Description: 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.
Copyright Text: Office of the Chief of Technology Officer
Description: 3D buildings. This dataset is a 3D building multipatch created using lidar point cloud bare earth points and building points to create a normalized data surface. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.
Copyright Text: Office of the Chief Technology Officer
Description: This dataset contains 3D buildings for the District of Columbia in ESRI multipatch format. It includes structures originally captured from 2005 aerial imagery together with updates based on 2010 and 2013 aerial imagery. It was produced under contract to the District of Columbia by CyberCity3D, Inc. using stereo imagery and a proprietary extraction process that identifies roof polygon points and then creates entire structures from them by relating the roof polygons to an underlying Digital Elevation Model (2005 DEM developed by Earthdata) This dataset is an update to a previous 3D dataset produced in 2006 using 2005 imagery. It specifically includes updates to buildings identified in the course of the District of Columbia’s separate planimetric update effort, which noted structures known that were added, modified between or deleted between 2008 and 2010. Although it was intended to capture all new buildings irrespective of whether or not they were identified through the planimetric update process, it is likely that building changes not identified through the planimetric update process may not have been captured. It also uses an updated production process that addresses base elevation errors in the earlier product, where some buildings appeared to be taller than they were because the earlier production process had left them floating above the desired surface and this had been corrected by extending the walls of those structures down to the desired surface. This dataset contains full buildings (including facades and detailed rooftops. There were also additional datasets delivered which broke out those elements into separate facades, complete roofs, and roof elements (protruding gabled windows, chimneys, elevator utility rooms, etc.). In many instances, row-houses and other contiguous buildings could not be broken apart using the process methodology and appear as a single structure. In some cases, entire blocks of row houses are represented as a single feature, though visually they can be distinguishedeasily. Many data gaps in the earlier dataset (largely due to missing or reduced-resolution source imagery) are corrected in this product. Based on comparison to DC’s available planimetric datasets, there are still instances where particular structures are omitted or not updated in the current product, but we believe that upwards of 99% of the District’s buildings are reflected in this dataset.
Copyright Text: District of Columbia Office of Planning
CyberCity 3D
Description: This dataset contains 3D rooftops for the District of Columbia in ESRI multipatch format. It includes structures originally captured from 2005 aerial imagery together with updates based on 2010 and 2013 aerial imagery. It was produced under contract to the District of Columbia by CyberCity3D, Inc. using stereo imagery and a proprietary extraction process that identifies roof polygon points and then creates entire structures from them to form roof polygons.Attributes containing roof height, slope and orientation are included. This dataset is an update to a previous 3D dataset produced in 2006 using 2005 imagery. It specifically includes updates to building rooftops identified in the course of the District of Columbia’s separate planimetric update effort, which noted structures known that were added, modified between or deleted between 2008 and 2010. Although it was intended to capture all new buildings irrespective of whether or not they were identified through the planimetric update process, it is likely that building rooftop changes not identified through the planimetric update process may not have been captured. This dataset contains full rooftops, including protrusions such as gabled windows, chimneys, elevator utility rooms, etc.. There were also additional datasets delivered which broke out those roof elements into separate files, as well as deliveries which included complete 3D buildings with rooftops and facades. In many instances, row-houses and other contiguous building rooftops could not be broken apart using the process methodology and appear as a single structure. In some cases, entire blocks of row houses are represented as a single feature, though visually they can be distinguished easily. Additionally, the process captured small features, such as canopy umbrellas and other structures as building rooftops and these features may exist at various locations in the dataset.Many data gaps in the earlier dataset (largely due to missing or reduced-resolution source imagery) are corrected in this product. Based on comparison to DC’s available planimetric datasets, there are still instances where particular structures are omitted or not updated in the current product, but we believe that upwards of 99% of the District’s buildings are reflected in this dataset.
Copyright Text: District of Columbia Office of Planning
CyberCity 3D
Description: Grate: A single point capture for the feature at the visual center point. Grates are structures of parallel or crossed bars, used to cover steam vents or other ventilation features for buildings, and also include grates for DC Metro ventilation. They typically occur on sidewalks. Storm water inlets are not included.
Copyright Text: Office of the Chief of Technology Officer
Description: Miscellaneous Polygon (statues, planters, benches, Bollard, etc). Contract NCPC 93-02. This document describes the planimetric map production for the 350 tiles located in Washington DC and the surrounding states of MD and VA.
Copyright Text: DC Office of the Chief Technology Officer
Description: All public walkways are captured. Sidewalks do not overlap other feature classes unless they are hidden under a bridge or overpass. Cement pads around public swimming pools are captured. Walkways in common areas of apartments, college campuses, and business parks are captured as sidewalks. Individual resident sidewalks are not captured. Sidewalk: Sidewalks either compiled photogrammetrically as polygons or derived from a combination of vectors including: curbs, buildings, walls, driveways, or other features. Any stair feature that is less than 5 stairs is coded as sidewalk to maintain continuity. Hidden Sidewalk: Sidewalks that are obscured by overpasses or tunnels. They are not fully visible in an aerial photograph, but the location can be interpreted based on the information visible on either side of the bridge. Stairs: Groups of 5 or more stairs outside of major buildings or monuments, as well as part of sidewalks. Individual stairs are not captured. If landings exist within stairs, they are captured as sidewalk, not stairs. Crosswalk: Marked crosswalks that are fully visible in an aerial photograph.
Copyright Text: Office of the Chief of Technology Officer
Description: SARA Title III Hazardous Material locations (above ground). The dataset contains locations and attributes of Hazardous Materials, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A dataset listing provided by DC FEMS identified above ground Hazardous Material locations. The dataset provides and standardized address generated during geocoding as well as the original source address information. In addition, attibute information also includes points of contact information for each site listing. METADATA CONTENT IS IN PROCESS OF VALIDATION AND SUBJECT TO CHANGE.
Copyright Text: DC FEMS - Fire Prevention Division - Hazmat Inspections Branch
Description: Underground Storage Tank (UST) locations. The dataset contains locations and attributes of Underground Storage Tanks, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by the Department of Energy and Environment identified Underground Storage Tank locations.The Underground Storage Tank (UST) branch's services protects human health and the environment from the adverse effects of petroleum, petroleum-related products and hazardous materials from USTs in the District of Columbia. This branch is organized into two programs: Underground Storage Tanks (UST) and Leaking Underground Storage Tanks (LUST).For additional information including laws, regulation and other documents visit: https://doee.dc.gov/service/underground-storage-tank-program.
Copyright Text: Department of Energy and Environment
Description: The dataset contains locations and attributes of GSA owned or leased buildings, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by GSA identified Federal locations and DC GIS staff geo-processed the data.
Description: Underground Storage Tank (UST) locations. The dataset contains locations and attributes of Underground Storage Tanks, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by the Environmental Health Administration - DC Underground Storage Tanks Management identified Underground Storage Tank locations. The Underground Storage Tank (UST) branch’s services protects human health and the environment from the adverse effects of petroleum, petroleum-related products and hazardous materials from USTs in the District of Columbia. This branch is organized into two programs: Underground Storage Tanks (UST) and Leaking Underground Storage Tanks (LUST). For additional information including laws, regulation and other documents visit: https://doee.dc.gov/service/underground-storage-tank-program
Copyright Text: Department of Energy and Environment
Description: The dataset contains constructed unique geospatial identifier for buildings. A building’s UBID is the north axis aligned "bounding box" of its footprint represented as the centroid (in grid reference system format) and four cardinal extents. The data has been constructed by spatially joining the latest (2019) building footprints published in DC Open Data with the Common Ownership Lot shapefile. The UBIDs were coded using US DOE’s Implementation code. For more information regarding UBIDs please visit: https://www.energy.gov/eere/buildings/unique-building-identifier-ubid.
Copyright Text: District of Columbia Department of Energy & Environment