0.3.36057</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="FALSE">-77.13</westBL>
<eastBL Sync="FALSE">-76.90</eastBL>
<northBL Sync="FALSE">39.01</northBL>
<southBL Sync="FALSE">38.78</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;The perimeter of all public and private sport/recreation courts, including clay, grass, dirt, and paved surfaces are captured. Each court is delineated separately even if adjacent. Pavement around the recreation court is captured as sidewalk, not recreation court. Courts are defined as:&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Basketball Court: full outline of the court &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Tennis Court: full outline of the court&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Baseball Field: infield and outfield of a baseball area as one polygon if easily defined in aerial photo. Otherwise infield as the baseball field.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Football Field: full outline of the field as best defined in aerial photo&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Soccer Field: full outline of the field as best defined in aerial photo&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Track: outline of track. Any recreation fields within tracks are captured and coded separately.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Other Recreation Area: For areas that cannot be easily defined by function, they are captured as other recreation area, with full outline of the field as best defined in aerial photo.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPoC>
<editorSource>external</editorSource>
<editorDigest>8917b1741c54c0b34d3ab479b495660429cdd4ac</editorDigest>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<editorSave>True</editorSave>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<tpCat>
<TopicCatCd value="016"/>
</tpCat>
<tpCat>
<TopicCatCd value="010"/>
</tpCat>
</dataIdInfo>
<mdMaint>
<maintFreq>
<MaintFreqCd value="009"/>
</maintFreq>
<maintCont>
<editorSource>external</editorSource>
<editorDigest>8917b1741c54c0b34d3ab479b495660429cdd4ac</editorDigest>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpCntInfo>
<cntPhone>
<faxNum>(202) 727-5660</faxNum>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<country>US</country>
<eMailAdd>dcgis@dc.gov</eMailAdd>
</cntAddress>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<rpPosName>GIS Data Coordinator</rpPosName>
<editorSave>True</editorSave>
<displayName>Office of the Chief Technology Officer</displayName>
<role>
<RoleCd value="007"/>
</role>
</maintCont>
</mdMaint>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<dataLineage>
<prcStep>
<stepDesc>This process describes 2017 updates to planimetric data originally captured in 2015.
The planimetric dataset provided by DC OCTO on 5/22/2017 was used as the base dataset for update by Fugro. Following the Aerotriangulation of the imagery, stereo images were generated for the planimetric compilation to allow for full view of features that could be obscured by building lean in a 2D environment. Relative and absolute orientation for the stereo images will be achieved by importing the orientation parameters from the AT results.
The planimetrics were collected using MicroStation and KLT Atlas software packages and combined for final QC in ArcGIS in the final geodatabase format. Prior to the initiation of compilation, a data capture matrix was established based on the data dictionary and compilation guidelines provided by DC OCTO. Requirements for the 2017 planimetric collect included the addition of a feature class for features associated with airports called AirPly, crosswalks as a new feature to the sidewalk layer, and a complete recollection of data in areas around the White House and Capitol that was compiled in 2013 but not captured in the 2015 collect. Topology checks were run using the OCTO provided rule set. When running topology, flags were identified on the existing 2015 dataset and this topology check was submitted with the updated 2017 collect. Additionally, the inclusion of crosswalks in the sidewalk feature class has created flags in the topology due to overlapping with roads. A separate geodatabase was generated to run the topology check (DC_Planimetrics2017_TopologyChks.gdb) and temporary sets of all feature classes with deleted data were generated. The deleted data was removed in the temporary feature classes to reduce the number of false errors that had to be reviewed. Due to the large number of exceptions in the 2015 data for curbs that were not covered by roads, the 2015 exceptions were identified and excluded from the current review. This working topology dataset was used as a guide to make corrections to the final deliverable dataset (DC_Planimetrics2017.gdb). Both the working topology geodatabase and the final deliverable geodatabase were submitted to DC.</stepDesc>
<stepProc>
<rpOrgName>Fugro Geospatial, Inc.</rpOrgName>
<role>
<RoleCd value="009"/>
</role>
<rpCntInfo>
<cntAddress addressType="both">
<eMailAdd>metadata@earthdata.com</eMailAdd>
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum>(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
</rpCntInfo>
<displayName>EarthData International, Inc</displayName>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>All planimetric data within the scope of the 2015 project was newly collected by Sanborn using DAT/EM Summit Evolution digital photogrammetric workstations, with the exception of StreetCenterlineLn_2015 (street centerlines) and GeoControlPt_2015 (ground control.) The photogrammetric supervisor established the data collection conventions to be used for data capture, including the data schema, global origin and working units to be used for data collection. The vendor assigned collection areas to stereo-compilation technicians based on OCTO’s orthophoto tile layout. They collected and saved planimetric data to the designated network subdirectory.
After the data for the tile was collected, the technician visually reviewed the planimetric information for completeness and accuracy. The data was then passed on to GIS staff.
GIS staff performed a preliminary review of the planimetric data. Omissions or errors that were found were communicated to stereo-compilation staff, who then updated the corresponding stereo-compilation file. The corrected data was then passed on to GIS staff.
GIS staff then merged all data per delivery block. Polyline features that were required by OCTO not to have pseudo nodes were dissolved. Following the dissolve, all point and polyline features were appended to a template geodatabase in their respective feature classes and attributed as defined in OCTO’s Data Dictionary.
Polylines that participated in building polygons were placed into a working dataset, and topology built to locate gaps in the lines where polygons would not properly build. A technician closed those gaps. Then, polygons were built from these polylines in a working feature class. Based on centroids collected during the stereo-compilation process, polygons were then assigned their appropriate feature code based on OCTO’s Data Dictionary. Once all polygons were assigned their feature codes based on their corresponding centroid codes, the polygons remaining were then checked against the 2015 orthophoto imagery. Any unclassified polygons that were erroneously not given a feature code (because the stereo-compiler omitted a centroid that was not caught in a previous review) were then coded with the proper feature code. Also, at this point an additional review for proper code was performed, and incorrect codes changed to correct codes. Then, all remaining un-coded polygons were removed from the working polygon feature class.
Polygons for each feature class were selected from the working feature class and appended to their appropriate feature classes based on OCTO’s Data Dictionary specifications.
Once all features were put into their proper location in the geodatabase and attribution populated, a topology was established to locate geometry errors. GIS technicians corrected errors then removed the topology from the geodatabase. The geodatabase was then compacted.
There are two isolated pockets of data that were not collected by Sanborn in the 2015 project, which are located around the White House and Capitol. Much of these two pockets have no 2015 stereo-photo coverage because the flying height required to collect imagery suitable for 3” pixel resolution orthophotos was too low relative to the no-fly zones over these areas. To avoid splitting a large number of planimetric features between differing imagery dates, the stereo-imagery voids were generally expanded to the center of the closest street (coincident with street centerlines where possible) to produce the final void areas. Inside these voids in the 2015 data, OCTO’s existing planimetrics (updated in 2013) were appended to the 2015 data for all feature classes except BarrierLn and CurbLn.</stepDesc>
<stepDateTm>2016-03-28T00:00:00</stepDateTm>
<stepProc>
<rpOrgName>EarthData International, Inc</rpOrgName>
<role>
<RoleCd value="009"/>
</role>
<rpCntInfo>
<cntAddress addressType="both">
<eMailAdd>metadata@earthdata.com</eMailAdd>
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum>(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
</rpCntInfo>
</stepProc>
<stepSrc type="used">
<srcDesc>Sanborn has successfully completed the aerial triangulation (AT) task for the aerial photography acquired April 1st through April 24th, 2015 for the DC OCTO project.
Using fully analytical aerial triangulation (FAAT) methods incorporating automatic analytical aerial triangulation (AAAT) procedures, Sanborn determined ground coordinates for each exposure by flying at an average altitude of 1100m AMSL covering the project area.
The results of the final adjustment are sufficient to enable Sanborn to produce orthophoto imagery and planimetric stereo collected data that meets project accuracy requirements (ASPRS Class 1 for 1”=100‟ mapping; RMSE 30cm).</srcDesc>
</stepSrc>
</prcStep>
<prcStep>
<stepDesc>2019 Planimetric Data Capture Update
Original data was captured in 2015 and updated in 2017 and 2019. Digital planimetric mapping was collected in strict accordance with the feature types and formats specified in the RFP. The planimetric information was collected using SSK and KLT Atlas workstations. Quality control (QC) and editing tasks were performed in the MicroStation environment with a final review in ArcGIS. Production workflow was designed specifically to maintain the 3D elements and topology of the planimetric mapping once data is migrated to the ESRI personal geodatabase environment keeping the needed attribute information. Draping was done on the data to view in stereo. Topology checks were run using the OCTO provided rule set.</stepDesc>
<stepDateTm>2019-04-23T00:00:00</stepDateTm>
<stepProc>
<rpOrgName>Fugro Geospatial, Inc.</rpOrgName>
<role>
<RoleCd value="009"/>
</role>
<rpCntInfo>
<cntAddress addressType="both">
<eMailAdd>metadata@earthdata.com</eMailAdd>
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum>(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
</rpCntInfo>
<displayName>EarthData International, Inc</displayName>
<displayName>Fugro Geospatial, Inc.</displayName>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>2021 Planimetric Data Capture Update
The planimetric dataset provided by DC OCTO on 6/15/2021 was used as the base dataset for update by Fugro. Following the Aerotriangulation of the imagery, stereo images were generated for the planimetric compilation to allow for full view of features that could be obscured by building lean in a 2D environment. Relative and absolute orientation for the stereo images will be achieved by importing the orientation parameters from the AT results.
The planimetrics were collected using MicroStation and KLT Atlas software packages and combined for final QC in ArcGIS in the final geodatabase format. Prior to the initiation of compilation, a data capture matrix was established based on the data dictionary and compilation guidelines provided by DC OCTO.
Topology checks were run using the OCTO provided rule set. When running topology, flags were identified on the existing 2019 dataset and this topology check was submitted with the updated 2021 collect.</stepDesc>
<stepDateTm>2021-03-11T00:00:00</stepDateTm>
<stepProc>
<rpIndName>Fugro Geospatial. Inc.</rpIndName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21794</postCode>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
</rpCntInfo>
<displayName>Fugro Geospatial. Inc.</displayName>
<displayName>Fugro Geospatial. Inc.</displayName>
<role>
<RoleCd value="009"/>
</role>
</stepProc>
</prcStep>
</dataLineage>
<report dimension="" type="DQConcConsis">
<measDesc>This report describes data originally captured in 2015. OCTO developed and operated a QA/QC program to check the deliverables. Generally, the program consists of various types of processes grouped into visual checks, automated procedures, edge-matching routines, specialized checks, and field verification. Through the application of these processes, the data's spatial and attribute accuracy, usability, data documentation adherence, and specialized characteristics are checked. Staff identified issues in a shapefile with appropriate descriptions for the vendor to fix. The data was delivered in preliminary format for a thorough review and identification of issues. The vendor fixed the data and delivered final data which OCTO checked to ensure the vendor made the fixes appropriately.</measDesc>
</report>
<report dimension="" type="DQCompOm">
<measDesc>The perimeter of all public and private sport/recreation courts, including clay, grass, dirt and paved surfaces will be captured. Each court will be delineated separately even if adjacent. Pavement around the recreation court should be captured as sidewalk, not recreation court. Courts will be defined as:
Basketball Court: Capture full outline of the court Tennis Court: Capture full outline of the court
Baseball Field: Capture infield and outfield of a baseball area as one polygon if easily defined in aerial photo. Otherwise capture infield as the baseball field.
Football Field: Capture full outline of the field as best defined in aerial photo
Soccer Field: Capture full outline of the field as best defined in aerial photo
Track: Capture outline of track. Any recreation fields within tracks will be captured and coded separately.
Other Recreation Area: For areas that cannot be easily defined by function, capture as other recreation area. Capture full outline of the field as best defined in aerial photo.</measDesc>
</report>
<report dimension="" type="DQTopConsis">
<measDesc>This report describes 2021 updates to planimetric data originally captured in 2015. Topology checks were run using the OCTO provided rule set. The inclusion of crosswalks in the sidewalk feature class has created flags in the topology due to overlapping with roads. Due to the large number of exceptions in the 2019 data for curbs that were not covered by roads, the 2019 exceptions were identified and excluded from the current review. This working topology dataset was used as a guide to make corrections to the final deliverable dataset.</measDesc>
<evalMethDesc>The following topological rules were used:
Must Be Larger Than Cluster Tolerance BldgPly Must Not Overlap ObsAreaPly Must Not Overlap RecareaPly Must Not Overlap SwmPoolPly Must Not Overlap WaterPly Must Not Overlap RoadPly Must Not Overlap SidewalkPly Must Not Overlap BrgTunPly Must Not Overlap BldgPly Must Not Overlap With RoadPly
RoadPly Must Not Overlap With SidewalkPly
SwmPoolPly Must Not Overlap With WaterPly
RecareaPly Must Not Overlap With WaterPly
RecareaPly Must Not Overlap With RoadPly
RecareaPly Must Not Overlap With SwmPoolPly
BrgTunPly Must Not Overlap With SwmPoolPly
BrgTunPly Must Not Overlap With RecareaPly
SidewalkPly Must Not Overlap With SwmPoolPly
SidewalkPly Must Not Overlap With RecareaPly
BldgPly Must Not Overlap With BrgTunPly
BldgPly Must Not Overlap With SwmPoolPly
BldgPly Must Not Overlap With RecareaPly
BldgPly Must Not Overlap With SidewalkPly
BrgTunPly Must Not Overlap With RoadPly
CurbLn Must Be Covered By Boundary Of RoadPly
HydroLn Must Not Have Pseudo Nodes RailRdLn Must Not Have Pseudo Nodes StreetCenterlineLn Must Not Have Pseudo Nodes CurbLn Must Not Have Pseudo Nodes BarrierLn Must Not Have Pseudo Nodes GeoControlPt Must Be Disjoint GratePt Must Be Disjoint BarrierLn Must Not Self-Overlap StreetCenterlineLn Must Not Self-Overlap RailRdLn Must Not Self-Overlap HydroLn Must Not Self-Overlap CurbLn Must Not Self-Overlap BarrierLn Must Not Self-Intersect CurbLn Must Not Self-Intersect HydroLn Must Not Self-Intersect RailRdLn Must Not Self-Intersect StreetCenterlineLn Must Not Self-Intersect CurbLn Must Not Intersect Or Touch Interior StreetCenterlineLn Must Not Intersect Or Touch Interior HydroLn Must Not Intersect Or Touch Interior BarrierLn Must Not Intersect Or Touch Interior RailRdLn Must Not Intersect Or Touch Interior </evalMethDesc>
</report>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="RecAreaPly_2021">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode code="26985"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">4.5(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<eainfo>
<detailed Name="RecAreaPly_2021">
<enttyp>
<enttypl Sync="FALSE">RecAreaPly_2021</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
<enttypd>Recreation area features.</enttypd>
<enttypds>OCTO</enttypds>
</enttyp>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrdef>Internal feature number.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>SHAPE</attrlabl>
<attalias Sync="TRUE">SHAPE</attalias>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl>GIS_ID</attrlabl>
<attalias Sync="TRUE">GIS_ID</attalias>
<attrdef>OCTO GIS sequential identifier.</attrdef>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl>FEATURECODE</attrlabl>
<attalias Sync="TRUE">FEATURECODE</attalias>
<attrdef>Feature code.</attrdef>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">5</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdefs>OCTO</attrdefs>
<attrdomv>
<edom>
<edomv>3110</edomv>
<edomvd>BASKETBALL COURT</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3120</edomv>
<edomvd>TENNIS COURT</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3130</edomv>
<edomvd>BASEBALL FIELD</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3140</edomv>
<edomvd>FOOTBALL FIELD</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3150</edomv>
<edomvd>SOCCER FIELD</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3160</edomv>
<edomvd>TRACK</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3170</edomv>
<edomvd>OTHER RECREATIONAL AREA</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>3180</edomv>
<edomvd>OTHER RECRECREATION COURT</edomvd>
<edomvds>OCTO</edomvds>
</edom>
</attrdomv>
</attr>
<attr>
<attrlabl>DESCRIPTION</attrlabl>
<attalias Sync="TRUE">DESCRIPTION</attalias>
<attrdef>Description of feature code.</attrdef>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl>CAPTUREYEAR</attrlabl>
<attalias Sync="FALSE">CAPTUREYEAR</attalias>
<attrdef>Capture date.</attrdef>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdefs>OCTO</attrdefs>
</attr>
<attr>
<attrlabl>CAPTUREACTION</attrlabl>
<attalias Sync="TRUE">CAPTUREACTION</attalias>
<attrdef>Type of edit performed on the feature.</attrdef>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdefs>OCTO</attrdefs>
<attrdomv>
<edom>
<edomv>A</edomv>
<edomvd>Add</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>D</edomv>
<edomvd>Delete</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>E</edomv>
<edomvd>Existing</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>U</edomv>
<edomvd>Update</edomvd>
<edomvds>OCTO</edomvds>
</edom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">DCGIS_RECAREAPLY_AREA</attrlabl>
<attalias Sync="TRUE">DCGIS.RecAreaPly.AREA</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SE_ANNO_CAD_DATA</attrlabl>
<attalias Sync="TRUE">SE_ANNO_CAD_DATA</attalias>
<attrtype Sync="TRUE">Blob</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE.AREA</attrlabl>
<attalias Sync="TRUE">SHAPE.AREA</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SHAPE.LEN</attrlabl>
<attalias Sync="TRUE">SHAPE.LEN</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="RecAreaPly_2021">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
</metadata>
