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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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) </SPAN></P><P><SPAN>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. </SPAN></P><P><SPAN>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.). </SPAN></P><P><SPAN>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 </SPAN><SPAN><SPAN>distinguished</SPAN></SPAN><SPAN>easily. </SPAN></P><P><SPAN>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.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

Copyright Text: District of Columbia Office of Planning CyberCity 3D

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Description: The dataset contains constructed unique geospatial identifier for buildings. A buildings UBID is the north axis aligned "bounding box" of its footprint represented as the centroid (in the GDAL grid reference system format), which is represented by the first set of characters before the first dash, and four cardinal extents, which are represented by the four sets of numbers after the first dash (North, East, South, West),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. Please note that the current data set may include some unnecessary structures identified as buildings. These included sheds, overhangs, bus stops, and other structures that do not need to be assigned a UBID. An updated version of the UBID dataset will be released when this issue is resolved. This project is the result of the US DOE Better Buildings Building Energy Data Analysis (BEDA) Accelerator. US DOE is working with stakeholders including state and local governments, commercial and residential building data aggregators, property owners, and product and service providers to develop the UBID system and to pilot it in real-world settings. US DOE and its partners are demonstrating the benefits of UBID in managing and cross-referencing large building datasets and in reducing the costs and enhancing the value proposition of leveraging building energy data. UBIDs 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

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  Color: [0, 0, 0, 255]
  Width: 2
• Value: Ana-2nd
  Label: Ana 2nd Hi/St Elizabeths/290'-308'
  Description: N/A
  Symbol:
  Style: esriSFSSolid
  Color: [92, 156, 60, 255]
  Outline:
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  Color: [0, 0, 0, 255]
  Width: 2
• Value: Ana-1st
  Label: Ana 1st Hi/Ft Stantn/254'-256'
  Description: N/A
  Symbol:
  Style: esriSFSSolid
  Color: [203, 21, 18, 255]
  Outline:
  Style: esriSLSDashDotDot
  Color: [0, 0, 0, 255]
  Width: 2
• Value: Ana-3rd
  Label: Ana 3rd Hi/Tank 2/368'-380'
  Description: N/A
  Symbol:
  Style: esriSFSSolid
  Color: [244, 113, 17, 255]
  Outline:
  Style: esriSLSDashDotDot
  Color: [0, 0, 0, 255]
  Width: 3
Transparency: 0
Labeling Info:
Advanced Query Capabilities:
Supports Statistics: true
Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeNone

Type ID Field: null

Fields:
• OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
• PRESSUREZONE ( type: esriFieldTypeString, alias: PRESSUREZONE, length: 20 )
• COMNT ( type: esriFieldTypeString, alias: COMNT, length: 100 )
• SHAPE ( type: esriFieldTypeGeometry, alias: SHAPE )
• SHAPE.AREA ( type: esriFieldTypeDouble, alias: SHAPE.AREA )
• SHAPE.LEN ( type: esriFieldTypeDouble, alias: SHAPE.LEN )