20240614 15103500 1.0 FALSE BuildingRoofprint2022 3027783.072517 3132339.435582 1571527.859694 1763457.249784 1 002 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Colorado_Central_FIPS_0502_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' 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digital data DRCOG Planimetric Project 2022 <DIV STYLE="text-align:Left;"><DIV><P><SPAN>Building roofprints delineated from 2022 aerial imagery. CAPTURE CRITERIA: Building roofprint polygons are stereocompiled in 3D. Outlines of permanent, visible structures are captured at the corners of the roof (eave). Buildings with area greater than or equal to 48 square feet and over 5 feet in height are collected. Arms and indentations must be 2.5 feet or greater to be captured. Canopies, carport covers, and sheds are included. For multi-level commercial and/or industrial buildings, each level is captured as a unique record if the building is greater than or equal to 1000 square feet and the multi-level roof levels are greater than or equal to 400 square feet in area and over 5 feet in height. Each polygon is a separate record. Polygons that are part of the same building have the same building ID. For pitched roofs, the highest point is used to determine the building height. The lowest point is the common lowest point if the building is multi-level. ATTRIBUTION: Unique ID, Height (feet), Ground Elevation (feet), Building Type (Residential, Commercial, Industrial, Medical, Public, Garage/Shed, Parking Structure, Tank, Foundation/Ruin, Miscellaneous). Building addresses are available for project partners, courtesy of BuildingFootprintsUSA. CHANGE FEATURES: This dataset is an update to previously collected data. Features were originally delineated from 2014 aerial imagery, updated in 2016, 2018, 2020, and then again in 2022 to create this dataset. Examples of change that are captured include but are not limited to: new features, change in attribution, and modifications that reach or exceed the threshold for initial collection of this feature. Additions refer not only to truly new features in the built environment but also to features that are added based on a larger extent of capture. Please refer to extent shapefiles for 2014, 2016, 2018, 2020, and 2022 feature captures before doing change analysis. Modifications are marked even if only a small portion of the feature has been changed. A separate change layer is available to show only those features that were delineated in 2022. SOURCE DATA: This feature was compiled from DRCOG 2022 Denver Regional Aerial Photography Project (DRAPP) imagery. This imagery is 4-band RGBIR color orthoimagery with a GSD (Ground Sample Distance) of 0.5 foot for 3-inch imagery, 1 foot for 6-inch imagery, and 2 feet for 12-inch imagery. Imagery was collected in the spring with a Vexcel Ultracam Eagle aerial sensor. Horizontal and vertical datums are NAD83(11) and NAVD88(GEOID12A), respectively.</SPAN></P><P><SPAN>Data were processed to a one mile extent of Jefferson County, Colorado by the Jefferson County Business Innovation and Technology GIS division.</SPAN></P><P><SPAN>Data are in State Plane Grid Coordinates, Colorado Central Zone, NAD83 (US feet).</SPAN></P></DIV></DIV> Building roofprints delineated from 2022 aerial imagery within one mile of Jefferson County, Colorado. Ashley Summers Denver Regional Council of Governments (DRCOG) Information Systems Manager 303 455-1000 303 480-6790 1001 17th Street Denver CO 80202 U.S. geospatial@drcog.org 8am to 5pm US Mountain Time DRCOG Broomfield County Denver Adams County Colorado Arapahoe County Douglas County Denver County Boulder County Jefferson County Aerial Imagery Land Use Softcopy Stereocompilation Digital Aerial Image DRCOG Built Environment Building Roofprint Regional Planimetrics Vector Data Broomfield County Land Use Denver Adams County Colorado Arapahoe County Douglas County Softcopy Stereocompilation Digital Aerial Image DRCOG Built Environment Denver County Building Roofprint Regional Planimetrics Vector Data Boulder County Jefferson County This data is intended for informational purposes only. DRCOG provides this information on an "as is" basis and makes no guarantee, representation or warranty, either express or implied, that the data will be error free. DRCOG further makes no guarantees, representations or warranties, either express or implied, as to the completeness, accuracy or correctness of the data, or as to merchantability or fitness of the data for a particular use or purpose. DRCOG is not responsible to any user for any costs, expenses, liabilities or damages arising from inconsistencies in its data or from any use of the information. Contact DRCOG <DIV STYLE="text-align:Left;"><DIV><P><SPAN>This data is provided for free public download from DRCOG’s Regional Data Catalog. Please see the terms and conditions on the site for more information about use. THE DATA PROVIDED BY DRCOG IS ON AN “AS IS” BASIS. DRCOG MAKES NO REPRESENTATIONS OR WARRANTY AS TO THE COMPLETENESS, ACCURACY, TIMELINESS, OR CONTENT OF ANY DATA MADE AVAILABLE THROUGH THIS SITE. DRCOG EXPRESSLY DISCLAIMS ALL WARRANTIES, WHETHER EXPRESS OR IMPLIED, INCLUDING ANY IMPLIED WARRANTIES OF MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.</SPAN></P><P><SPAN>Jefferson County offers this service for informational purposes only and assumes no liability whatsoever associated with the use or misuse of this data. This data is provided "as is". Jefferson County disclaims all representations and warranties expressed or implied, including without limitation all representations and warranties as to the completeness, accuracy, correctness, merchantability and fitness for a particular purpose of any data and any and all warranties of title related thereto.</SPAN></P></DIV></DIV> Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 -105.401803 -104.370253 39.308605 40.212804 Ground condition 2022-03-25 2022-08-09 ```The 2022 Regional Planimetric Project was funded by Arapahoe County, City and County of Denver, Jefferson County, City of Arvada, City or Aurora, Town of Bennett, City of Boulder, Town of Castle Rock, City of Dacono, Town of Erie, Town of Frederick, City of Golden, City of Greenwood Village, City of Littleton, Town of Morrison, City of Wheat Ridge, South Metro Fire Rescue, Mile High Flood District, Prospect Recreation and Park District, and the Denver Regional Council of Governments. 1 -105.401679 -105.028142 39.929461 39.401665 Denver Regional Council of Governments (DRCOG); Jefferson County Business Innovation and Technology GIS Compliance with the collection and accuracy standard was ensured by the placement of GPS ground control prior to the acquisition of aerial imagery. A softcopy aerotriangulation adjustment is performed on the aerial imagery is Leica XPro software. Accuracy of the stereo compiled features is a function of the aerotriangulation accuracy as summarized by the X, Y, Z RMSE statistics of the ground control points. Completeness is ensured in the final vector editing process by comparison to the 2022 digital orthoimages as a backdrop to the building roofprint vector features. There are no Attributes in this data set. The horizontal accuracy of the delivered Building Footprint features is dependent upon the quality of the aerotriangulation (AT) bundle adjustment which georeferences the aerial imagery from which features are mapped. DRCOG stated accuracy requirement is National Map Accuracy Standard (NMAS) for 1"=100' scale mapping. NMAS accuracy for map scales larger than 1:20000 horizontal tolerance is 1/30" for 90% of well defined points. The horizontal component of the AT meets or exceeds accuracy standards in accordance with Geospatial Positioning Accuracy Standards Part 3: National Standard for Spatial Data Accuracy (NSSDA), FGDC-STD-007.3-1998. The vertical accuracy of the delivered Building Footprint features is a dependent upon the quality of the aerotriangulation (AT) bundle adjustment which georeferences the aerial imagery from which features are mapped. DRCOG stated accuracy requirement is National Map Accuracy Standard (NMAS) for 1"=100' scale mapping. Vertical NMAS accuracy for map scales suitable for 2' contour mapping is defined as one half the contour interval or 1' for 90% of well defined points. The vertical component of the AT meets or exceeds accuracy standards in accordance with Geospatial Positioning Accuracy Standards Part 3: National Standard for Spatial Data Accuracy (NSSDA), FGDC-STD-007.3-1998. The map editing process performs the same two functions for the planimetric and topographic data, which is; 1. to check the data for accuracy, and 2. make the mapping more aesthetically pleasing and easy to work with. The various map features are assigned unique digital layers according to Kucera's general layering scheme (or a more "custom" layering scheme if specified by the client). "Layering" meaning the separation of like features to a unique digital level that can be viewed, located, counted or otherwise manipulated to the exclusion of other features/levels. Planimetrically, a good example of the layering system would be that all of the major buildings such as houses and commercial buildings be placed on their own layer named something like "BUILDINGS" so they can more easily be viewed or worked separately from more inconsequential structures such as small storage buildings or sheds that would be own their own layer named "MINOR BUILDINGS" or whatever the client would like those particular layers named. Other planimetric examples of the use of layering would be the use of separate digital layers to differentiate paved roads from unpaved roads, treelines from brushlines, ditches from streams, etc. The finished mapping is then usually gridded, the appropriate title block information is added (info regarding the scale, contour interval, mapping location, client name, date of photography or Lidar collection, etc...), translated from Kucera's in-house editing software - primarily VrOne - into the digital format and layering scheme requested by the client (usually AutoCAD and/or ESRI) and delivered to the client on a DVD or by means of electronic delivery (email or posting to the FTP site for the client to download). Edited Planimetric/Topographic Mapping BLDG ROOFPRINTS 1.0 Kucera International Inc. None None DWG, Geodatabase Ground condition 2023-01-01 The aerial imagery was captured by Sanborn using a Vexcel Ultracam Eagle aerial sensor. This imagery is owned and provided to Kucera by DRCOG. 1200 Aerial imagery IMG 1.0 None None Sanborn raster digital data Ground condition 2022-03-25 2022-08-09 Aerotriangulated digital aerial imagery is used to compile surface planimetric features in a softcopy stereo environment. Software used are BAE SocetSet, ZI SSK and Cardinal VROne. 1200 Aerial imagery IMG 1.0 None None Sanborn raster digital data Ground condition 2022-03-25 2022-08-09 New digital aerial imagery captured by Sanborn to provide stereo coverage of the project area in the desired coordinate system and datums. This imagery is owned and provided to Kucera by DRCOG. See orthoimage metadata for collection and processing details. 2022-01-01 Planimetric feature collection is performed in one or more of BAE SocetSet, ZI SSK, Cardinal VROne softcopy digital stereoscopic compilation workstations. 2023-01-01 DWG files translated to ESRI Geodatabase format. 2023-01-01 VrOne files translated to DWG format. 2023-01-01 Editing of compiled features takes place in VrOne environment. Editing consists of layering validation, duplicate point removal, trimming lines, closing of polygons, etc. Vectors are compared to ortho product to validate geometric accuracy. All compilation is cut to project boundary. Where building polygons that intersect project boundary the buildings are left whole. 2023-01-01 420175 BuildingRoofprint2022 Outlines of permanent visible structures captured at the corners of the roof (eave) DRGOG Feature Class 420175 Source Description of how the building type was determined DRCOG Visual, IG Data, Zoning Data, Other (describe) Source of building identification DRCOG source String 254 0 0 CreateUser Vendor name DRCOG Kucera International, Inc. Name of vendor creating the entity feature DRCOG createuser String 254 0 0 CreateDate Date attribute is created. DRCOG mm/dd/yyyy Month, day and year the feature entity is created DRCOG createdate Date 8 0 0 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 0 0 Bldg_Type The type of building, determined by 1) visual inspection, 2) IG data, 3) zoning data 4) other DRCOG Residential, Commercial, Industrial, Medical, Public, Garage/shed, Parking Structure, Tank, Foundation/Ruin, Misc. Building types DRCOG bldg_type String 254 0 0 Update_Status Description of how the existing 2020 feature has been updated. Example - features collected in 2022 that were not collected in the 2020 data are given the value "Add". Kucera Add, Delete, Modify, No change Status of feature update Kucera update_status String 254 0 0 Bldg_Height Height of building roofprint above terrain DRCOG feet Height of building roofprint above terrain DRCOG bldg_height Integer 4 0 0 Comments Text that explains anything a user needs to know to interpret how or why the feature was delineated, if not obvious according to the capture criteria. DRGOG Residential includes apartment complexes. Schools and churches are public. Buildings under construction, foundations, and ruins will not have heights. MISC should only be used when there are no other options. comments String 254 0 0 Ground_Elevation Elevation of terrain at the building roofprint DRCOG feet Elevation of terrain at the building roofprint DRCOG ground_elevation Integer 4 0 0 SHAPE Feature geometry. Esri Coordinates defining the features. Shape Geometry 0 0 0 Building_ID Unique ID, can be randomly generated DRCOG Unique ID assigned to individual roofprints Unique ID assigned to individual roofprints DRCOG building_id Double 8 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. dataset EPSG 5.3(9.0.0) Simple FALSE 420175 TRUE FALSE