<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata>
<idinfo>
<citation>
<citeinfo>
<origin>Merrick &amp; Co</origin>
<pubdate>2017</pubdate>
<title>Digital Terrain Model (DTM) Macoupin County, Illinois. 2017</title>
<geoform>las data</geoform>
<serinfo>
<sername>Classified las 1.4</sername>
<issue>Classified las 1.4</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 2017. The LiDAR derived DTM covers Macoupin County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This dataset is 2.0 ppsm LiDAR point cloud data and derivative models of Macoupin County, Illinois. Macoupin County is approximately 863 square miles in eastern Illinois. Data was collected at a nominal pulse spacing (NPS) of 0.71 meter. Data acquisition, processing and assessment is compliant with procedures and methods stated in U.S. Geological Survey National Geospatial Program LiDAR Base Specification Version 1.2.Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). The LAS files are the standard LiDAR file format which contains the raw point cloud data, these data are normally classified and distinguished between points on the ground, water or elevated features such as buildings, trees, towers, bridges, etc.. These LAS files are processed into elevation models to create gridded rasters. The first returns can be used to map the top reflective surface (Digital Surface Models - DSM), these normally include open terrain areas, as well as the tops of buildings, trees, towers, and other features elevated above the bare earth. The last returns are used to map the bare-earth terrain (Digital Terrain Models - DTM), these are normally produced with irregularly-spaced points rather than the uniform grid structure of a Digital Elevation Model (DEM), Digital Terrain Models will often include breaklines to help define edges of water bodies.</abstract>
<purpose>These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. 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.</purpose>
<lidar>
<ldrinfo>
<ldrspec>USGS NGP Base Specification v1.2</ldrspec>
<ldrsens>Optech Galaxy Airborne Laser Terrain Mappers (ALTM)</ldrsens>
<ldrmaxnr>8</ldrmaxnr>
<ldrnps>0.71</ldrnps>
<ldrdens>2</ldrdens>
<ldranps>0.56</ldranps>
<ldradens>3.2</ldradens>
<ldrfltht>2,150</ldrfltht>
<ldrfltsp>170</ldrfltsp>
<ldrscana>40</ldrscana>
<ldrscanr>62</ldrscanr>
<ldrpulsr>350</ldrpulsr>
<ldrpulsd>3.5</ldrpulsd>
<ldrpulsw>1.05</ldrpulsw>
<ldrwavel>1064</ldrwavel>
<ldrmpia>1</ldrmpia>
<ldrbmdiv>0.25</ldrbmdiv>
<ldrswatw>1565</ldrswatw>
<ldrswato>30</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>0.096</rawnva>
<rawnvan>83</rawnvan>
<clsnva>0.097</clsnva>
<clsnvan>83</clsnvan>
<clsvva>0.178</clsvva>
<clsvvan>61</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>20170407</begdate>
<begtime>unknown</begtime>
<enddate>20170424</enddate>
<endtime>unknown</endtime>
</rngdates>
</timeinfo>
<current>ground condition</current>
</timeperd>
<status>
<progress>Complete</progress>
<update>Unknown</update>
</status>
<spdom>
<bounding>
<westbc>-90.629650</westbc>
<eastbc>-89.126421</eastbc>
<northbc>39.533649</northbc>
<southbc>38.990944</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>Greene County</placekey>
<placekey>Macoupin County</placekey>
<placekey>Montgomery County</placekey>
</place>
<temporal>
<tempkt>none</tempkt>
<tempkey>2017</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 22.5 (cm) RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 55.1 cm 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 10.0-cm RMSEz Vertical Accuracy
Class. Actual NVA accuracy was found to be RMSEz = 4.914cm, equating to +/- 9.632cm at the 95% confidence level. Actual VVA accuracy was fo
und to be +/- 17.800cm at the 95th percentile. These results are verified against a TIN.</vertaccr>
<qvertpa>
<vertaccv>0.097</vertaccv>
<vertacce>Classified Non-Vegetated Vertical Accuracy (NVA) tested 0.097 meters vertical accuracy at the 95 percent confidence level. Eighty-three (83) NVA points were used and validated against the DEM.</vertacce>
</qvertpa>
<qvertpa>
<vertaccv>0.182</vertaccv>
<vertacce>Classified Vegetated Vertical Accuracy (VVA) tested 0.182 meters vertical accuracy at the 95th percentile. Sixty-one (61) VVA points were used and validated against the DEM.</vertacce>
</qvertpa>
</vertacc>
</posacc>
<lineage>
<srcinfo>
<srccite>
<citeinfo>
<origin>CompassData Inc.</origin>
<pubdate>2017</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>Centennial, Co</pubplace>
<publish>CompasData Inc.</publish>
</pubinfo>
</citeinfo>
</srccite>
<typesrc>disc</typesrc>
<srctime>
<timeinfo>
<sngdate>
<caldate>2017</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>2017</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>20170407</begdate>
<begtime>unknown</begtime>
<enddate>20170424</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>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. The data was next taken into MARS to reclassify the erroneous points that may remain in the LIDAR point cloud after auto filter. Two points or greater per square meter (QL2) ASPRS ver 1.4 format.</procdesc>
<srcused>ground control</srcused>
<srcused>LiDAR</srcused>
<procdate>20170920</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>
<rastinfo>
<rasttype>Pixel</rasttype>
</rastinfo>
</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</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</eadetcit>
</overview>
</eainfo>
<metainfo>
<metd>20170920</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>
<metextns>
<onlink>http://www.esri.com/metadata/esriprof80.html</onlink>
<metprof>ESRI Metadata Profile</metprof>
</metextns>
<metextns>
<onlink>http://www.esri.com/metadata/esriprof80.html</onlink>
<metprof>ESRI Metadata Profile</metprof>
</metextns>
</metainfo>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.5.1.7333</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</dataLang>
<idCitation>
<resTitle Sync="FALSE">IL_Greene_DTM_2017</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
<otherCitDet>Recommended Publishing Citation:
Illinois Height Modernization Program, Greene County, 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 January 4, 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>
<date>
<createDate>2018-01-04T00:00:00</createDate>
<pubDate>2018-01-04T00:00:00</pubDate>
<reviseDate>2018-01-04T00:00:00</reviseDate>
</date>
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<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
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<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-90.629614</westBL>
<eastBL Sync="TRUE">-90.126191</eastBL>
<northBL Sync="TRUE">39.528158</northBL>
<southBL Sync="TRUE">39.115413</southBL>
</GeoBndBox>
</geoEle>
<exDesc>none</exDesc>
<tempEle>
<TempExtent>
<exTemp>
<TM_Period>
<tmBegin>2018-01-04T00:00:00</tmBegin>
<tmEnd>2018-01-04T00:00:00</tmEnd>
</TM_Period>
</exTemp>
</TempExtent>
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</dataExt>
<idPurp>These acquisitions of the LiDAR data and its derivatives were made possible by a grant from the National Geodetic Survey for the National Height Modernization Program. The program is in place to enable states access to accurate, reliable heights using global positioning satellite (GPS) technology in conjunction with traditional leveling, gravity, and modern remote sensing technologies. 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.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This Digital Terrain Model (DTM) data was produced all or in part from LiDAR information as of 2017. The LiDAR derived DTM covers Greene County, Illinois and include inland streams, rivers, lakes ponds and tidal features. These data are appropriate for use in local and regional analysis. This dataset is 2.0 ppsm LiDAR point cloud data and derivative models of Greene County, Illinois. Greene County is approximately 547 square miles in eastern Illinois. Data was collected at a nominal pulse spacing (NPS) of 0.71 meter. Data acquisition, processing and assessment is compliant with procedures and methods stated in U.S. Geological Survey National Geospatial Program LiDAR Base Specification Version 1.2.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Digital Elevation Models (including terrain and surface models) are raster data sets created from whole LiDAR point cloud data sets (LAS files). The LAS files are the standard LiDAR file format which contains the raw point cloud data, these data are normally classified and distinguished between points on the ground, water or elevated features such as buildings, trees, towers, bridges, etc.. These LAS files are processed into elevation models to create gridded rasters. The first returns can be used to map the top reflective surface (Digital Surface Models - DSM), these normally include open terrain areas, as well as the tops of buildings, trees, towers, and other features elevated above the bare earth. The last returns are used to map the bare-earth terrain (Digital Terrain Models - DTM), these are normally produced with irregularly-spaced points rather than the uniform grid structure of a Digital Elevation Model (DEM), Digital Terrain Models will often include breaklines to help define edges of water bodies.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Created by Merrick and Company through Contract with the University of Illinois, Illinois State Geological Survey and the Prairie Research Institute</idCredit>
<searchKeys>
<keyword>Elevation data</keyword>
<keyword>LiDAR</keyword>
<keyword>LAS</keyword>
<keyword>Bare Earth</keyword>
<keyword>DEM</keyword>
<keyword>Breakline</keyword>
<keyword>Greene</keyword>
<keyword>Illinois</keyword>
<keyword>2017</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;None. However, users should be aware that temporal changes may have occurred since &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;this data set was collected and that some parts of this data may no longer represent actual&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;surface conditions. This report is released as a draft or preliminary version. Users should&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;not use this data for critical applications without a full awareness of its limitations.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;ISGS information is the property of and copyrighted by the Board of Trustees of the University of Illinois with all rights reserved. University copyright policy is stated in the General Rules Concerning University Organization and Procedure, Article III, Section 4. A link is provided in the Cross References section. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Individuals or entities may make fair use of copyrighted ISGS material, such as reproducing a single figure or table, or using a brief text quotation, without obtaining formal permission, but in all cases the Illinois State Geological Survey must be credited as the source of the material. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;To reproduce ISGS information beyond the fair use standard, permission must be obtained from the ISGS Information Office, 615 East Peabody Drive, Champaign, Illinois 61820, 217-333-4747, isgs@isgs.illinois.edu. License fees and a license agreement may be required, depending on the proposed usage. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Any use of these data is governed by University and campus policies, in particular, but not limited to, the Policy on Appropriate Use of Computers and Network Systems at the University of Illinois at Urbana-Champaign, the ISGS Terms of Use document available at the ISGS Web site, and the University of Illinois Web Privacy Notice. Links to these are provided in the Cross References section. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;SPAN&gt;Map information is to be used at a scientifically and cartographically appropriate scale, that is, at a scale no greater than indicated on the map or as described in the documentation of the map or map data. Map information is not appropriate for, and is not to be used as, a geodetic, legal, or engineering base. Map 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. The data do not replace the need for detailed site-specific studies.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN /&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
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<CharSetCd value="004"/>
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<ProgCd value="001"/>
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<resMaint>
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<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="USA"/>
</mdLang>
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<Esri>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">greene_dtm</itemName>
<itemLocation>
<linkage Sync="TRUE">file://U:\workarea\Greene_County\Final_Derivatives\rasters\greene_dtm</linkage>
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<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">None</CompressionType>
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<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">floating point</PixelType>
<NoDataValue Sync="TRUE">-3.4028235e+038</NoDataValue>
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<SyncDate>20180108</SyncDate>
<SyncTime>11554900</SyncTime>
<ModDate>20180108</ModDate>
<ModTime>11554900</ModTime>
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<ArcGISProfile>FGDC</ArcGISProfile>
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<dimResol>
<value Sync="TRUE" uom="ftUS">2.000000</value>
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</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">75000</dimSize>
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<mdDateSt Sync="TRUE">20180108</mdDateSt>
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<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>
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<editorSave>True</editorSave>
<displayName>Illinois State Geological Survey</displayName>
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<stepDesc>ISGS Secondary Processing:
1. Thorough QAQC check was completed to ensure and evaluate the quality of the data delivered and that all the specifications have been met in accordance to the contract and national specifications set for LiDAR data.
2. Through ArcGIS 10.3 the following steps were completed to created Terrain and hillshade products:
a. LAS to Mulitpoint conversion using 3D analyst tools.ASPRS Classifications were used below:
0-Created, never classified - No points in this class
1-Unclassified
2-Ground
3-Low Vegetation (less than 1.5 meters)
4-Medium Vegetation (1.5 - 4.5 meters)
5-High Vegetation (4.5 meters and above)
6-Building
7-Low Point (noise)
8-Model Key Points (mass point)
9-Water
10-Reserved (use for breakline proximity)
17-Bridge Decks
18-High Noise
b. Terrains are then created and pyramids are calculated.
c. Terrain to Raster tool was used in 3D Analyst. The parameters of data type float, natural neighbors method, sampling distance is cell size and the point spaceing value from the LiDAR data.
d. Hillshades are created from the above rasters with a Z value of 2.
3. These derivatives were checked again visually for errors. If any errors were perceived corrections were coordinated with vendor and products were updated with corrections.
4. When product was finalized then metadata was completed before making data available.
Process Date 2018-01-04
</stepDesc>
<stepDateTm>2018-01-04T00:00:00</stepDateTm>
</prcStep>
</dataLineage>
<dqScope>
<scpLvl>
<ScopeCd value="005"/>
</scpLvl>
</dqScope>
<report dimension="" type="DQConcConsis">
<measDesc>1. On tile #2407_9630 vegetation in one area has been misclassified as ground. On tile #2479_8910 vegetation has been misclassified as ground.
2. 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.
3. 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. 4. Observation: Due to the late spring collection, on small streams with heavy vegetation it may be difficult to discern the exact characteristics of the stream banks.
5. Observation: Due to the collection dates, crops are up in some areas.
6. Observation: There are several visible flight lines throughout the data set, but the elevation differences are within tolerance.
7. Observation: Random high points are visible on the DSM, which should have been categorized as noise points.</measDesc>
</report>
<report dimension="" type="DQCompOm">
<measDesc>none.</measDesc>
</report>
</dqInfo>
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<ImgDesc>
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</contentTyp>
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<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<maxVal Sync="TRUE">727.354065</maxVal>
<minVal Sync="TRUE">308.802246</minVal>
<bitsPerVal Sync="TRUE">32</bitsPerVal>
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</valUnit>
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