20240621
15365700
1.0
FALSE
ParkingLot2022
3027872.005410
3133386.530929
1573216.641093
1764435.984703
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' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS["NAD_1983_StatePlane_Colorado_Central_FIPS_0502_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",3000000.000316083],PARAMETER["False_Northing",999999.999996],PARAMETER["Central_Meridian",-105.5],PARAMETER["Standard_Parallel_1",38.45],PARAMETER["Standard_Parallel_2",39.75],PARAMETER["Latitude_Of_Origin",37.83333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2232]]</WKT><XOrigin>-118767900</XOrigin><YOrigin>-94525500</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102654</WKID><LatestWKID>2232</LatestWKID></ProjectedCoordinateSystem>
20240621
18015600
20240621
18015600
1200
1200
FGDC
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
20240621
ArcGIS Metadata
1.0
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
Contact resellers
Order from either Map Mart or Colorado Aerial Photo Service
Geodatabase
ArcGIS 10.1
ESRI
File Geodatabase Feature Class
Parking Lot 2022
2023-01-01
1.0
Denver Regional Council of Governments (DRCOG)
Denver Regional Council of Governments
Denver, CO
vector digital data
DRCOG Planimetric Project
2022
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Parking lots delineated from 2022 aerial imagery. CAPTURE CRITERIA: Parking polygons are compiled in 2D. This feature includes outlines of paved, impervious parking lots with an area greater than or equal to 400 square feet. The entrance into the lot is included and the feature connects to adjacent roads. Pervious features within parking lots (i.e. islands) that are greater than or equal to 50 square feet are captured. This layer does not include on-street parking or parking garages (the latter are captured by the building roofprints layer). When sidewalk polygons meet a parking apron, the sidewalk breaks and the parking polygon continues, unless the sidewalk visibly crosses the parking area. Dumpster areas in the parking lot are included. ATTRIBUTION: Unique ID, Type (Impervious, Pervious, Mixed) 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></DIV>
Parking lots 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
ISO 19115 Topic Categories
transportation
Aerial Imagery
Transportation
Built Environment
Vector Data
Softcopy Stereocompilation
Land Use
Digital Aerial Image
Parking
DRCOG
Regional Planimetrics
Broomfield County
Transportation
Denver
Built Environment
Adams County
Vector Data
Colorado
Arapahoe County
Douglas County
Softcopy Stereocompilation
Land Use
Digital Aerial Image
Parking
transportation
DRCOG
Denver County
Regional Planimetrics
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><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></DIV>
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
-105.401462
-104.401698
39.327706
40.211007
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
-105.401358
-105.024391
39.932147
39.406287
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 parking vector features.
There are no Attributes in this data set.
The horizontal accuracy of the delivered Parking Polygons 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 parking polygons were digitized in 2D from the aerial imagery and have no vertical attribute of accuracy value associated with X and Y values.
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
parking_poly
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
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 polygons intersect project boundary the polygons are left whole.
2023-01-01
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
23406
ParkingLot2022
Outline of paved, impervious surface parking lots with an area >=400 sqft.
DRGOG
Feature Class
23406
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
Places where you can actually park. Medians covered in grass. Medians that have both pervious and impervious cover.
comments
String
254
0
0
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
0
0
Type
The type of feature that is delineated.
DRCOG
"Impervious", "Pervious", "Mixed"
Type of surface
DRCOG
type
String
254
0
0
Unique_ID
Unique ID, can be randomly generated
DRCOG
Unique ID assigned to individual features
Unique ID assigned to individual features
DRCOG
unique_id
Double
8
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
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
CreateUser
Vendor name
DRCOG
Kucera International, Inc.
Name of vendor creating the entity feature
DRCOG
createuser
String
254
0
0
SHAPE
Feature geometry.
Esri
Coordinates defining the features.
Shape
Geometry
0
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
23406
TRUE
FALSE
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