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This dataset contains polygons representing planimetric roads, 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. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Road edges are defined as the edge of the improved surface including the improved shoulder but do not include the unimproved shoulder, only the travel part of the road. The road network is compiled to include all open intersections. Features do not overlap sidewalks, but have the sidewalk area cut out of the road polygons. Overlapping features are acceptable if one of the features is hidden. Road: A generally named thoroughfare, that is usually paved and can be public or private. Unimproved thoroughfares are excluded. Road polygons are formed by a combination of road edge, curb, sidewalk, street intersection closure line, and map sheet edge. Paved Median Island: Perimeter of non-traffic paved areas that separate traffic lanes in opposing directions. Unpaved Median Island: Perimeter of non-traffic grassy, unpaved areas that separate traffic lanes in opposing directions. Paved Traffic Island: Perimeter of non-traffic concrete areas in the middle of streets designed to segregate traffic flow. This does not include linear barriers, e.g., Jersey barriers, walls or guardrails, or point barriers, such as impact attenuators. Features do not overlap sidewalks. Unpaved Traffic Island: Perimeter of non-traffic unpaved, grassy areas in the middle of streets designed to segregate traffic flow. This does not include linear barriers, e.g., Jersey barriers, walls or guardrails, or point barriers, such as impact attenuators. Features do not overlap sidewalks. Alley: Perimeter of alleys first plotted photogrammetrically from other indicators such as building footprints, fence lines, curb lines, walls, paved or unpaved drives, and map sheet edge. Alley polygons are closed along the lines where they intersect with road polygons. Paved Drive: A paved driveway for a building or entranceway for a parking lot. Driveways are neither streets nor alleys, but provide access to public facilities, such as a drive to a monument, museum, hotel, large estate, sports field or golf course, grounds of the U.S. Capitol, etc. If a driveway is less than 200 feet and leads to a parking lot, the entire paved area is captured as Parking Lot. Driveways are photogrammetrically compiled as polygons and not compiled from individual vectors on different levels. Parking Lot: Generally paved surfaces used for cars to park on. Paved drives usually form entrances to these features, if the drive is more than 200 feet. If the driveway is less than 200 feet leading into the parking lot, the entire paved area is captured as Parking Lot. Parking lots sharing a common boundary with linear features must have the common segment captured once, but coded as both polygon and line. Small parking areas, where individuals park their cars in the middle of a block off a public alley, are not captured as parking lots. These are either public space (e.g., alleys) or private space where owners permit parking to occur. Intersection: A location where more than one road comes together. For standard cross streets, intersection polygons are bounded by curbs and four closure lines at street intersection crosswalks (outer line) or placed arbitrarily where crosswalks could logically be placed. For "T" intersections, the polygons are bounded by curbs and three such closure lines. Complex intersections can have more closure lines. Entire traffic circles are coded as intersections. Hidden Road: A section of a road that passes underneath a bridge or overpass and is not visible in an aerial photograph, but the location can be interpreted based on the road on either side of the bridge. Hidden Median: A road median that exists underneath a bridge or overpass and is not fully visible in an aerial photograph, but the location can be interpreted based on the information visible on either side of the bridge.</SPAN></P></DIV></DIV></DIV> Office of the Chief of Technology Officer Road Casings 2026-02-06T00:00:00 vector digital data Office of the Chief Technology Officer GIS Data Coordinator 200 I Street SE, 5th Floor Washington DC 20003 dcgis@dc.gov US (202) 727-2277 (202) 727-6857 8:30 am - 5 pm Office of the Chief Technology Officer Office of the Chief Technology Officer Office of the Chief Technology Officer alley District of Columbia driveway median OCTO parking lot planimetrics road street Washington DC dc currentplanimetric <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This work is licensed under a </SPAN><A href="https://creativecommons.org/licenses/by/4.0/" STYLE="text-decoration:underline;"><SPAN>Creative Commons Attribution 4.0 International License</SPAN></A><SPAN>.</SPAN></P></DIV></DIV></DIV> ground condition 2025-03-27T00:00:00 ISO 19115 Topic Categories transportation imageryBaseMapsEarthCover District of Columbia Washington DC District of Columbia Office of the Chief Technology Officer GIS Data Coordinator 200 I Street SE, 5th Floor Washington DC 20003 dcgis@dc.gov US (202) 727-2277 (202) 727-6857 8:30 am - 5 pm Office of the Chief Technology Officer Office of the Chief Technology Officer Office of the Chief Technology Officer See access and use constraints information. -77.13 -76.9 39.01 38.78 1 Washington DC Office of the Chief Technology Officer GIS Data Coordinator 200 I Street SE, 5th Floor Washington DC 20003 dcgis@dc.gov US (202) 727-2277 (202) 727-6857 8:30 am - 5 pm Office of the Chief Technology Officer Office of the Chief Technology Officer Office of the Chief Technology Officer 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. Road edges are defined as the edge of the improved surface including the improved shoulder but do not include the unimproved shoulder only the travel part of the road. The road network will be compiled to have all open intersections. Features will not overlap sidewalks, but have the sidewalk area cut out of the road polygons. Overlapping features are acceptable if one of the features is hidden. Legacy data in areas without change will not be updated. Road: A generally named thoroughfare, that is usually paved and can be public or private. Unimproved thoroughfares are excluded. Capture the perimeter of roads and ramps, exclusive of median strips and traffic islands. Road polygons are formed by a combination of road edge, curb, sidewalk, street intersection closure line and map sheet edge. Paved Median Island: Perimeter of non-traffic paved areas that separate traffic lanes in opposing directions. Unpaved Median Island: Perimeter of non-traffic grassy, unpaved areas that separate traffic lanes in opposing directions. Paved Traffic Island: Perimeter of non-traffic concrete areas in the middle of streets designed to segregate traffic flow. This does not include linear barriers, e.g., Jersey barriers, walls or guardrails, or point barriers, such as impact attenuators. Features will not overlap sidewalks. Major traffic circles will not be coded as traffic circles. DC GIS will provide a list. See Figure 3. Unpaved Traffic Island: Perimeter of non-traffic unpaved, grassy areas in the middle of streets designed to segregate traffic flow. This does not include linear barriers, e.g., Jersey barriers, walls or guardrails, or point barriers, such as impact attenuators. Features will not overlap sidewalks. Major traffic circles will not be coded as traffic Alley: Perimeter of alleys first plotted photogrammetrically from other indicators such as building footprints, fence lines, curb lines, walls, paved or unpaved drives, and map sheet edge. Alley polygons are closed along the lines where they intersect with road polygons. Paved Drive: A paved driveway for a building or entranceway for a parking lot. Delineate the perimeter of all driveways greater than 200 feet throughout the City and smaller driveways within the Monumental Core only. Driveways are neither streets nor alleys, but provide access to public facilities, such as a drive to a monument, museum, hotel, large estate, sports field or golf course, grounds of the U.S. Capitol, etc. Do not capture private driveways that are less than 200 feet in length. If the driveway is less than 200 feet and leads to a parking lot, the entire paved area will be captured as Parking Lot. Driveways will be photogrammetrically compiled as polygons and not compiled from individual vectors on different levels. Parking Lot: Generally paved surfaces used for cars to park on. Paved drives usually form entrances to these features, if the drive is more than 200 feet. If the driveway is less than 200 feet leading into the parking lot, the entire paved area will be captured as Parking Lot. Delineate the outline of the parking lot. The curb need not be distinguished. Parking lots sharing a common boundary with linear features must have the common segment captured once, but coded as both polygon and line. Distinguish paved from unpaved. Small parking areas, where individuals park their cars in the middle of a block off a public alley, will not be captured as parking lots. These are either public space (e.g., alleys) or private space where owners permit parking to occur. Intersection: A location where more than one road comes together. Intersections will be captured in an opened fashion, as illustrated in Figure 3 and Figure 4 if the intersection is in a traffic circle. For standard cross streets, intersection polygons are bounded by curbs and four closure lines at street intersection crosswalks (outer line) or placed arbitrarily where crosswalks could logically be placed. For "T" intersections, the polygons are bounded by curbs and three such closure lines. Complex intersections could have more closure lines. Entire traffic circles will be coded as intersections. Hidden Road: A section of a road that passes underneath a bridge or overpass and is not visible in an aerial photograph, but the location can be interpreted based on the road on either side of the bridge. Capture the perimeter of roads that are obscured by overpasses or tunnels. Hidden Median: A road median that exists underneath a bridge or overpass and is not fully visible in an aerial photograph, but the location can be interpreted based on the information visible on either side of the bridge. Capture the perimeter of medians that are obscured by overpasses or tunnels. 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. 2016-03-28T00:00:00 EarthData International, Inc 7320 Executive Way Frederick MD 21704 metadata@earthdata.com US (301)948-8550 (301)963-2064 EarthData International, Inc 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. 2017-05-22T00:00:00 Fugro Geospatial, Inc. 7320 Executive Way Frederick MD 21704 metadata@earthdata.com US (301)948-8550 (301)963-2064 Fugro Geospatial, Inc. Fugro Geospatial, Inc. 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. 2019-04-23T00:00:00 Fugro Geospatial, Inc. 7320 Executive Way Frederick MD 21704 metadata@earthdata.com US (301)948-8550 (301)963-2064 Fugro Geospatial, Inc. Fugro Geospatial, Inc. 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. 2021-03-11T00:00:00 Fugro Geospatial, Inc. 7320 Executive Way Frederick MD 21704 metadata@earthdata.com US (301)948-8550 (301)963-2064 Fugro Geospatial, Inc. Fugro Geospatial, Inc. 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. 2023-03-31T00:00:00 Fugro Geospatial, Inc. 7320 Executive Way Frederick MD 21704 metadata@earthdata.com US (301)948-8550 (301)963-2064 Fugro Geospatial, Inc. Fugro Geospatial, Inc. 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. 2025-03-27T00:00:00 Fugro Geospatial, Inc. 7320 Executive Way Frederick MD 21704 metadata@earthdata.com US (301)948-8550 (301)963-2064 Fugro Geospatial, Inc. Fugro Geospatial, Inc. 40667 DCGIS.RoadPly Feature Class 40962 Road features. OCTO OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 SHAPE Feature geometry. ESRI Coordinates defining the features. Shape Geometry 8 0 0 DESCRIPTION Description String 50 0 0 CAPTUREYEAR Capture Year Date 8 0 0 CAPTUREACTION Capture Action String 1 0 0 SE_ANNO_CAD_DATA SE_ANNO_CAD_DATA Blob 0 0 0 GLOBALID GLOBALID GlobalID 38 0 0 FEATURECODE Feature code. OCTO 1050 ROAD OCTO 1055 PAVED MEDIAN ISLAND OCTO 1056 PAVED TRAFFIC ISLAND OCTO 1057 UNPAVED TRAFFIC ISLAND OCTO 1058 UNPAVED MEDIAN ISLAND OCTO 1060 ALLEY OCTO 1065 PAVED DRIVE OCTO 1070 PARKING LOT OCTO 1090 INTERSECTION OCTO 1091 HIDDEN ROAD OCTO 1092 HIDDEN MEDIAN OCTO Feature Code SmallInteger 2 5 0 SHAPE.AREA SHAPE.AREA Double 0 0 0 SHAPE.LEN SHAPE.LEN Double 0 0 0 EPSG 4.5(3.0.1) Simple FALSE 40667 TRUE FALSE