<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata>
<idinfo>
<citation>
<citeinfo>
<origin>Michael Baker International</origin>
<pubdate>20181228</pubdate>
<title>Digital Surface Model (DSM) from Adams County, Illinois Lidar. 2019 </title>
<geoform>Lidar point cloud</geoform>
</citeinfo>
</citation>
<descript>
<abstract>Product: These lidar data are processed Classified LAS 1.4 files, formatted to 6,956 individual 2000 ft x 2000 ft tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: Adams County, Illinois, covering approximately 925 square miles. Dataset Description: Adams County, Illinois project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83, State Plane, Feet and vertical datum of NAVD88 (GEOID12B), Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 6,956 individual 2000 ft x 2000 ft tiles, as tiled Intensity Rasters, and as bare earth DEMs. Ground Conditions: Lidar was collected in April 2018, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Michael Baker International established a total of 31 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 64 independent accuracy check points in Open Terrain and Urban landcovers were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.</abstract>
<purpose>To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare-earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 1 meter cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.</purpose>
<supplinf>CONTRACTOR: Michael Baker International, Inc SUBCONTRACTORS: Aerial Services, Inc and Juneau Associates, Inc All follow up processing was completed by the prime contractor.</supplinf>
<lidar>
<ldrinfo>
<ldrspec>USGS-NGP Base Lidar Specification v1.2</ldrspec>
<ldrsens>Leica ALS-70 HP</ldrsens>
<ldrmaxnr>4</ldrmaxnr>
<ldrnps>0.7</ldrnps>
<ldrdens>2.0</ldrdens>
<ldranps>0.7</ldranps>
<ldradens>2.0</ldradens>
<ldrfltht>1100</ldrfltht>
<ldrfltsp>145</ldrfltsp>
<ldrscana>50</ldrscana>
<ldrscanr>47</ldrscanr>
<ldrpulsr>230</ldrpulsr>
<ldrpulsd>9</ldrpulsd>
<ldrpulsw>0.008</ldrpulsw>
<ldrwavel>1064</ldrwavel>
<ldrmpia>1</ldrmpia>
<ldrbmdiv>0.22</ldrbmdiv>
<ldrswatw>1310</ldrswatw>
<ldrswato>30</ldrswato>
<ldrgeoid>National Geodetic Survey (NGS) Geoid12B</ldrgeoid>
</ldrinfo>
<ldraccur>
<ldrchacc>0.070</ldrchacc>
<rawnva>0.089</rawnva>
<rawnvan>64</rawnvan>
<clsnva>0.112</clsnva>
<clsnvan>64</clsnvan>
<clsvva>0.133</clsvva>
<clsvvan>46</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 using the standard LAS overlap bit.</lasolap>
<lasintr>16</lasintr>
<lasclass>
<clascode>1</clascode>
<clasitem>Processed, but Unclassified with flagged withheld points</clasitem>
</lasclass>
<lasclass>
<clascode>2</clascode>
<clasitem>Bare Earth Ground with flagged model key points</clasitem>
</lasclass>
<lasclass>
<clascode>3</clascode>
<clasitem>Low Vegetation (0.5 to 5 feet)</clasitem>
</lasclass>
<lasclass>
<clascode>4</clascode>
<clasitem>Medium Vegetation (5 to 20 feet)</clasitem>
</lasclass>
<lasclass>
<clascode>5</clascode>
<clasitem>High Vegetation (over 20 feet)</clasitem>
</lasclass>
<lasclass>
<clascode>6</clascode>
<clasitem>Building</clasitem>
</lasclass>
<lasclass>
<clascode>7</clascode>
<clasitem>Low Noise</clasitem>
</lasclass>
<lasclass>
<clascode>9</clascode>
<clasitem>Water</clasitem>
</lasclass>
<lasclass>
<clascode>10</clascode>
<clasitem>Ignored Points near breaklines</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>20180417</begdate>
<enddate>20180420</enddate>
</rngdates>
</timeinfo>
<current>ground condition</current>
</timeperd>
<status>
<progress>Complete</progress>
<update>None planned</update>
</status>
<spdom>
<bounding>
<westbc>-91.527</westbc>
<eastbc>-90.897</eastbc>
<northbc>40.229</northbc>
<southbc>39.729</southbc>
</bounding>
</spdom>
<keywords>
<theme>
<themekt>None</themekt>
<themekey>Model</themekey>
<themekey>LAS Point Cloud</themekey>
<themekey>Remote Sensing</themekey>
<themekey>Elevation Data</themekey>
<themekey>Lidar</themekey>
</theme>
<place>
<placekt>None</placekt>
<placekey>Illinois</placekey>
<placekey>Adams County</placekey>
</place>
</keywords>
<accconst>No restrictions apply to these data.</accconst>
<useconst>None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.</useconst>
</idinfo>
<dataqual>
<logic>Data covers the entire area specified for this project.</logic>
<complete>These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Vertical Accuracy specifications.</complete>
<posacc>
<vertacc>
<vertaccr>The required accuracy (ACCz) is: 0.196 meters at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 0.1 meters in the &#147;bare earth&#148; and "urban" land cover classes. The Vertical Accuracy was tested with 64 check points located in open terrain and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The check points were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. The classified NVA was tested and found to have a RMSE(z) of 0.035 meters. The classified VVA was tested and found to have a RMSE(z) of 0.065 meters. The horizontal accuracy was found to be an RMSEz of 2.743 cm with a minimum Dz of -4.998cm and a maximum of 7.01cm.</vertaccr>
<qvertpa>
<vertaccv>0.089 meters at a 95% confidence level using RMSE(z) x 1.9600</vertaccv>
<vertacce>Tested 0.089 meters at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The Vertical Accuracy of the classified lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 64 independent check points located in Open Terrain and Urban land cover classes.</vertacce>
</qvertpa>
</vertacc>
</posacc>
<lineage>
<srcinfo>
<srccite>
<citeinfo>
<origin>Juneau Associates Inc</origin>
<pubdate>20180511</pubdate>
<title>Ground Control for Adams County LiDAR project</title>
<geoform>vector digital data and tabular digital data</geoform>
<pubinfo>
<pubplace>Granite City, IL</pubplace>
<publish>Juneau Associates, Inc</publish>
</pubinfo>
<othercit>None</othercit>
</citeinfo>
</srccite>
<srcscale>50</srcscale>
<typesrc>Email</typesrc>
<srctime>
<timeinfo>
<sngdate>
<caldate>20180511</caldate>
</sngdate>
</timeinfo>
<srccurr>ground condition</srccurr>
</srctime>
<srccitea>Survey Check Points</srccitea>
<srccontr>This data source was used (along with airborne GNSS/IMU data) to georeference the lidar point cloud data.</srccontr>
</srcinfo>
<procstep>
<procdesc>The following steps describe the Raw Data Processing and Calibration process: 1) Technicians processed the raw data to LAS format flight lines using the ABGNSS/IMU solution. 2) Technicians use TerraSolid TerraMatch to calculate initial calibration adjustment angles by mission and/or block. This is accomplished by identifying ground and above ground feature observations between flight-lines and calculating the offsets. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable. 3) Once the angle calculation was completed the adjusted settings were applied to all of the flight-lines of the mission and/or block and checked for consistency. The technicians utilized commercial software packages to analyze how well flight-line overlaps match and adjusted as necessary until the results met the project specifications. 4) The technicians checked and corrected the vertical misalignment of all flight-lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 6 cm RMSEz within individual swaths and less than or equal to 8 cm RMSDz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the calibrated point cloud against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 1.2, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening.</procdesc>
<srcused>Survey Check Points</srcused>
<procdate>2018</procdate>
<proccont>
<cntinfo>
<cntorgp>
<cntorg>Michael Baker International</cntorg>
<cntper>Rodney Cope</cntper>
</cntorgp>
<cntaddr>
<addrtype>mailing and physical</addrtype>
<address>821 Hesters Crossing</address>
<address>Suite 163</address>
<city>Round Rock</city>
<state>TX</state>
<postal>78681</postal>
<country>USA</country>
</cntaddr>
<cntvoice>(512)770-4762</cntvoice>
<cntfax>N/A</cntfax>
<cntemail>rodney.cope@mbakerintl.com</cntemail>
<hours>Monday - Friday 8 a.m. to 5 p.m. (Central Time)</hours>
<cntinst>If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.</cntinst>
</cntinfo>
</proccont>
</procstep>
<procstep>
<procdesc>LAS Point Classification: The point classification is performed as described below. The bare-earth surface is manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is edited and QC'd, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and River Pond hydro flattening breaklines were then classified to water (ASPRS Class 9) using LP360 functionality. A buffer of 0.5 meters was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and River Stream Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight-line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Esri software, utlizing LAS Datasets, was used as a final check of the bare-earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for the Classified Point Cloud Data. LAStools, LP360 and TerraScan software was used to perform statistical analysis of the classes in the LAS files, on a per tile level to verify classification metrics and full LAS header information.</procdesc>
<procdate>20181217</procdate>
</procstep>
</lineage>
</dataqual>
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<direct>Point</direct>
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<planar>
<planci>
<plance>coordinate pair</plance>
<coordrep>
<absres>0.001</absres>
<ordres>0.001</ordres>
</coordrep>
<plandu>feet</plandu>
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<geodetic>
<horizdn>North American Datum of 1983 2011</horizdn>
<ellips>Geodetic Reference System 80</ellips>
<semiaxis>6378137</semiaxis>
<denflat>298.257222101</denflat>
</geodetic>
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<altsys>
<altdatum>North American Vertical Datum of 1988 - GEOID 12B</altdatum>
<altres>0.001</altres>
<altunits>feet</altunits>
<altenc>Explicit elevation coordinate included with horizontal coordinates</altenc>
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<cntorg>Michael Baker International</cntorg>
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<addrtype>mailing and physical</addrtype>
<address>100 Airside Dr</address>
<address>Airside Business Park</address>
<city>Moon Township</city>
<state>PA</state>
<postal>15108</postal>
<country>USA</country>
</cntaddr>
<cntvoice>(412)269-6300</cntvoice>
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<eMailAdd>info@isgs.edu</eMailAdd>
<country>US</country>
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<idPurp>To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare-earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 1 meter cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Product: These lidar data are processed Classified LAS 1.4 files, formatted to 6,956 individual 2000 ft x 2000 ft tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: Adams County, Illinois, covering approximately 925 square miles. Dataset Description: Adams County, Illinois project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83, State Plane, Feet and vertical datum of NAVD88 (GEOID12B), Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 6,956 individual 2000 ft x 2000 ft tiles, as tiled Intensity Rasters, and as bare earth DEMs. Ground Conditions: Lidar was collected in April 2018, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Michael Baker International established a total of 31 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 64 independent accuracy check points in Open Terrain and Urban landcovers were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Illinois Height Modernization Program, Illinois State Geological Survey, U.S. Geological Survey</idCredit>
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<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">1916069.667498 1117514.318527</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">1916069.667498 1298136.818527</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">2091806.667498 1298136.818527</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">2091806.667498 1117514.318527</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">2003938.167498 1207825.568527</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">117158</dimSize>
<dimResol>
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</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">120415</dimSize>
<dimResol>
<value Sync="TRUE" uom="ftUS">1.500000</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="003"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">adams_dsm</dimDescrp>
<maxVal Sync="TRUE">1277.635864</maxVal>
<minVal Sync="TRUE">419.978729</minVal>
<bitsPerVal Sync="TRUE">32</bitsPerVal>
<valUnit>
<UOM gmlID="" type="length"/>
</valUnit>
</Band>
</covDim>
<attDesc>elevation</attDesc>
<trianInd>False</trianInd>
<radCalDatAv>False</radCalDatAv>
<camCalInAv>False</camCalInAv>
<filmDistInAv>False</filmDistInAv>
<lensDistInAv>False</lensDistInAv>
<covDim>
<RangeDim>
<seqID>
<aName>feet</aName>
<attributeType>
<aName>ft</aName>
</attributeType>
</seqID>
</RangeDim>
</covDim>
</ImgDesc>
</contInfo>
<mdDateSt Sync="TRUE">20190807</mdDateSt>
<Binary>
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</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="001"/>
</role>
</mdContact>
<dqInfo>
<dataLineage>
<prcStep>
<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 10.1 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: Class 1: unclassified Class 2: ground Class 3: low vegetation Class 4: medium vegetation Class 5: high vegetation Class 6: buildings Class 7: noise Class 8: model keypoints Class 9: water Class 10: proximity to breaklines Class 14: bridges Class 17: overlap unclassified Class 18: overlap ground Class 19: overlap low vegetation Class 20: overlap medium vegetation Class 21: overlap high vegetation Class 22: overlap buildings Class 23: overlap noise Class 24: overlap model keypoints Class 25: overlap water Class 26: overlap proximity to breaklines 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</stepDesc>
<stepDateTm>2019-07-26T00:00:00</stepDateTm>
</prcStep>
</dataLineage>
<report dimension="" type="DQCompOm">
<measDesc>Some Issues that ISGS encountered but are within tolerance and thus left were:
1. There is a potential issue with one of the checkpoints NVA100. The elevation is fine, but when the LiDAR was collected a semi was on top of it which a causes issues when testing against the boresight data
2. The are no points with the overlap flag
3. There are visible flight lines (in tolerance) that are visible on the DTM and DSM
4. There are random highpoints visible on the DSM
5. There are 76 tiles that had unusable class 1 points, unclassified (caused the LAS to multipoint tool to fail) As a result no class 1 points where used in creating the derivatives for these tiles
</measDesc>
</report>
</dqInfo>
</metadata>
