<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20260208</CreaDate>
<CreaTime>23260700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="FALSE">BldgPly</itemName>
<nativeExtBox>
<westBL Sync="TRUE">390009.873500</westBL>
<eastBL Sync="TRUE">407833.363500</eastBL>
<southBL Sync="TRUE">126153.099000</southBL>
<northBL Sync="TRUE">147518.726000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType 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/3.2.0'&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;-36747099.999499999&lt;/XOrigin&gt;&lt;YOrigin&gt;-29091499.999000002&lt;/YOrigin&gt;&lt;XYScale&gt;1000&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;0.002&lt;/XYTolerance&gt;&lt;ZTolerance&gt;2&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>
<ArcGISProfile>FGDC</ArcGISProfile>
<SyncDate>20260220</SyncDate>
<SyncTime>10273700</SyncTime>
<ModDate>20260220</ModDate>
<ModTime>10273700</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
</Esri>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQECWAJYAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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=</Data>
</Thumbnail>
</Binary>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<mdContact>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpPosName>GIS Data Coordinator</rpPosName>
<role>
<RoleCd value="007"/>
</role>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<eMailAdd>dcgis@dc.gov</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
<faxNum>(202) 727-6857</faxNum>
</cntPhone>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
</mdContact>
<mdDateSt Sync="TRUE">20260220</mdDateSt>
<distInfo>
<distFormat>
<formatName>File Geodatabase Feature Class</formatName>
</distFormat>
<distributor>
<distorCont>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpPosName>GIS Data Coordinator</rpPosName>
<role>
<RoleCd value="007"/>
</role>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<eMailAdd>dcgis@dc.gov</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
<faxNum>(202) 727-6857</faxNum>
</cntPhone>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<displayName>Office of the Chief Technology Officer</displayName>
<displayName>Office of the Chief Technology Officer</displayName>
</distorCont>
<distorOrdPrc>
<ordInstr>DC datasets can be downloaded from "https://opendata.dc.gov/".</ordInstr>
</distorOrdPrc>
</distributor>
</distInfo>
<dataIdInfo>
<idPurp>The dataset contains polygons representing planimetric buildings, 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, 2021, 2023 and 2025</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Building structures include parking garages, ruins, monuments, and buildings under construction along with residential, commercial, industrial, apartment, townhouses, duplexes, etc. Buildings equal to or larger than 9.29 square meters (100 square feet) are captured. Buildings are delineated around the roof line showing the building "footprint." Roof breaks and rooflines, such as between individual residences in row houses or separate spaces in office structures, are captured to partition building footprints. This includes capturing all sheds, garages, or other non-addressable buildings over 100 square feet throughout the city. Atriums, courtyards, and other “holes” in buildings created as part of demarcating the building outline are not part of the building capture. This includes construction trailers greater than 100 square feet. Memorials are delineated around a roof line showing the building "footprint."Bleachers are delineated around the base of connected sets of bleachers. Parking Garages are delineated at the perimeter of the parking garage including ramps. Parking garages sharing a common boundary with linear features must have the common segment captured once. A parking garage is only attributed as such if there is rooftop parking. Not all rooftop parking is a parking garage, however. There are structures that only have rooftop parking but serve as a business. Those are captured as buildings. Fountains are delineated around the base of fountain structures.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Office of the Chief of Technology Officer</idCredit>
<idCitation>
<resTitle>Building Footprints</resTitle>
<citRespParty>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpPosName>GIS Data Coordinator</rpPosName>
<role>
<RoleCd value="007"/>
</role>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<eMailAdd>dcgis@dc.gov</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
<faxNum>(202) 727-6857</faxNum>
</cntPhone>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<displayName>Office of the Chief Technology Officer</displayName>
<displayName>Office of the Chief Technology Officer</displayName>
</citRespParty>
<date>
<pubDate>2026-02-06T00:00:00</pubDate>
</date>
<presForm>
<PresFormCd value="005"/>
</presForm>
<presForm>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
</idCitation>
<searchKeys>
<keyword>building</keyword>
<keyword>District of Columbia</keyword>
<keyword>OCTO</keyword>
<keyword>planimetrics</keyword>
<keyword>structure</keyword>
<keyword>Washington DC</keyword>
<keyword>dc</keyword>
<keyword>currentplanimetric</keyword>
</searchKeys>
<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/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>
<themeKeys>
<thesaName>
<resTitle>ISO 19115 Topic Categories</resTitle>
</thesaName>
<keyword>structure</keyword>
<keyword>imageryBaseMapsEarthCover</keyword>
</themeKeys>
<placeKeys>
<keyword>District of Columbia</keyword>
<keyword>Washington DC</keyword>
</placeKeys>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<envirDesc>Esri ArcGIS 13.0.3.36057</envirDesc>
<idStatus>
<ProgCd value="001"/>
</idStatus>
<dataExt>
<exDesc>ground condition</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2025-03-27T00:00:00</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<idPoC>
<rpOrgName>Office of the Chief Technology Officer</rpOrgName>
<rpPosName>GIS Data Coordinator</rpPosName>
<role>
<RoleCd value="007"/>
</role>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>200 I Street SE, 5th Floor</delPoint>
<city>Washington</city>
<adminArea>DC</adminArea>
<postCode>20003</postCode>
<eMailAdd>dcgis@dc.gov</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(202) 727-2277</voiceNum>
<faxNum>(202) 727-6857</faxNum>
</cntPhone>
<cntHours>8:30 am - 5 pm</cntHours>
</rpCntInfo>
<displayName>Office of the Chief Technology Officer</displayName>
</idPoC>
<resConst>
<LegConsts>
<useLimit>See access and use constraints information.</useLimit>
</LegConsts>
</resConst>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<westBL>-77.115323</westBL>
<eastBL>-76.909574</eastBL>
<northBL>38.995630</northBL>
<southBL>38.803083</southBL>
<exTypeCode>1</exTypeCode>
</GeoBndBox>
</geoEle>
<exDesc>Washington DC</exDesc>
</dataExt>
<dataExt>
<geoEle>
<GeoBndBox>
<exTypeCode>1</exTypeCode>
<westBL>-77.13</westBL>
<eastBL>-76.90</eastBL>
<southBL>38.78</southBL>
<northBL>39.01</northBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<tpCat>
<TopicCatCd value="010"/>
</tpCat>
<tpCat>
<TopicCatCd value="017"/>
</tpCat>
</dataIdInfo>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<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 shapfile 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>Building structures include parking garages, ruins, monuments, and buildings under construction along with residential, commercial, industrial, apartment, townhouses, duplex, etc. Buildings equal to or larger than 9.29 sq m (100 sq feet) will be captured. Firewalls or roof breaks will be digitized to show individual adjacent structures within them, when it can be determined that it is a separate unit, for apartments, townhouses, and duplexes. If there is any uncertainty about individual units, no firewall or roof break will be shown. All buildings must be compiled as complete polygons and squared accordingly. No other feature can make a side for a building. Legacy data in areas without change will not be updated.
For CAPTUREACTION, if a building is new it will be coded as ‘Add’, if the feature changes shape due to renovations it will be coded as ‘Update’, and if it no longer exists it will be coded as ‘Delete’, but the feature will not be deleted. All existing features at the beginning of the project will be populated with ‘Existing’; if a feature is not modified or deleted it will keep the ‘Existing’ value.
Building: Delineate around roof line showing the building "footprint." Roof breaks and rooflines, such as between individual residences in row houses or separate spaces in office structures, will be captured to partition building footprints. This includes capturing all sheds, garages, or other non-addressable buildings over 100 square feet throughout the city. Atriums, courtyards, and other “holes” in buildings created as part of demarcating the building outline will not be part of the building capture. This includes construction trailers greater than 100 square feet.
As a guide, use the ownerply lot lines to assist in delineating roof breaks for those buildings where visual identification is difficult. This layer should be relied on heavily outside the downtown areas to capture roofbreaks. Within the downtown area, ownerply will serve as a guide for areas where roofbreak delineation is not clear. Aerial photography will be used as the primary source.
Memorials: Delineate around roof line showing the building "footprint." A list of memorials will be provided for capture and coding. DC GIS will provide a list of memorials to use as the source.
Bleachers: Delineate around the base of connected sets of bleachers.
Parking Garage: Capture this multi-story structure for parking as a parking garage. Delineate the perimeter of the parking garage including ramps. Parking garages sharing a common boundary with linear features must have the common segment captured once. A parking garage will only be attributes as such if there is rooftop parking. Not all rooftop parking is a parking garage, however. There are structures that only have rooftop parking but serve as a business. Those should be captured as buildings.
Fountains: Delineate around the base of fountain structures.
Canopy Structures: Delineate around the base free standing canopy structures such as solar panels and gas station pump canopies</measDesc>
</report>
<dataLineage>
<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>
<editorSource>external</editorSource>
<editorDigest>166f84e84351cfa0b1988fd4e580009ba9c75a5fae358bebce8e18a01c57764c</editorDigest>
<rpOrgName>EarthData International, Inc</rpOrgName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<eMailAdd>metadata@earthdata.com</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
</rpCntInfo>
<editorSave>True</editorSave>
<displayName>EarthData International, Inc</displayName>
</stepProc>
</prcStep>
<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>
<stepDateTm>2017-05-22T00:00:00</stepDateTm>
<stepProc>
<editorSource>external</editorSource>
<editorDigest>e13978a54f064fbec1f714b8ffaebe650d614c53e32e7431949d6dbf950ad96b</editorDigest>
<rpOrgName>Fugro Geospatial, Inc.</rpOrgName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<eMailAdd>metadata@earthdata.com</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
</rpCntInfo>
<displayName>Fugro Geospatial, Inc.</displayName>
<editorSave>True</editorSave>
<displayName>Fugro Geospatial, Inc.</displayName>
</stepProc>
</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>
<editorSource>external</editorSource>
<editorDigest>e13978a54f064fbec1f714b8ffaebe650d614c53e32e7431949d6dbf950ad96b</editorDigest>
<rpOrgName>Fugro Geospatial, Inc.</rpOrgName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<eMailAdd>metadata@earthdata.com</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
</rpCntInfo>
<displayName>Fugro Geospatial, Inc.</displayName>
<editorSave>True</editorSave>
<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>
<editorSource>external</editorSource>
<editorDigest>e13978a54f064fbec1f714b8ffaebe650d614c53e32e7431949d6dbf950ad96b</editorDigest>
<rpOrgName>Fugro Geospatial, Inc.</rpOrgName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<eMailAdd>metadata@earthdata.com</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
</rpCntInfo>
<displayName>Fugro Geospatial, Inc.</displayName>
<editorSave>True</editorSave>
<displayName>Fugro Geospatial, Inc.</displayName>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>2023 Planimetric Data Capture Update
Digital planimetric mapping was collected in strict accordance with the feature types and formats specified in the RFP. Fugro captured planimetric information using SSK and KLT Atlas workstations. Quality control (QC) and editing tasks are performed in the MicroStation environment with a final review in ArcGIS. Fugro has a proven production workflow that 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, the data was delivered in 2D. Features updated are AIRPLY, BARRIERLN, BLDGPLY, BRGTUNPLY, CURBLN, GEOCONTROLPT, GRATEPT, HYDROLN, OBSAREAPLY, RAILRDLN, RECAREAPLY, ROADPLY, SIDEWALKPLY, ROADWAYCENTERLINELN, SWMPOOLPLY, and WATERPLY. This data went through a pilot and final QA/QC protocol which ensured that the topology was checked and amended if necessary.</stepDesc>
<stepDateTm>2023-03-31T00:00:00</stepDateTm>
<stepProc>
<editorSource>external</editorSource>
<editorDigest>e13978a54f064fbec1f714b8ffaebe650d614c53e32e7431949d6dbf950ad96b</editorDigest>
<rpOrgName>Fugro Geospatial, Inc.</rpOrgName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<eMailAdd>metadata@earthdata.com</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
</rpCntInfo>
<displayName>Fugro Geospatial, Inc.</displayName>
<editorSave>True</editorSave>
<displayName>Fugro Geospatial, Inc.</displayName>
</stepProc>
</prcStep>
<prcStep>
<stepDesc>2025 Planimetric Data Capture Update
Digital planimetric mapping was collected in strict accordance with the feature types and formats specified in the RFP. Fugro captured planimetric information using SSK and KLT Atlas workstations. Quality control (QC) and editing tasks are performed in the MicroStation environment with a final review in ArcGIS. Fugro has a proven production workflow that 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, the data was delivered in 2D. Features updated are AIRPLY, BARRIERLN, BLDGPLY, BRGTUNPLY, CURBLN, GEOCONTROLPT, GRATEPT, HYDROLN, OBSAREAPLY, RAILRDLN, RECAREAPLY, ROADPLY, SIDEWALKPLY, ROADWAYCENTERLINELN, SWMPOOLPLY, and WATERPLY. This data went through a pilot and final QA/QC protocol which ensured that the topology was checked and amended if necessary.</stepDesc>
<stepDateTm>2025-03-27T00:00:00</stepDateTm>
<stepProc>
<editorSource>external</editorSource>
<editorDigest>e13978a54f064fbec1f714b8ffaebe650d614c53e32e7431949d6dbf950ad96b</editorDigest>
<rpOrgName>Fugro Geospatial, Inc.</rpOrgName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>7320 Executive Way</delPoint>
<city>Frederick</city>
<adminArea>MD</adminArea>
<postCode>21704</postCode>
<eMailAdd>metadata@earthdata.com</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">(301)948-8550</voiceNum>
<faxNum>(301)963-2064</faxNum>
</cntPhone>
</rpCntInfo>
<displayName>Fugro Geospatial, Inc.</displayName>
<editorSave>True</editorSave>
<displayName>Fugro Geospatial, Inc.</displayName>
</stepProc>
</prcStep>
</dataLineage>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="BldgPly">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">165326</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="26985"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">4.5(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<eainfo>
<detailed Name="BldgPly">
<enttyp>
<enttypl>DCGIS.BldgPly</enttypl>
<enttypt>Feature Class</enttypt>
<enttypc>166794</enttypc>
<enttypd>Building footprints.</enttypd>
<enttypds>OCTO</enttypds>
</enttyp>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">10</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>SHAPE</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>ESRI</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>FEATURECODE</attrlabl>
<attrdef>Building feature code.</attrdef>
<attrdefs>OCTO</attrdefs>
<attrdomv>
<edom>
<edomv>2000</edomv>
<edomvd>BUILDING</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>2010</edomv>
<edomvd>MEMORIAL</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>2020</edomv>
<edomvd>BLEACHER</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>2030</edomv>
<edomvd>PARKING GARAGE</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>2040</edomv>
<edomvd>FOUNTAIN</edomvd>
<edomvds>OCTO</edomvds>
</edom>
<edom>
<edomv>2050</edomv>
<edomvd>CANOPY STRUCTURE</edomvd>
<edomvds>OCTO</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">Feature Code</attalias>
<attrtype Sync="TRUE">SmallInteger</attrtype>
<attwidth Sync="TRUE">2</attwidth>
<atprecis Sync="TRUE">5</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>DESCRIPTION</attrlabl>
<attrdef>Building description.</attrdef>
<attrdefs>OCTO</attrdefs>
<attalias Sync="TRUE">Description</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>CAPTUREYEAR</attrlabl>
<attrdef>Building capture date.</attrdef>
<attrdefs>OCTO</attrdefs>
<attalias Sync="TRUE">Capture Year</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</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">GLOBALID</attrlabl>
<attalias Sync="TRUE">GLOBALID</attalias>
<attrtype Sync="TRUE">GlobalID</attrtype>
<attwidth Sync="TRUE">38</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>CAPTUREACTION</attrlabl>
<attrdef>Type of edit performed on the feature.</attrdef>
<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>
<attalias Sync="TRUE">Capture Action</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1</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="BldgPly">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">165326</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
</metadata>
