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The NOAA Office for Coastal Management (OCM) downloaded the MI_13Co-BerrienCO_2015 Digital Elevation Model (DEM) files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/OPR/ and processed the data to the Data Access Viewer (DAV) and https.

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Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.</gco:CharacterString>
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               <gmd:otherConstraints>
                  <gco:CharacterString>Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.</gco:CharacterString>
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Any conclusions drawn from the analysis of this information are not the responsibility of the State of Michigan, NOAA, the Office for Coastal Management or its partners.</gco:CharacterString>
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                     <gmd:westBoundLongitude>
                        <gco:Decimal>-86.826204</gco:Decimal>
                     </gmd:westBoundLongitude>
                     <gmd:eastBoundLongitude>
                        <gco:Decimal>-86.221645</gco:Decimal>
                     </gmd:eastBoundLongitude>
                     <gmd:southBoundLatitude>
                        <gco:Decimal>41.758111</gco:Decimal>
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                        <gco:Decimal>42.243797</gco:Decimal>
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                  <gmd:EX_TemporalExtent>
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                        <gml:TimePeriod gml:id="boundingTemporalExtent-1-1">
                           <gml:description> | Currentness: Ground Condition</gml:description>
                           <gml:beginPosition>2015-04-14</gml:beginPosition>
                           <gml:endPosition>2015-06-01</gml:endPosition>
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            <gco:CharacterString>The following are the USGS lidar fields in JSON:
{

"ldrinfo" : {

"ldrspec" : "FEMA Specification QL2 meeting 18.13cm FVA",

"ldrsens" : "Leica ALS80",

"ldrmaxnr" : "4",

"ldrnps" : "0.65",

"ldrdens" : "1.67",

"ldradens" : "2.2",

"ldranps" : "0.71",

"ldrfltht" : "2250",

"ldrfltsp" : "135",

"ldrscana" : "32",

"ldrscanr" : "64",

"ldrpulsr" : "167",

"ldrpulsd" : "10",

"ldrpulsw" : "3",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.3",

"ldrswatw" : "1222",

"ldrswato" : "30",

"ldrcrs" : "NAD_1983_2011_State_Plane_Michigan_South_2113_Ft_Intl",

"ldrgeoid" : "NGS Geoid12a"

},

"ldraccur" : {

"ldrchacc" : "1.0",

"rawfva" : "0.161",

"clsfva" : "0.131",

"clscva" : "0.192",

"clssvas" : {

"svalctyp" : "Urban",

"svavalue" : "0.159"

},

"clssvas" : {

"svalctyp" : "LowVeg",

"svavalue" : "0.215"

},

"clssvas" : {

"svalctyp" : "MedVeg",

"svavalue" : "0.192"

},

"clssvas" : {

"svalctyp" : "HighVeg",

"svavalue" : "0.196"

}

},

"lasinfo" : {

"lasver" : "1.2",

"lasprf" : "1",

"laswheld" : "Withheld (ignore) points were identified in these files using class 10.",

"lasolap" : "Swath "overage" points were identified in these files by classifying to class 11.",

"lasintr" : "10",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-earth"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "All noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "10",

"clasitem" : "Ignored Ground (Breakline Proximity)"

},

"lasclass" : {

"clascode" : "11",

"clasitem" : "Withheld (overlap)"

}

}}</gco:CharacterString>
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                  <gco:CharacterString>Horizontal Positional Accuracy</gco:CharacterString>
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                  <gco:CharacterString>Vertical Positional Accuracy</gco:CharacterString>
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                  <gco:CharacterString>For the DEM data, the FVA, SVA, and CVA were computed. Vertical accuracy was tested with independent survey check points located in various terrain types within Berrien County. Check points were not used in the calibration or post processing of the point cloud data. Survey check points were distributed throughout the block area. Specifications for this project require that the FVA be 9.25 cm  (18.13 cm or better @ 95 percent confidence level).  The RMSE values are defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. 

FVA
0.067m RMSE, or 0.131m FVA @ 95 percent Confidence Interval
The FVA was tested using 38 independent survey check points located in flat terrain types within Area 5. The survey checkpoints were distributed throughout the block area. The 38 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. 
CVA
0.092m RMSE, or 0.192m CVA @ 95th Percentile using all FVA and SVA class checkpoints (CVA) 
The CVA was tested using 155 independent survey check points located in various terrain types within Area 5. The 155 independent check points contained all FVA and SVA class points and were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. 
SVA
0.080m RMSE, or 0.159m SVA @ 95th Percentile 
The SVA for the Urban class was tested using 36 independent survey check points located in urban terrain types within Area 5. The 36 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. 

0.108m RMSE, or 0.215m SVA @ 95th Percentile 0.116m RMSE, or 0.192m SVA @ 95th Percentile 0.098m RMSE, or 0.196m SVA @ 95th Percentile.
The SVA for the Low Veg class was tested using 17 independent survey check points located in low vegetation terrain types within Area 5. The 17 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. 

0.116m RMSE, or 0.192m SVA @ 95th Percentile
SVA for Medium Veg class tested using 27 independent survey check points located in medium veg terrain types within Area 5. The 27 independent check points surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from DEM surface were then compared to the elevation values of the surveyed control. 

0.098m RMSE, or 0.196m SVA @ 95th Percentile
SVA for High Veg class tested using 37 independent survey check points located in high veg terrain types within Area 5. The 37 independent check points surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from DEM surface were compared to the elevation values of the surveyed control.</gco:CharacterString>
               </gmd:evaluationMethodDescription>
               <gmd:result gco:nilReason="missing"/>
            </gmd:DQ_AbsoluteExternalPositionalAccuracy>
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         <gmd:report>
            <gmd:DQ_CompletenessCommission>
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                  <gco:CharacterString>Completeness Report</gco:CharacterString>
               </gmd:nameOfMeasure>
               <gmd:evaluationMethodDescription>
                  <gco:CharacterString>LiDAR data is collected for the project area.  Post processing of the simultaneously acquired GPS/INS is performed and applied to the laser returns to output a point cloud in the specified project coordinate system and datums.  The point cloud data is then subjected to automated classification routines to assign all points in the point cloud to ground, water, overlap and unclassified point classes.  Anomalous laser returns that occur infrequently are removed entirely from the data set.  Once clean bare earth points are established, DEMs are created using bare earth points and hydro features. The DEM surface is then compared to the survey checkpoints. These accuracies must pass the Fundamental Vertical Accuracy, Supplemental Vertical Accuracy, and Consolidated Vertical Accuracy specifications.</gco:CharacterString>
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               <gmd:result gco:nilReason="missing"/>
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                  <gco:CharacterString>Conceptual Consistency</gco:CharacterString>
               </gmd:nameOfMeasure>
               <gmd:evaluationMethodDescription>
                  <gco:CharacterString>LiDAR data is collected within the project area and processed. After the DEMs were created, the dataset was verified against control.  Control was collected in 5 areas.  Area 5 includes Allegan, Berrien, and Van Buren.  Accuracy results are reported for Area 5.</gco:CharacterString>
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               <gmd:result gco:nilReason="missing"/>
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            <gmd:LI_Lineage>
               <gmd:statement gco:nilReason="missing"/>
               <gmd:processStep>
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                     <gmd:description>
                        <gco:CharacterString>At selected locations throughout the site, accurate GPS coordinates and elevations are surveyed and the points are marked with targets.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2015-01-01T00:00:00</gco:DateTime>
                     </gmd:dateTime>
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               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>New LiDAR data is captured for the project area using a Leica ALS80 w/MPiA LiDAR instrument an integrated IPAS20 GPS/INS system mounted within a Aero Commander twin engine airplane.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2015-01-01T00:00:00</gco:DateTime>
                     </gmd:dateTime>
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               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>The airborne GPS data is post-processed in Intertial Explorer software and LEICA CloudPro software to determine the LiDAR sensor's angle and orientation in the terrain (project) coordinate system and datums during the survey.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2015-01-01T00:00:00</gco:DateTime>
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               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
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                        <gco:CharacterString>The post processed GPS/INS solution is applied to the raw lidar data to orient and project the data points into the project area reference system as an unclassified point cloud.</gco:CharacterString>
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                     <gmd:dateTime>
                        <gco:DateTime>2015-01-01T00:00:00</gco:DateTime>
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               </gmd:processStep>
               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>The georeferenced lidar data is then classified and edited in Terrasolid Terrascan software.  Data is classified to produce:  Class 1:  unclassified,  Class 2:  ground,  Class 7:  low point,  Class 9: water, Class 10: ignored ground, Class 11:  withheld.</gco:CharacterString>
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                        <gco:DateTime>2015-01-01T00:00:00</gco:DateTime>
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               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>The bare earth points of the processed lidar data are then output to a DEM tile format. The DEM is compared to the ground control and elevation differences between the surface and surveyed elevation are recorded in tabular form.  Vertical accuracy statistics are then developed to produce vertical RMSE and overall accuracy estimates and reports.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2015-01-01T00:00:00</gco:DateTime>
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               <gmd:processStep>
                  <gmd:LI_ProcessStep>
                     <gmd:description>
                        <gco:CharacterString>The NOAA Office for Coastal Management (OCM) downloaded 2740 MI_13Co-BerrienCO_2015 Digital Elevation Model (DEM) files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/OPR/. The data were in MI State Plane South coordinates and NAVD88 (Geoid12A) elevations in feet. The bare earth raster files were at a 2 ft grid spacing.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:
1. Converted the raster files from img format to cloud optimized geotiff.</gco:CharacterString>
                     </gmd:description>
                     <gmd:dateTime>
                        <gco:DateTime>2018-03-30T00:00:00</gco:DateTime>
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                           <gmd:organisationName>
                              <gmx:Anchor xlink:title="https://ror.org/05v14bq57">Office for Coastal Management</gmx:Anchor>
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                     <gmd:description>
                        <gco:CharacterString>Source Contribution: The classified lidar point cloud is used to derive various data products such as, but not limited to, bare earth gridded DEM, triangulated irregular networks (TIN), contours, digital surface models (DSM).  The output format is fully compliant LAS v1.2 or v1.3, Point Record Format 1</gco:CharacterString>
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                        <gmd:MD_RepresentativeFraction>
                           <gmd:denominator>
                              <gco:Integer>1200</gco:Integer>
                           </gmd:denominator>
                        </gmd:MD_RepresentativeFraction>
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                     <gmd:sourceCitation>
                        <gmd:CI_Citation>
                           <gmd:title>
                              <gco:CharacterString>Classified lidar</gco:CharacterString>
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                        <gmd:EX_Extent>
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                  </gmd:LI_Source>
               </gmd:source>
               <gmd:source>
                  <gmd:LI_Source>
                     <gmd:description>
                        <gco:CharacterString>Source Contribution: Targeted ground control is used to create a digital control file and control report as well as QC check of LiDAR accuracy.  Predefined points (NGS when available) within the project area are targeted.</gco:CharacterString>
                     </gmd:description>
                     <gmd:sourceCitation>
                        <gmd:CI_Citation>
                           <gmd:title>
                              <gco:CharacterString>Ground control</gco:CharacterString>
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                           <gmd:date>
                              <gmd:CI_Date>
                                 <gmd:date>
                                    <gco:Date>2010-01-01</gco:Date>
                                 </gmd:date>
                                 <gmd:dateType>
                                    <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
                                                         codeListValue="publication">publication</gmd:CI_DateTypeCode>
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                  </gmd:LI_Source>
               </gmd:source>
               <gmd:source>
                  <gmd:LI_Source>
                     <gmd:description>
                        <gco:CharacterString>Source Contribution: Aerial LiDAR and GPS/IMU data are recorded for the defined project area at an altitude, flight speed, scanner swath width and scanner pulse frequency to achieve the design goals of the project.</gco:CharacterString>
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                     <gmd:sourceCitation>
                        <gmd:CI_Citation>
                           <gmd:title>
                              <gco:CharacterString>LiDAR Data</gco:CharacterString>
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                              <gco:CharacterString>Originator</gco:CharacterString>
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               <gmd:source>
                  <gmd:LI_Source>
                     <gmd:description>
                        <gco:CharacterString>Source Contribution: Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system</gco:CharacterString>
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                        <gmd:MD_RepresentativeFraction>
                           <gmd:denominator>
                              <gco:Integer>1200</gco:Integer>
                           </gmd:denominator>
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                        <gmd:CI_Citation>
                           <gmd:title>
                              <gco:CharacterString>Post processed GPS/INS</gco:CharacterString>
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               <gmd:source>
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                     <gmd:description>
                        <gco:CharacterString>Source Contribution: The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud.</gco:CharacterString>
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                        <gmd:MD_RepresentativeFraction>
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                              <gco:Integer>1200</gco:Integer>
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                              <gco:CharacterString>Post processed lidar</gco:CharacterString>
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                     <gmd:description>
                        <gco:CharacterString>Source Contribution: The tile definition defines discreet non-overlapping rectangular areas used as cut lines to break up the large classified lidar dataset into smaller, more manageable data tiles.  Each tile is 2500ft by 2500ft in dimension.</gco:CharacterString>
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                        <gmd:MD_RepresentativeFraction>
                           <gmd:denominator>
                              <gco:Integer>1200</gco:Integer>
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                              <gco:CharacterString>Tile Definition</gco:CharacterString>
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               </gmd:source>
            </gmd:LI_Lineage>
         </gmd:lineage>
      </gmd:DQ_DataQuality>
   </gmd:dataQualityInfo>
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