<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240621</CreaDate>
<CreaTime>15365700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">ParkingLot2022</itemName>
<itemLocation>
<linkage Sync="TRUE">file://\\admin.co.jeffco.us\admin\groups\IT Services\GIS_Services\Projects\Planimetrics\2022\Data\Planimetrics2022_Processing.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<nativeExtBox>
<westBL Sync="TRUE">3027872.005410</westBL>
<eastBL Sync="TRUE">3133386.530929</eastBL>
<southBL Sync="TRUE">1573216.641093</southBL>
<northBL Sync="TRUE">1764435.984703</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<imsContentType Sync="TRUE">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<projcsn Sync="TRUE">NAD_1983_StatePlane_Colorado_Central_FIPS_0502_Feet</projcsn>
<peXml Sync="TRUE">&lt;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'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_Colorado_Central_FIPS_0502_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,3000000.000316083],PARAMETER[&amp;quot;False_Northing&amp;quot;,999999.999996],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-105.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,38.45],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,39.75],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,37.83333333333334],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2232]]&lt;/WKT&gt;&lt;XOrigin&gt;-118767900&lt;/XOrigin&gt;&lt;YOrigin&gt;-94525500&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102654&lt;/WKID&gt;&lt;LatestWKID&gt;2232&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20240621" Name="" Time="153707" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures" export="">ExportFeatures planimetrics_2022_parking P:\Projects\Planimetrics\2022\Data\Planimetrics2022_Processing.gdb\ParkingLot2022 # NOT_USE_ALIAS "createdate "createdate" true true false 8 Date 0 0,First,#,planimetrics_2022_parking,createdate,-1,-1;createuser "createuser" true true false 254 Text 0 0,First,#,planimetrics_2022_parking,createuser,0,254;type "type" true true false 254 Text 0 0,First,#,planimetrics_2022_parking,type,0,254;comments "comments" true true false 254 Text 0 0,First,#,planimetrics_2022_parking,comments,0,254;update_status "update_status" true true false 254 Text 0 0,First,#,planimetrics_2022_parking,update_sta,0,254;unique_id "unique_id" true true false 33 Double 15 32,First,#,planimetrics_2022_parking,unique_id,-1,-1" #</Process>
</lineage>
</DataProperties>
<SyncDate>20240621</SyncDate>
<SyncTime>18015600</SyncTime>
<ModDate>20240621</ModDate>
<ModTime>18015600</ModTime>
<scaleRange>
<minScale>1200</minScale>
<maxScale>1200</maxScale>
</scaleRange>
<ArcGISProfile>FGDC</ArcGISProfile>
</Esri>
<mdLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
<mdChar>
<CharSetCd value="004"/>
</mdChar>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdContact>
<rpIndName>Ashley Summers</rpIndName>
<rpOrgName>Denver Regional Council of Governments (DRCOG)</rpOrgName>
<rpPosName>Information Systems Manager</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>303 455-1000</voiceNum>
<faxNum>303 480-6790</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>1001 17th Street</delPoint>
<city>Denver</city>
<adminArea>CO</adminArea>
<postCode>80202</postCode>
<country>U.S.</country>
<eMailAdd>geospatial@drcog.org</eMailAdd>
</cntAddress>
<cntHours>8am to 5pm US Mountain Time</cntHours>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</mdContact>
<mdDateSt Sync="TRUE">20240621</mdDateSt>
<mdStanName>ArcGIS Metadata</mdStanName>
<mdStanVer>1.0</mdStanVer>
<distInfo>
<distributor>
<distorCont>
<rpIndName>Ashley Summers</rpIndName>
<rpOrgName>Denver Regional Council of Governments (DRCOG)</rpOrgName>
<rpPosName>Information Systems Manager</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>303 455-1000</voiceNum>
<faxNum>303 480-6790</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>1001 17th Street</delPoint>
<city>Denver</city>
<adminArea>CO</adminArea>
<postCode>80202</postCode>
<country>U.S.</country>
<eMailAdd>geospatial@drcog.org</eMailAdd>
</cntAddress>
<cntHours>8am to 5pm US Mountain Time</cntHours>
</rpCntInfo>
<role>
<RoleCd value="005"/>
</role>
</distorCont>
<distorOrdPrc>
<resFees>Contact resellers</resFees>
<ordInstr>Order from either Map Mart or Colorado Aerial Photo Service</ordInstr>
</distorOrdPrc>
<distorFormat>
<formatName>Geodatabase</formatName>
<formatVer>ArcGIS 10.1</formatVer>
<formatSpec>ESRI</formatSpec>
</distorFormat>
<distorTran>
<offLineMed>
<medFormat>
<MedFormCd value="004"/>
</medFormat>
</offLineMed>
</distorTran>
</distributor>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<dataIdInfo>
<idCitation>
<resTitle Sync="FALSE">Parking Lot</resTitle>
<date>
<pubDate>2023-01-01</pubDate>
</date>
<resEd>1.0</resEd>
<citRespParty>
<rpOrgName>Denver Regional Council of Governments (DRCOG)</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Denver Regional Council of Governments</rpOrgName>
<rpCntInfo>
<cntAddress>
<delPoint>Denver, CO</delPoint>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="010"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="005"/>
</presForm>
<presForm>
<fgdcGeoform>vector digital data</fgdcGeoform>
</presForm>
<datasetSeries>
<seriesName>DRCOG Planimetric Project</seriesName>
<issId>2022</issId>
</datasetSeries>
</idCitation>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;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. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Data were processed to a one mile extent of Jefferson County, Colorado by the Jefferson County Business Innovation and Technology GIS division. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Data are in State Plane Grid Coordinates, Colorado Central Zone, NAD83 (US feet).&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idPurp>Parking lots delineated from 2022 aerial imagery within one mile of Jefferson County, Colorado. Features were compiled from the DRCOG 2022 Denver Regional Aerial Photography Project (DRAPP) imagery.</idPurp>
<idStatus>
<ProgCd value="001"/>
</idStatus>
<idPoC>
<rpIndName>Ashley Summers</rpIndName>
<rpOrgName>Denver Regional Council of Governments (DRCOG)</rpOrgName>
<rpPosName>Information Systems Manager</rpPosName>
<rpCntInfo>
<cntPhone>
<voiceNum>303 455-1000</voiceNum>
<faxNum>303 480-6790</faxNum>
</cntPhone>
<cntAddress addressType="both">
<delPoint>1001 17th Street</delPoint>
<city>Denver</city>
<adminArea>CO</adminArea>
<postCode>80202</postCode>
<country>U.S.</country>
<eMailAdd>geospatial@drcog.org</eMailAdd>
</cntAddress>
<cntHours>8am to 5pm US Mountain Time</cntHours>
</rpCntInfo>
<role>
<RoleCd value="007"/>
</role>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="012"/>
</maintFreq>
</resMaint>
<placeKeys>
<thesaName>
<resTitle>DRCOG</resTitle>
</thesaName>
<keyword>Broomfield County</keyword>
<keyword>Denver</keyword>
<keyword>Adams County</keyword>
<keyword>Colorado</keyword>
<keyword>Arapahoe County</keyword>
<keyword>Douglas County</keyword>
<keyword>Denver County</keyword>
<keyword>Boulder County</keyword>
<keyword>Jefferson County</keyword>
</placeKeys>
<themeKeys>
<thesaName>
<resTitle>ISO 19115 Topic Categories</resTitle>
</thesaName>
<keyword>transportation</keyword>
</themeKeys>
<themeKeys>
<thesaName>
<resTitle>Aerial Imagery</resTitle>
</thesaName>
<keyword>Transportation</keyword>
<keyword>Built Environment</keyword>
<keyword>Vector Data</keyword>
<keyword>Softcopy Stereocompilation</keyword>
<keyword>Land Use</keyword>
<keyword>Digital Aerial Image</keyword>
<keyword>Parking</keyword>
<keyword>DRCOG</keyword>
<keyword>Regional Planimetrics</keyword>
</themeKeys>
<searchKeys>
<keyword>Transportation</keyword>
<keyword>Built Environment</keyword>
<keyword>Vector Data</keyword>
<keyword>Colorado</keyword>
<keyword>Softcopy Stereocompilation</keyword>
<keyword>Land Use</keyword>
<keyword>Digital Aerial Image</keyword>
<keyword>Parking</keyword>
<keyword>transportation</keyword>
<keyword>DRCOG</keyword>
<keyword>Regional Planimetrics</keyword>
<keyword>Jefferson County</keyword>
</searchKeys>
<resConst>
<LegConsts>
<useLimit>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.</useLimit>
<othConsts>Contact DRCOG</othConsts>
</LegConsts>
</resConst>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;'&gt;&lt;p style='margin-top:0px; margin-bottom:1.5rem; font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;'&gt;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. https://data.drcog.org/ &lt;/p&gt;&lt;p style='margin-top:0px; margin-bottom:1.5rem; font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;'&gt;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.&lt;/p&gt;&lt;p style='margin-top:0px; margin-bottom:1.5rem; font-family:&amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size:16px;'&gt;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 &amp;quot;as is&amp;quot;. 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.&lt;/p&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<dataLang>
<languageCode value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox>
<westBL>-105.401462</westBL>
<eastBL>-104.401698</eastBL>
<southBL>39.327706</southBL>
<northBL>40.211007</northBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataExt>
<exDesc>Ground condition</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmBegin>2022-03-25</tmBegin>
<tmEnd>2022-08-09</tmEnd>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<suppInfo>```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.</suppInfo>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-105.401358</westBL>
<eastBL Sync="TRUE">-105.024391</eastBL>
<northBL Sync="TRUE">39.932147</northBL>
<southBL Sync="TRUE">39.406287</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idCredit>Denver Regional Council of Governments (DRCOG); Jefferson County Business Innovation and Technology GIS</idCredit>
<tpCat>
<TopicCatCd value="018"/>
</tpCat>
<tpCat>
<TopicCatCd value="007"/>
</tpCat>
</dataIdInfo>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<report type="DQConcConsis">
<measDesc>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.</measDesc>
</report>
<report type="DQCompOm">
<measDesc>Completeness is ensured in the final vector editing process by comparison to the 2022 digital orthoimages as a backdrop to the parking vector features.</measDesc>
</report>
<report type="DQQuanAttAcc">
<measDesc>There are no Attributes in this data set.</measDesc>
</report>
<report dimension="horizontal" type="DQAbsExtPosAcc">
<measDesc>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.</measDesc>
</report>
<report dimension="vertical" type="DQAbsExtPosAcc">
<measDesc>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.</measDesc>
</report>
<dataLineage>
<dataSource>
<srcDesc>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).</srcDesc>
<srcCitatn>
<resTitle>Edited Planimetric/Topographic Mapping</resTitle>
<resAltTitle>parking_poly</resAltTitle>
<date>
<pubDate date="inapplicable"/>
</date>
<resEd>1.0</resEd>
<citRespParty>
<rpOrgName>Kucera International Inc.</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>None</rpOrgName>
<rpCntInfo>
<cntAddress>
<delPoint>None</delPoint>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="010"/>
</role>
</citRespParty>
<presForm>
<fgdcGeoform>DWG, Geodatabase</fgdcGeoform>
</presForm>
</srcCitatn>
<srcExt>
<exDesc>Ground condition</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2023-01-01</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
</srcExt>
</dataSource>
<dataSource>
<srcDesc>The aerial imagery was captured by Sanborn using a Vexcel Ultracam Eagle aerial sensor. This imagery is owned and provided to Kucera by DRCOG.</srcDesc>
<srcScale>
<rfDenom>1200</rfDenom>
</srcScale>
<srcCitatn>
<resTitle>Aerial imagery</resTitle>
<resAltTitle>IMG</resAltTitle>
<date>
<pubDate date="inapplicable"/>
</date>
<resEd>1.0</resEd>
<citRespParty>
<rpOrgName>None</rpOrgName>
<rpCntInfo>
<cntAddress>
<delPoint>None</delPoint>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="010"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Sanborn</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="005"/>
</presForm>
<presForm>
<fgdcGeoform>raster digital data</fgdcGeoform>
</presForm>
</srcCitatn>
<srcExt>
<exDesc>Ground condition</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmBegin>2022-03-25</tmBegin>
<tmEnd>2022-08-09</tmEnd>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</srcExt>
</dataSource>
<dataSource>
<srcDesc>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.</srcDesc>
<srcScale>
<rfDenom>1200</rfDenom>
</srcScale>
<srcCitatn>
<resTitle>Aerial imagery</resTitle>
<resAltTitle>IMG</resAltTitle>
<date>
<pubDate date="inapplicable"/>
</date>
<resEd>1.0</resEd>
<citRespParty>
<rpOrgName>None</rpOrgName>
<rpCntInfo>
<cntAddress>
<delPoint>None</delPoint>
</cntAddress>
</rpCntInfo>
<role>
<RoleCd value="010"/>
</role>
</citRespParty>
<citRespParty>
<rpOrgName>Sanborn</rpOrgName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
<presForm>
<PresFormCd value="005"/>
</presForm>
<presForm>
<fgdcGeoform>raster digital data</fgdcGeoform>
</presForm>
</srcCitatn>
<srcExt>
<exDesc>Ground condition</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmBegin>2022-03-25</tmBegin>
<tmEnd>2022-08-09</tmEnd>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</srcExt>
</dataSource>
<prcStep>
<stepDesc>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.</stepDesc>
<stepDateTm>2022-01-01</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>VrOne files translated to DWG format.</stepDesc>
<stepDateTm>2023-01-01</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>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.</stepDesc>
<stepDateTm>2023-01-01</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>Planimetric feature collection is performed in one or more of BAE SocetSet, ZI SSK, Cardinal VROne softcopy digital stereoscopic compilation workstations.</stepDesc>
<stepDateTm>2023-01-01</stepDateTm>
</prcStep>
<prcStep>
<stepDesc>DWG files translated to ESRI Geodatabase format.</stepDesc>
<stepDateTm>2023-01-01</stepDateTm>
</prcStep>
</dataLineage>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="ParkingLot2022">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">23406</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<eainfo>
<detailed Name="ParkingLot2022">
<enttyp>
<enttypl Sync="TRUE">ParkingLot2022</enttypl>
<enttypd>Outline of paved, impervious surface parking lots with an area &gt;=400 sqft.</enttypd>
<enttypds>DRGOG</enttypds>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">23406</enttypc>
</enttyp>
<attr>
<attrlabl>Comments</attrlabl>
<attrdef>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.</attrdef>
<attrdefs>DRGOG</attrdefs>
<attrdomv>
<udom>Places where you can actually park. Medians covered in grass. Medians that have both pervious and impervious cover.</udom>
</attrdomv>
<attalias Sync="TRUE">comments</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>OBJECTID</attrlabl>
<attrdef>Internal feature number.</attrdef>
<attrdefs>Esri</attrdefs>
<attrdomv>
<udom>Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>Type</attrlabl>
<attrdef>The type of feature that is delineated.</attrdef>
<attrdefs>DRCOG</attrdefs>
<attrdomv>
<edom>
<edomv>"Impervious", "Pervious", "Mixed"</edomv>
<edomvd>Type of surface</edomvd>
<edomvds>DRCOG</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">type</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>Unique_ID</attrlabl>
<attrdef>Unique ID, can be randomly generated</attrdef>
<attrdefs>DRCOG</attrdefs>
<attrdomv>
<edom>
<edomv>Unique ID assigned to individual features</edomv>
<edomvd>Unique ID assigned to individual features</edomvd>
<edomvds>DRCOG</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">unique_id</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>CreateDate</attrlabl>
<attrdef>Date attribute is created.</attrdef>
<attrdefs>DRCOG</attrdefs>
<attrdomv>
<edom>
<edomv>mm/dd/yyyy</edomv>
<edomvd>Month, day and year the feature entity is created</edomvd>
<edomvds>DRCOG</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">createdate</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>Update_Status</attrlabl>
<attrdef>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".</attrdef>
<attrdefs>Kucera</attrdefs>
<attrdomv>
<edom>
<edomv>Add, Delete, Modify, No change</edomv>
<edomvd>Status of feature update</edomvd>
<edomvds>Kucera</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">update_status</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>CreateUser</attrlabl>
<attrdef>Vendor name</attrdef>
<attrdefs>DRCOG</attrdefs>
<attrdomv>
<edom>
<edomv>Kucera International, Inc.</edomv>
<edomvd>Name of vendor creating the entity feature</edomvd>
<edomvds>DRCOG</edomvds>
</edom>
</attrdomv>
<attalias Sync="TRUE">createuser</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl>SHAPE</attrlabl>
<attrdef>Feature geometry.</attrdef>
<attrdefs>Esri</attrdefs>
<attrdomv>
<udom>Coordinates defining the features.</udom>
</attrdomv>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="2232"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">5.3(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="ParkingLot2022">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">23406</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAA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</Data>
</Thumbnail>
</Binary>
</metadata>
