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8:30 am - 5 pm GIS Data Coordinator True Office of the Chief Technology Officer DC datasets can be downloaded from "https://opendata.dc.gov/". Building Footprints 2015-04-24T00:00:00 2016-03-28T00:00:00 2022-02-04T00:00:00 vector digital data external 8917b1741c54c0b34d3ab479b495660429cdd4ac Office of the Chief Technology Officer (202) 727-5660 (202) 727-2277 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm GIS Data Coordinator True Office of the Chief Technology Officer <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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.</SPAN></P><P><SPAN>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.</SPAN></P><P><SPAN>Memorials are delineated around a roof line showing the building "footprint."</SPAN></P><P><SPAN>Bleachers are delineated around the base of connected sets of bleachers.</SPAN></P><P><SPAN>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.</SPAN></P><P><SPAN>Fountains are delineated around the base of fountain structures.</SPAN></P></DIV></DIV></DIV> 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, and 2021. Office of the Chief of Technology Officer building District of Columbia OCTO planimetrics structure Washington DC District of Columbia Washington DC 2021-03-11T00:00:00 ground condition external 8917b1741c54c0b34d3ab479b495660429cdd4ac Office of the Chief Technology Officer (202) 727-5660 (202) 727-2277 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm GIS Data Coordinator True Office of the Chief Technology Officer <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This work is licensed under a </SPAN><A href="https://creativecommons.org:443/licenses/by/4.0/" STYLE="text-decoration:underline;"><SPAN>Creative Commons Attribution 4.0 International License</SPAN></A><SPAN>.</SPAN></P></DIV></DIV></DIV> Esri ArcGIS 13.0.3.36057 1 -77.13 -76.90 39.01 38.78 external 8917b1741c54c0b34d3ab479b495660429cdd4ac Office of the Chief Technology Officer (202) 727-5660 (202) 727-2277 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm GIS Data Coordinator True Office of the Chief Technology Officer external 8917b1741c54c0b34d3ab479b495660429cdd4ac Office of the Chief Technology Officer (202) 727-5660 (202) 727-2277 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm GIS Data Coordinator True Office of the Chief Technology Officer 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 metadata@earthdata.com 7320 Executive Way Frederick MD 21704 US (301)948-8550 (301)963-2064 8:30 Am - 5:00 PM Mon - Fri 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). Aerial Photography of Washington, D.C. 2015-04-24T00:00:00 ground condition 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 US (301)948-8550 (301)963-2064 EarthData International, 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 US (301)948-8550 (301)963-2064 EarthData International, 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. Fugro Geospatial. Inc. 7320 Executive Way Frederick MD 21704 US (301)948-8550 (301)963-2064 Fugro Geospatial. Inc. 2021-03-11T00:00:00 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. 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. 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 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. 0 EPSG 4.5(3.0.1) BldgPly_2021 Feature Class 0 Building footprints. OCTO OBJECTID OBJECTID Internal feature number. ESRI OID 4 10 0 Sequential unique whole numbers that are automatically generated. SHAPE SHAPE Feature geometry. ESRI Geometry 8 0 0 Coordinates defining the features. GIS_ID GIS_ID OCTO GIS sequential identifier. String 50 0 0 OCTO FEATURECODE FEATURECODE Building feature code. SmallInteger 2 5 0 OCTO 2000 BUILDING OCTO 2010 MEMORIAL OCTO 2020 BLEACHER OCTO 2030 PARKING GARAGE OCTO 2040 FOUNTAIN OCTO DESCRIPTION DESCRIPTION Building description. String 50 0 0 OCTO CAPTUREYEAR CAPTUREYEAR Building capture date. Date 8 0 0 OCTO CAPTUREACTION CAPTUREACTION Type of edit performed on the feature. String 1 0 0 A Add OCTO D Delete OCTO E Existing OCTO U Update OCTO OCTO DCGIS_BLDGPLY_AREA DCGIS.BldgPly.AREA Double 8 38 8 SE_ANNO_CAD_DATA SE_ANNO_CAD_DATA Blob 0 0 0 SHAPE.AREA SHAPE.AREA Double 0 0 0 SHAPE.LEN SHAPE.LEN Double 0 0 0 Simple FALSE 0 TRUE FALSE