<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata>
<idinfo>
<citation>
<citeinfo>
<origin>Merrick &amp; Co</origin>
<pubdate>2018</pubdate>
<title>LiDAR Digital Elevation Model, Winnebago County Illinois. 2018</title>
<geoform>las data, DEM .img, Intensity .img, breaklines</geoform>
<serinfo>
<sername>ISGS Project 2018</sername>
<issue>ISGS Project 2018</issue>
</serinfo>
<pubinfo>
<pubplace>Greenwood Village, CO</pubplace>
<publish>Merrick &amp; Co</publish>
</pubinfo>
</citeinfo>
</citation>
<descript>
<abstract>This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2018. The LiDAR derived DTM covers Winnebago County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis.The project area is approximately 554.5 square miles. Unless otherwise stated, the lidar mapping requirements and deliverables will meet the Quality Level Two (QL2) standards as outlined in the USGS-NGP Lidar Base Specifications, Techniques and Methods 11-B4, Version 1.2, November 2014 (TM11-B4). This data set has a vertical accuracy of 2.43 centimeters RMSEz and point spacing of 0.42 meters. Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). Deliverables for this entire project includes, and are available thru the Illinois Geospatial Data Clearinghouse, Raw Swath lidar ASPRS ver 1.4 files, Classified lidar ASPRS ver 1.4 files (tile delivery 2000x2000ft). We have 11 classifications Unclassified, Ground, Low Veg, Medium Veg, High Veg, Buildings, Low Noise, Water, Ignore Ground, Bridge Decks and High Noise. Model key points are bit-flagged and created from ground (class = 2) points using a two foot horizontal and a 0.2 foot vertical variance. Two-foot DEM (32-bit) Erdas Imagine .img files (tile delivery 2000x2000ft) Intensity (8-bit unsigned) .img files (tile delivery 2000x2000ft). Hydro-flattened and under bridge breaklines in ESRI geodatabase 3d polyline feature class format. Calibration control points (18 total), NVA (35 total) and VVA (25 total) lidar check points in ESRI shapefile format. Threre are a total of 3865 2000by2000ft tiles covering Winnebago county. This project was acquired between April 22, 2018 to April 23, 2018 using the Optech Galaxy lidar sensor. The Projection NAD_1983_2011_StatePlane_Illinois_West_FIPS_1202_Ft_US.</abstract>
<purpose>LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science. The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. This acquisition and processing of LiDAR data for Winnebago County commencing in the Spring of 2018. Winnebago County is approximately 554.5 square miles. Services include LiDAR acquisition; ground control survey; LiDAR post-processing; LiDAR classification; hydro-flattening; QA/QC, and; development of derivative deliverable products (including metadata and reporting).</purpose>
<lidar>
<ldrinfo>
<ldrspec>USGS NGP Base Specification v1.2</ldrspec>
<ldrsens>Optech Galaxy Airborne Laser Terrain Mappers (ALTM) SN5060385</ldrsens>
<ldrmaxnr>8</ldrmaxnr>
<ldrnps>0.5</ldrnps>
<ldrdens>4</ldrdens>
<ldranps>0.5</ldranps>
<ldradens>4</ldradens>
<ldrfltht>1650</ldrfltht>
<ldrfltsp>170</ldrfltsp>
<ldrscana>30</ldrscana>
<ldrscanr>88</ldrscanr>
<ldrpulsr>400</ldrpulsr>
<ldrpulsd>3.5</ldrpulsd>
<ldrpulsw>1.05</ldrpulsw>
<ldrwavel>1064</ldrwavel>
<ldrmpia>1</ldrmpia>
<ldrbmdiv>0.25</ldrbmdiv>
<ldrswatw>2901</ldrswatw>
<ldrswato>20</ldrswato>
<ldrcrs>NAD_1983_2011_StatePlane_Illinois_West_FIPS_1202_Ft_US</ldrcrs>
<ldrgeoid>National Geodetic Survey (NGS) Geoid12B</ldrgeoid>
</ldrinfo>
<ldraccur>
<ldrchacc>0.1</ldrchacc>
<rawnva>0.052</rawnva>
<rawnvan>35</rawnvan>
<clsnva>0.054</clsnva>
<clsnvan>35</clsnvan>
<clsvva>0.076</clsvva>
<clsvvan>25</clsvvan>
</ldraccur>
<lasinfo>
<lasver>1.4</lasver>
<lasprf>6</lasprf>
<laswheld>Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.</laswheld>
<lasolap>Swath "overage" points were identified in these files by a separate bit flag.</lasolap>
<lasintr>12-bit</lasintr>
<lasclass>
<clascode>1</clascode>
<clasitem>Undetermined/Unclassifed</clasitem>
</lasclass>
<lasclass>
<clascode>2</clascode>
<clasitem>Ground</clasitem>
</lasclass>
<lasclass>
<clascode>3</clascode>
<clasitem>Low Veg</clasitem>
</lasclass>
<lasclass>
<clascode>4</clascode>
<clasitem>Medium Veg</clasitem>
</lasclass>
<lasclass>
<clascode>5</clascode>
<clasitem>High Veg</clasitem>
</lasclass>
<lasclass>
<clascode>6</clascode>
<clasitem>Building</clasitem>
</lasclass>
<lasclass>
<clascode>7</clascode>
<clasitem>Low point (noise)</clasitem>
</lasclass>
<lasclass>
<clascode>9</clascode>
<clasitem>Water</clasitem>
</lasclass>
<lasclass>
<clascode>10</clascode>
<clasitem>Ignore ground (near a breakline)</clasitem>
</lasclass>
<lasclass>
<clascode>17</clascode>
<clasitem>Bridge Decks</clasitem>
</lasclass>
<lasclass>
<clascode>18</clascode>
<clasitem>High Noise</clasitem>
</lasclass>
</lasinfo>
</lidar>
</descript>
<timeperd>
<timeinfo>
<rngdates>
<begdate>20180422</begdate>
<begtime>unknown</begtime>
<enddate>20180423</enddate>
<endtime>unknown</endtime>
</rngdates>
</timeinfo>
<current>ground condition</current>
</timeperd>
<status>
<progress>Complete</progress>
<update>Unknown</update>
</status>
<spdom>
<bounding>
<westbc>-89.409136</westbc>
<eastbc>-88.930221</eastbc>
<northbc>42.506447</northbc>
<southbc>42.145652</southbc>
</bounding>
</spdom>
<keywords>
<theme>
<themekt>none</themekt>
<themekey>LIDAR</themekey>
<themekey>DEM</themekey>
<themekey>Intensity</themekey>
</theme>
<place>
<placekt>none</placekt>
<placekey>Illinois</placekey>
<placekey>Winnebago County</placekey>
</place>
<temporal>
<tempkt>none</tempkt>
<tempkey>2018</tempkey>
</temporal>
</keywords>
<accconst>none</accconst>
<useconst>unknown</useconst>
<ptcontac>
<cntinfo>
<cntperp>
<cntper>Sheena Beaverson</cntper>
<cntorg>Illinois State Geological Survey</cntorg>
</cntperp>
<cntpos>Program Manager</cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>615 E. Peabody Drive</address>
<city>Champaign</city>
<state>IL</state>
<postal>61820</postal>
</cntaddr>
<cntvoice>217-244-9306</cntvoice>
<cntemail>sbeavers@illinois.edu</cntemail>
<cntinst>Please refer to the distribution information section.</cntinst>
</cntinfo>
</ptcontac>
<native>Microsoft Windows Vista Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 9.3.1.4095</native>
</idinfo>
<dataqual>
<attracc>
<attraccr>The dataset was captured, attributed, and reviewed to ensure completeness and accuracy of at least 95%.</attraccr>
</attracc>
<logic>The dataset was captured, attributed, and reviewed to ensure completeness and accuracy of at least 95%.</logic>
<complete>The dataset was captured, attributed, and reviewed to ensure completeness and accuracy of at least 95%.</complete>
<posacc>
<horizpa>
<horizpar>This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 17(cm) RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 40cm at a 95% confidence level.</horizpar>
</horizpa>
<vertacc>
<vertaccr>This data set was tested to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 2.674cm, equating to +/- 5.241cm at the 95% confidence level. Actual VVA accuracy was found to be +/-7.616cm at the 95th percentile.</vertaccr>
<qvertpa>
<vertaccv>0.054</vertaccv>
<vertacce>Classified Non-Vegetated Vertical Accuracy (NVA) tested 0.054 meters vertical accuracy at the 95 percent confidence level. Thirty-five (35) NVA points were used and validated against the DEM.</vertacce>
</qvertpa>
<qvertpa>
<vertaccv>0.076</vertaccv>
<vertacce>Classified Vegetated Vertical Accuracy (VVA) tested 0.076 meters vertical accuracy at the 95th percentile. Twenty-five (25) VVA points were used and validated against the DEM.</vertacce>
</qvertpa>
</vertacc>
</posacc>
<lineage>
<srcinfo>
<srccite>
<citeinfo>
<origin>JUNEAU Associates, Inc., P.C.</origin>
<pubdate>2018</pubdate>
<pubtime>Unknown</pubtime>
<title>ground control</title>
<geoform>tabular digital data</geoform>
<serinfo>
<sername>ground control</sername>
<issue>ground control</issue>
</serinfo>
<pubinfo>
<pubplace>Granite City, IL</pubplace>
<publish>JUNEAU Associates, Inc., P.C.</publish>
</pubinfo>
</citeinfo>
</srccite>
<typesrc>disc</typesrc>
<srctime>
<timeinfo>
<sngdate>
<caldate>2018</caldate>
</sngdate>
</timeinfo>
<srccurr>publication date</srccurr>
</srctime>
<srccitea>ground control</srccitea>
<srccontr>control point network to estbalish horizontal and vertical accuracy</srccontr>
</srcinfo>
<srcinfo>
<srccite>
<citeinfo>
<origin>Merrick &amp; Co</origin>
<pubdate>2018</pubdate>
<title>LiDAR</title>
<geoform>LAS data</geoform>
<serinfo>
<sername>LiDAR</sername>
<issue>LiDAR</issue>
</serinfo>
<pubinfo>
<pubplace>Greenwood Village, Co.</pubplace>
<publish>Merrick &amp; Co</publish>
</pubinfo>
</citeinfo>
</srccite>
<typesrc>disc</typesrc>
<srctime>
<timeinfo>
<rngdates>
<begdate>20180422</begdate>
<begtime>unknown</begtime>
<enddate>20180423</enddate>
<endtime>unknown</endtime>
</rngdates>
</timeinfo>
<srccurr>ground condition</srccurr>
</srctime>
<srccitea>LiDAR</srccitea>
<srccontr>Surface returns used to create surface models.</srccontr>
</srcinfo>
<procstep>
<procdesc>Classifed lidar:
LIDAR data was collected using the Optech Galaxy sensor. The raw data was verified in MARS software for complete coverage of the project area, and boresighted to align the flightlines. Raw data files were parsed into manageable client-specific tiles. These tiles were then processed through automated filtering that separates the data into different classification groups: unclassified points, ground points, low veg, medium veg, high veg, buildings, low noise, water, ignored ground, bridge decks and high noise. Model key points are bit-flagged and created from ground (class = 2) points using a two foot horizontal and a 0.2 foot vertical variance. The data was next taken into MARS to reclassify the erroneous points that may remain in the LIDAR point cloud after auto filter. Four points or greater per square meter (QL2) ASPRS ver 1.4 format.</procdesc>
<srcused>ground control</srcused>
<srcused>LiDAR</srcused>
<procdate>20181012</procdate>
<proccont>
<cntinfo>
<cntperp>
<cntper>Doug Jacoby</cntper>
<cntorg>Merrick &amp; Co</cntorg>
</cntperp>
<cntpos>Project Manager</cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>5970 Greenwood Plaza Blvd</address>
<city>Greenwood Village</city>
<state>Co</state>
<postal>80111</postal>
<country>USA</country>
</cntaddr>
<cntvoice>303-353-3903</cntvoice>
<cntemail>doug.jacoby@merrick.com</cntemail>
</cntinfo>
</proccont>
</procstep>
<procstep>
<procdesc>Breaklines:
Using MARS software hydro-flattened breaklines (rivers greater than 100 feet wide and waterbodies greater than two square acres and islands greater than one acre) were compiled. Additionally breaklines were placed underneath bridges and waterfalls where necessary. MARS software using Intensity values and 3d elevations generates ESRI shape files which are then imported into an ESRI gdb for a project wide delivery. Monotonicity checks where validated (water flowing downstream).</procdesc>
<srcused>ground control</srcused>
<srcused>LiDAR</srcused>
<procdate>20181012</procdate>
<proccont>
<cntinfo>
<cntperp>
<cntper>Doug Jacoby</cntper>
<cntorg>Merrick &amp; Co</cntorg>
</cntperp>
<cntpos>Project Manager</cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>5970 Greenwood Plaza Blvd</address>
<city>Greenwood Village</city>
<state>Co</state>
<postal>80111</postal>
<country>USA</country>
</cntaddr>
<cntvoice>303-353-3903</cntvoice>
<cntemail>doug.jacoby@merrick.com</cntemail>
</cntinfo>
</proccont>
</procstep>
<procstep>
<procdesc>DEM:
Using MARS software a two-foot (2ft) DEM Erdas Imagine .img file was created using the ground classified lidar points along with the breaklines. The files are delivered in 2000ft by 2000ft tiles.</procdesc>
<srcused>ground control</srcused>
<srcused>LiDAR</srcused>
<procdate>20181012</procdate>
<proccont>
<cntinfo>
<cntperp>
<cntper>Doug Jacoby</cntper>
<cntorg>Merrick &amp; Co</cntorg>
</cntperp>
<cntpos>Project Manager</cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>5970 Greenwood Plaza Blvd</address>
<city>Greenwood Village</city>
<state>Co</state>
<postal>80111</postal>
<country>USA</country>
</cntaddr>
<cntvoice>303-353-3903</cntvoice>
<cntemail>doug.jacoby@merrick.com</cntemail>
</cntinfo>
</proccont>
</procstep>
<procstep>
<procdesc>Intensity:
Using MARS software a two-foot (2ft) Intensity Erdas Imagine .img file were created using the Intensity values of all returns minus the overlap points. The files are delivered in 2000ft by 2000ft tiles. These files are 8bit unsigned integers.</procdesc>
<srcused>ground control</srcused>
<srcused>LiDAR</srcused>
<procdate>20181012</procdate>
<proccont>
<cntinfo>
<cntperp>
<cntper>Doug Jacoby</cntper>
<cntorg>Merrick &amp; Co</cntorg>
</cntperp>
<cntpos>Project Manager</cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>5970 Greenwood Plaza Blvd</address>
<city>Greenwood Village</city>
<state>Co</state>
<postal>80111</postal>
<country>USA</country>
</cntaddr>
<cntvoice>303-353-3903</cntvoice>
<cntemail>doug.jacoby@merrick.com</cntemail>
</cntinfo>
</proccont>
</procstep>
</lineage>
</dataqual>
<spdoinfo>
<direct>Vector</direct>
</spdoinfo>
<spref>
<horizsys>
<planar>
<planci>
<plance>coordinate pair</plance>
<coordrep>
<absres>0.001</absres>
<ordres>0.001</ordres>
</coordrep>
<plandu>survey feet</plandu>
</planci>
</planar>
<geodetic>
<horizdn>D_NAD_1983_2011</horizdn>
<ellips>Geodetic Reference System 80</ellips>
<semiaxis>6378137.000000</semiaxis>
<denflat>298.257222</denflat>
</geodetic>
</horizsys>
<vertdef>
<altsys>
<altdatum>North American Vertical Datum of 1988 GEOID12B</altdatum>
<altres>.001</altres>
<altunits>feet</altunits>
<altenc>Explicit elevation coordinate included with horizontal coordinates</altenc>
</altsys>
</vertdef>
</spref>
<eainfo>
<detailed>
<enttyp>
<enttypl>Classified las 1.4</enttypl>
<enttypd>Classified las 1.4</enttypd>
<enttypds>Merrick &amp; Co</enttypds>
</enttyp>
</detailed>
<overview>
<eaover>ASPRS ver 1.4 format:
1 = Unclassified
2 = Ground
3 = Low Veg
4 = Medium Veg
5 = High Veg
6 = Building
7 = Low Noise
9 = Water
10 = Ignore Ground
17 = Bridge
18 = High Noise
Model key points are bit-flagged and created from ground (class = 2) points using a two foot horizontal and a 0.2 foot vertical variance.</eaover>
<eadetcit>ASPRS ver 1.4 format:
1 = Unclassified
2 = Ground
3 = Low Veg
4 = Medium Veg
5 = High Veg
6 = Building
7 = Low Noise
9 = Water
10 = Ignore Ground
17 = Bridge
18 = High Noise
Model key points are bit-flagged and created from ground (class = 2) points using a two foot horizontal and a 0.2 foot vertical variance.</eadetcit>
</overview>
</eainfo>
<metainfo>
<metd>20181012</metd>
<metc>
<cntinfo>
<cntperp>
<cntper>Doug Jacoby</cntper>
<cntorg>Merrick &amp; Co.</cntorg>
</cntperp>
<cntpos>Project Manager</cntpos>
<cntaddr>
<addrtype>mailing and physical address</addrtype>
<address>5970 Greenwood Plaza Blvd.</address>
<city>Greenwood Village</city>
<state>Co</state>
<postal>80111</postal>
</cntaddr>
<cntvoice>303-353-3903</cntvoice>
<cntemail>doug.jacoby@merrick.com</cntemail>
<cntinst>Please refer to the distribution information section.</cntinst>
</cntinfo>
</metc>
<metstdn>FGDC Content Standards for Digital Geospatial Metadata</metstdn>
<metstdv>FGDC-STD-001-1998</metstdv>
<mettc>local time</mettc>
<metac>None.</metac>
<metuc>None.</metuc>
</metainfo>
<dataIdInfo>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1.7333</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">IL_Winnebago_DSM_2018</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<date>
<createDate>2018-12-03T00:00:00</createDate>
<pubDate>2018-12-03T00:00:00</pubDate>
<reviseDate>2018-12-03T00:00:00</reviseDate>
</date>
<otherCitDet>Recommended Publishing Citation: Illinois Height Modernization Program, Illinois State Geological Survey, and Illinois Department of Transportation, 2002–2018, Illinois Height Modernization Program (ILHMP): LiDAR data: Illinois State Geological Survey http://clearinghouse.isgs.illinois.edu/ (accessed December 3, 2018)</otherCitDet>
<citRespParty>
<editorSource>external</editorSource>
<editorDigest>ca49c109c6233814e6634505bf23ddb3</editorDigest>
<rpIndName>Illinois State Geological Survey</rpIndName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>615 E Peabody Dr.</delPoint>
<city>Champaign</city>
<adminArea>IL</adminArea>
<postCode>61821</postCode>
<eMailAdd>info@isgs.edu</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">217-333-4747</voiceNum>
</cntPhone>
<cntHours>Monday thru Friday 8 am to 5 pm</cntHours>
</rpCntInfo>
<editorSave>True</editorSave>
<displayName>Illinois State Geological Survey</displayName>
<role>
<RoleCd value="006"/>
</role>
</citRespParty>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-89.409136</westBL>
<eastBL Sync="TRUE">-88.930223</eastBL>
<northBL Sync="TRUE">42.506448</northBL>
<southBL Sync="TRUE">42.145652</southBL>
</GeoBndBox>
</geoEle>
<exDesc>none</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmBegin>2018-04-22T00:00:00</tmBegin>
<tmEnd>2018-04-23T00:00:00</tmEnd>
</TM_Period>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<idPurp>LiDAR data and its derivatives assist in real-world uses around the state of Illinois such as; highway engineering, flood prediction, agricultural land management, mining subsidence, monitoring archaeological features, locating sinkholes and applied geologic science. The data do not replace the need for detailed site-specific studies. The information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. The information has no legal basis in the definition of boundaries or property lines and is not intended as a substitute for surveyed locations such as can be determined by a registered Public Land Surveyor. This acquisition and processing of LiDAR data for Winnebago County commencing in the Spring of 2018. Winnebago County is approximately 554.5 square miles. Services include LiDAR acquisition; ground control survey; LiDAR post-processing; LiDAR classification; hydro-flattening; QA/QC, and; development of derivative deliverable products (including metadata and reporting).</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN STYLE="font-size:12pt"&gt;This Digital Surface Model (DSM) data was produced all or in part from LiDAR information as of 2018. The LiDAR derived DTM covers Winnebago County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis.The project area is approximately 554.5 square miles. Unless otherwise stated, the lidar mapping requirements and deliverables will meet the Quality Level Two (QL2) standards as outlined in the USGS-NGP Lidar Base Specifications, Techniques and Methods 11-B4, Version 1.2, November 2014 (TM11-B4). This data set has a vertical accuracy of 2.43 centimeters RMSEz and point spacing of 0.42 meters. Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). Deliverables for this entire project includes, and are available thru the Illinois Geospatial Data Clearinghouse, Raw Swath lidar ASPRS ver 1.4 files, Classified lidar ASPRS ver 1.4 files (tile delivery 2000x2000ft). We have 11 classifications Unclassified, Ground, Low Veg, Medium Veg, High Veg, Buildings, Low Noise, Water, Ignore Ground, Bridge Decks and High Noise. Model key points are bit-flagged and created from ground (class = 2) points using a two foot horizontal and a 0.2 foot vertical variance. Two-foot DEM (32-bit) Erdas Imagine .img files (tile delivery 2000x2000ft) Intensity (8-bit unsigned) .img files (tile delivery 2000x2000ft). Hydro-flattened and under bridge breaklines in ESRI geodatabase 3d polyline feature class format. Calibration control points (18 total), NVA (35 total) and VVA (25 total) lidar check points in ESRI shapefile format. Threre are a total of 3865 2000by2000ft tiles covering Winnebago county. This project was acquired between April 22, 2018 to April 23, 2018 using the Optech Galaxy lidar sensor. The Projection NAD_1983_2011_StatePlane_Illinois_West_FIPS_1202_Ft_US.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Illinois State Geological Survey , Merrick &amp; Co.</idCredit>
<searchKeys>
<keyword>LIDAR</keyword>
<keyword>DEM</keyword>
<keyword>Intensity</keyword>
<keyword>Light Detection and Ranging</keyword>
<keyword>Bare Earth</keyword>
<keyword>Point Cloud</keyword>
<keyword>Elevation</keyword>
<keyword>Surface model</keyword>
<keyword>digital surface model</keyword>
<keyword>DSM</keyword>
<keyword>Hillshade</keyword>
</searchKeys>
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<Consts>
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</Thumbnail>
</Binary>
<mdContact>
<editorSource>external</editorSource>
<editorDigest>ca49c109c6233814e6634505bf23ddb3</editorDigest>
<rpIndName>Illinois State Geological Survey</rpIndName>
<rpCntInfo>
<cntAddress addressType="both">
<delPoint>615 E Peabody Dr.</delPoint>
<city>Champaign</city>
<adminArea>IL</adminArea>
<postCode>61821</postCode>
<eMailAdd>info@isgs.edu</eMailAdd>
<country>US</country>
</cntAddress>
<cntPhone>
<voiceNum tddtty="">217-333-4747</voiceNum>
</cntPhone>
<cntHours>Monday thru Friday 8 am to 5 pm</cntHours>
</rpCntInfo>
<editorSave>True</editorSave>
<displayName>Illinois State Geological Survey</displayName>
<role>
<RoleCd value="005"/>
</role>
</mdContact>
<dqInfo>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<report dimension="" type="DQConcConsis">
<measDesc>1. There is a sporadic issue of points in one of the advanced classifications, i.e. points that represent structures, trees, etc., being misclassified into one of the other classes.
2. Observation: One of the potential errors associated with LiDAR data collection is that black surfaces can sometimes absorb LiDAR points and not generate a return. These commonly include rooftops and fresh asphalt parking lots. </measDesc>
</report>
</dqInfo>
</metadata>
