20240614
16074700
1.0
FALSE
SidewalkCenterline2022
3027872.005410
3132534.883354
1573395.686667
1763368.113480
1
002
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Colorado_Central_FIPS_0502_Feet
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20240621
18015400
20240621
18015400
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
Sidewalk Centerline 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>Paved sidewalk centerlines delineated from 2022 aerial imagery. CAPTURE CRITERIA: Sidewalk centerlines are compiled in 2D. This feature includes paved sidewalks, paved trails, painted crosswalks, and suggestions of network features that may be missing. Features with width greater than 3 feet are included. Sidewalks are defined as paved paths for pedestrians, "Point A to Point B" use. Trails are defined as paved walkways intended for recreational purposes. This layer includes all public sidewalks (e.g. adjacent to public buildings, schools, roads, and commercial buildings, or maintained by a public entity) and public trails (e.g. in public parks, maintained by a public entity). This feature does not include private sidewalks (i.e. serving individual residences, contained within campuses, malls, apartment complexes, mobile home parks, or commercial complexes) except where the sidewalk maintains connectivity with the public sidewalk network. If the sidewalk widens and the centerline shifts, a "jig" is created to keep the centerline connected. The sidewalk does not stop at intersections, at parking aprons or at driveways, but these areas are delineated as separate segments within the line feature and attributed differently (e.g. for sidewalk centerlines meeting a parking apron, the portion of the sidewalk centerline within the apron is a different line segment and is attributed as an "other path.”) If the sidewalk crossing the parking lot is visually apparent, the sidewalk centerline continues unbroken but if not, the parking apron supersedes. For sidewalk centerlines meeting a driveway apron, the sidewalk supersedes. One intended use of this dataset is routing and modeling of pedestrian trips. Covered walkways near transit-oriented development areas are included even though the actual path cannot be seen from the imagery. ATTRIBUTION: Unique ID, Type (Sidewalk, Crosswalk, Possible Missing Sidewalk, Possible Missing Crosswalk, Other Path, Best Fit Line). A "sidewalk" is a paved path for pedestrians; most often on the side of the road. A “crosswalk" is a marked (painted) part of the paved road where pedestrians have right of way to cross. Crosswalks within parking lots are not included. A “possible missing sidewalk” is an area on the side of a road where a sidewalk appears to be missing. An indication of a missing sidewalk would be existing sidewalks in the surrounding blocks. This feature should not be paved and should not cross the road. Segments with this attribution can be delineated up to 650 feet to maintain connectivity in the layer. A “possible missing crosswalk” is a crossing of a major street that doesn’t currently have crosswalk paint markings. Major streets are indicated by road surface markings. Segments with this attribution can be delineated up to the width of the street to maintain connectivity in the layer. An “other path” is a line segment that doesn’t meet criteria for the other types but needs to be included in the data set to maintain connectivity. An example would be a sidewalk or possible missing sidewalk that breaks at a parking apron. The section that covers the parking apron would be an “other path.” Segments with this attribution can be delineated up to 650 feet to maintain connectivity in the layer. A “best-fit line” is a straight feature drawn through a decorative sidewalk pattern (e.g. on a school campus). It indicates that a sidewalk is there but does not trace all pedestrian possibilities. Sidewalk widths are available to project partners, courtesy of Felsburg, Holt, and Ullevig. 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>
Paved sidewalk centerlines 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
Digital Aerial Image
Paved Sidewalks and Paved Trails Centerlines
DRCOG
Regional Planimetrics
Broomfield County
Transportation
Denver
Built Environment
Adams County
Vector Data
Colorado
Arapahoe County
Douglas County
Softcopy Stereocompilation
Digital Aerial Image
transportation
Paved Sidewalks and Paved Trails Centerlines
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
-105.401479
-104.392835
39.315459
40.211106
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
-105.401357
-105.027447
39.929216
39.406790
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 paved sidewalks and paved trails centerlines vector features.
There are no Attributes in this data set.
The horizontal accuracy of the delivered Paved Sidewalks and Paved Trails Centerlines Line 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 paved sidewalks and paved trails centerlines 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
Cntrln_Sidewalks
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 lines, etc. Vectors are compared to ortho product to validate geometric accuracy. All compilation is cut to project boundary. Where lines intersect project boundary the lines are trimmed at the boundary.
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
145046
SidewalkCenterline2022
Centerline of paved sidewalks and paved trails.
DRGOG
Feature Class
145046
Type
The type of paved sidewalk or paved trail.
DRCOG
"Sidewalk", Crosswalk", "Possible Missing Sidewalk", "Possible Missing Crosswalk", "Other Path", "Best Fit Line"
Type of path. A "sidewalk" is a paved path for pedestrians; most often on the side of the road. A “crosswalk" is a marked (painted) part of the paved road where pedestrians have right of way to cross. Crosswalks within parking lots are not included. A “possible missing sidewalk” is an area on the side of a road where a sidewalk appears to be missing. An indication of a missing sidewalk would be existing sidewalks in the surrounding blocks. This feature should not be paved and should not cross the road. Segments with this attribution can be delineated up to 650 feet to maintain connectivity in the layer. A “possible missing crosswalk” is a crossing of a major street that doesn’t currently have crosswalk paint markings. Major streets are indicated by road surface markings. Segments with this attribution can be delineated up to the width of the street to maintain connectivity in the layer. An “other path” is a line segment that doesn’t meet criteria for the other types but needs to be included in the data set to maintain connectivity. An example would be a sidewalk or possible missing sidewalk that breaks at a parking apron. The section that covers the parking apron would be an “other path.” Segments with this attribution can be delineated up to 650 feet to maintain connectivity in the layer. A “best-fit line” is a straight feature drawn through a decorative sidewalk pattern (e.g. on a school campus). It indicates that a sidewalk is there but does not trace all pedestrian possibilities
DRCOG
type
String
254
0
0
CreateUser
Kucera International, Inc.
DRCOG
Kucera International, Inc.
Name of vendor creating the entity feature
DRCOG
createuser
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
SHAPE
Feature geometry.
Esri
Coordinates defining the features.
Shape
Geometry
0
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
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
Free text description.
comments
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
width_feet
width_feet
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.
dataset
EPSG
5.3(9.0.0)
Simple
FALSE
145046
TRUE
FALSE
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